AI Data Science & Analytics Jobs

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About The RoleThis is a full-time, onsite role as an AI Adoption Manager at our Berlin HQ, preceded with a three-month rotational program with a pathway into a technical customer-facing role. You'll join a cohort of technical talent who build deep product expertise and customer engagement skills from day one, culminating in a position where you'll drive customer adoption, provide technical support, and manage account-based relationships for leading organizations implementing AI.Our ApproachAt Langdock, we believe the best AI Adoption Managers are technical minds who understand both the product architecture and the customer's business challenges. If you're excited about startups, AI, and driving technical customer impact, this is a unique opportunity to build a foundation in product and customer success before stepping into a high-impact role that combines portfolio management, customer support, and adoption strategy.Program StructureOur AI Adoption Manager position is preceded by a three-month rotation designed to prepare you for the role: Weeks 1-6: Customer Support FoundationsIntensive onboarding and product mastery with a focus on becoming a product expertShadowing customer support interactions and learning to own first responsesUnderstanding customer pain points and common implementation challengesWeeks 7-12: Integrations & Workflow TemplatesHands-on with building integrations, workflow templates, and implementing use casesSupporting customers with technical implementation and adoption strategiesLearning account-based management approaches and portfolio prioritizationUpon graduation, you'll transition into an AI Adoption Manager role, equipped with deep product knowledge, technical support skills, and the ability to manage customer relationships that drive measurable adoption outcomes. What You'll DoMaster Langdock's AI platform through daily product interactions and real use casesOwn the first response to all customer requests, ensuring timely and effective supportManage an ARR-based portfolio of larger customers with an account-based approachProvide support for smaller accounts, ensuring all customers receive the help they needLead customer workshops, technical deep-dives, and implementation sessionsDrive adoption strategies that ensure customers realize value from the platformAct as the voice of the customer internally, influencing product roadmap and strategy What We Look ForTechnical Depth: You understand how AI systems, APIs, databases, and integrations work, and can troubleshoot and support accordinglyCustomer Empathy: You anticipate customer needs, motivations, and pain points, and build trusted advisor relationshipsResponsiveness & Ownership: You take pride in being the first point of contact and owning customer issues through to resolutionStrategic Thinking: You can assess customer portfolios, prioritize based on impact, and think from first principlesSelf-Guided: You drive your own work, take initiative from day one, and work autonomously while prioritizing learning and impactWhy This Approach WorksOur program is designed for people who want to build deep product expertise before owning the entire customer adoption journey. As an AI Adoption Manager, you are the primary point of contact for customer success: from responding to their first question, to managing strategic account relationships, to ensuring continuous adoption and value realization across your portfolio. About YouEarly adopter of AI, excited about its possibilitiesStrong technical foundation (databases, APIs, cloud applications, system integrations)Ability to understand and communicate technical concepts to both technical and non-technical audiencesStrong written and verbal communication in English and GermanThrive in fast-paced, high-growth environmentsTeam player who communicates well with diverse stakeholders, from engineers to C-suiteEager to build a customer-facing career at the intersection of technical support and AI adoption QualificationsExperience in fast-paced environmentsTechnical background (engineering, computer science, technical consulting) or demonstrated ability to quickly master technical conceptsCustomer-facing, support, or account management experience is a plusConsistent record of achievementGerman language skills are required for this role

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Forward Deployed EngineerThe defense market is surging, but the data that drives it hasn’t kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively. We’re growing fast and backed by top funds and DoD/national security veterans.We believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us.The RoleYou'll be on the front lines of deploying technology that’s redefining how defense and government organizations operate. Our Forward Deployed Engineers bridge the gap between product, data, and mission — embedding directly with users across government, military, and industry to understand their workflows, challenges, and objectives. You’ll help architect and implement solutions that transform how they make decisions, run programs, and execute missions.You’ll work closely with our engineering and data teams to translate complex operational problems into technical solutions — and with our customers to ensure those solutions are adopted and driving real-world impact. This is a deeply hands-on role that combines systems thinking, operational empathy, and the ability to drive outcomes in uncertain environments.ResponsibilitiesDeploy and operationalize Obviant’s analytics platform within the Department of War and related organizations, ensuring successful adoption and measurable mission outcomes. Work side-by-side with users to understand their workflows, pain points, and objectives. Design, implement, and iterate on configurations, data models, and workflows that bring clarity and automation to complex operational processes. Collaborate with our product and engineering teams to translate mission requirements into scalable product improvements. Act as the connective tissue between users and the technical stack — guiding organizations on how to use Obviant most effectively, and how to evolve their processes alongside it. Drive user training, onboarding, and sustained engagement to ensure enduring success in the field. Travel to customer sites and work directly alongside mission teams to support deployments and field adoptionQualifications3+ years of professional experience, ideally in a mission-oriented or client-facing technical role. Candidates with 2+ years of relevant FDE experience, including an active or recent DoD security clearance, will also be considered. Clearance-ready (U.S. Citizen with eligibility and willingness to obtain a clearance). Strong technical acumen — able to understand complex systems, data workflows, and technical architectures. Experience implementing or deploying software in operational or government environments. Excellent problem-solving and communication skills, with the ability to convey technical concepts to non-technical users. Comfortable working in ambiguous and fast-changing environments, often interfacing with senior government stakeholders. Passionate about the defense mission and driven by impact more than optics. Prior experience in defense, national security, or government contracting preferred but not required.Our Working Style – Why We Might Work Well TogetherYou care about government & are mission-oriented – Our work is important, and is critical to improving a system that impacts us all.Perseverance and endurance – Hard problems are worth solving, and solving them can take a long time. There is no such thing as exhausting all options, it’s just time to look for new ones.Empowerment > micro-management – We’re building a culture of high-performers. Our job is to equip them with what they need and eliminate roadblocks for them to succeed. We trust their judgment, skills, and experience from there.We’re collaborative and communicate well – Constructive dialogue that takes all viewpoints into account is the only way we get to the right decision. Respect, trust, and complete transparency with each other is critical — keep it all in the open.You’re really good at what you do… but it speaks for itself – High output, no ego. Being humble is extremely important to us.You don’t mind change and are comfortable with uncertainty – We’re deliberate about setting goals, but we’re comfortable changing course and dealing with discomfort to get there. We’re still figuring things out, and that demands being flexible and iterative.Work doesn’t feel like “work” to you – We’re passionate about what we’re going after, and we devote more time to it than a typical 9–5. That often means putting in extra time at night and occasionally on weekends. However, maintaining your own personal balance comes above all else, and you should establish that however you need to — flexible schedule, taking advantage of time off, or anything else you need.You like to move fast and have a bias towards action – Our roadmap is directional at this stage — speed and a feeling of urgency are key to proving it out. We expect each other to proactively determine what needs to get done and go for it.Integrity is never negotiable – Transparency, honesty, and respect come above all else.Benefits & StructureWe’re a tight-knit team headquartered in Arlington, VA. We work in the office together most days and believe being in the same place is a competitive advantage.Flexible schedule – We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks — take care of it whenever you have to. And work from home when you need to.Competitive compensation + Sizeable equity – We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.Flexible vacation time – Use what you want, as long as you’re taking care of what needs to get done.Full health, dental, and vision insurance.And more…

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Senior AI Product ManagerAbout the RoleWe are seeking an experienced and passionate Senior AI Product Manager to join our team. In this role, you will drive the vision, strategy, and execution for our AI-powered products. You’ll work cross-functionally with Engineering, Data Science, Design, and Business teams to deliver impactful AI solutions and deliver exceptional product experiences.ResponsibilitiesDefine and communicate long-term vision and strategic roadmap for AI product offeringsOwn end-to-end product lifecycle management: from ideation and requirements gathering to launch and post-launch optimizationCollaborate with stakeholders and users to identify opportunities for leveraging AI and machine learning to solve complex user problemsWork closely with engineering and data science to establish clear priorities, write product requirements, and deliver high-quality featuresAnalyze data and user feedback to drive continuous product improvementStay updated on cutting-edge AI trends and assess their relevance to our productsManage and mentor junior product managers (as appropriate)Requirements5+ years of product management experience, with at least 2 years in AI or ML-based productsProven track record of taking AI or data-driven products from concept to marketDeep understanding of AI/ML technologies, capabilities, and productization challengesStrong technical acumen and ability to partner effectively with engineers and data scientistsExcellent communication, leadership, and stakeholder management skillsExperience in a fast-paced, agile, technology-driven environmentBachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD a plus)BenefitsOpportunity to drive impact at scale in a rapidly growing companyCollaborative and innovative culture with direct access to leadershipCompetitive compensation package including equity, benefits, and flexible work optionsJoin us and shape the future of AI-powered products!

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the roleAs a Member of Technical Staff, Field Eng at Anyscale, you will be the technical face of our company and biggest advocate for our customers. You’ll work closely with sales, product management, and engineering to ensure that our product has the right experiences and shape to drive value in customer engagements.  The ideal candidate will be a scrappy executor, able to work independently, and lead complex POVs with our users as they adopt Anyscale and Ray. You’ll be on point for demoing our product, scoping POVs, making users successful, and amplifying the voice of our customers. Expect to learn a ton about Ray, Anyscale, and early stage product go-to-market! You’ll be fundamental in helping us disrupt what it means to build distributed applications at scale.  Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences – whether it’s the C-suite or an individual engineer.As part of this role, you'll be involved inBuilding awesome product demos, tutorials, reference architectures, and blogs demonstrating the strong capabilities of the Anyscale platformKnowing Ray from end-to-end and educating customers on how to use RayWorking with customers as they build applications on RayKnowing the ML landscape and toolsets that are at the forefront of cutting edge techWorking cross-functionally to be the voice of our customers and delivering impactful solutions alongside our product and engineering teams Working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for our usersHelping us identify potential improvements and gaps in our product and prioritizing features through the development processEfficiently managing stakeholders to ensure that we stay focused on our key objective and metrics in the sales processDriving crisp communication about our products and services, both internally and externallyWorking alongside marketing and Go-to-Market to create and deliver high quality content to evangelize Anyscale and RayWe'd love to hear from you if you have5+ years of pre- and post-sales experience, either as a sales engineer, solutions engineer, architect, customer success engineer/manager, or a consultantStrong technical skills. You should have working knowledge of Python fundamentals, as well as the ability to learn Ray and build Ray applications with various librariesExperience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologiesExperience in public cloud and enterprise infrastructureCustomer success orientation. You are able to demonstrate technical concepts to technical and non-technical audiences, build value with end users, and drive solutions over the lineCross-functional collaboration with technical stakeholders, including Engineering and ProductAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About the TeamThe AI Deployment & Adoption team turns breakthrough AI products into enterprise-scale impact. We work closely with customers to operationalize OpenAI’s technology by helping organizations move from experimentation to real-world transformation. We accelerate delivery and shape how OpenAI’s products drive value in production. We partner with Sales, Technical Success, and Product to bring frontier AI safely and successfully to market.About the RoleWe are seeking a senior technical leader to manage and scale a high-performing team of AI Deployment Managers. The AI Deployment Manager team (ADM) focuses on deploying ChatGPT Enterprise and driving activation and adoption through structured onboarding, training, and change management playbooks. ADMs are also responsible for the technical deployment of ChatGPT, including integrating connectors, Codex, custom GPTs, and other advanced capabilities we continue to release.In this role, you will guide team strategy, ensure strong execution and technical hiring and rigor, and cultivate deep customer relationships. You will stay close to the field while developing mechanisms that support scale, excellence, consistency, and operational rigor across the team.This role is based in New York or San Francisco and follows a hybrid schedule of three days per week in office. Regional travel is expected.In This Role, You WillOwn the strategy and operating model for the deployment team, ensuring alignment with OpenAI’s objectives and customer needs.Hire, lead, mentor, and develop a high-performing team of deployment managers, ensuring strong technical foundations and customer outcomes while achieving scale.Oversee the successful deployment and adoption of OpenAI products across a diverse portfolio of enterprises, digital native organizations, and high-growth companies.Represent the voice of customers to influence product development and commercial strategy.Establish operating rhythms for the team (e.g., leadership rollups, knowledge-sharing forums, and best-practice exchange) to ensure consistency and scalability.Develop scalable programs, playbooks, and operating mechanisms.Partner cross-functionally with Sales, Solutions Architecture, Solutions Engineering, and Product to ensure a unified customer experience.You’ll Thrive in This Role If You8+ years of experience leading technical teams, including 3+ years managing post-sales technical deployment functions, customer engineering, or technical professional services, in enterprise SaaS or AI environments.Proven track record scaling technical teams in high-growth environments, with proven success in scaling operating models.Have experience designing or owning coverage models, staffing strategies, and engagement frameworks for post-sales technical teams.Proven ability to engage and influence executive stakeholders within complex global organizations.Are a strong communicator who can bridge technical and business conversations.Have experience with Generative AI (preferred) or adjacent SaaS platforms.Operate with humility, ownership, and a willingness to do what it takes to make customers and the team successful.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe Readiness Team is essential to translating OpenAI’s cutting-edge research into real-world customer impact. As part of the GTM organization, they empower customer-facing teams with the knowledge, tools, and frameworks needed to deliver meaningful outcomes. By turning complex product innovations into practical, scalable enablement programs, they ensure teams are prepared and aligned with OpenAI’s mission of responsible, high-impact AI adoption.About the roleOpenAI is hiring an experienced Technical Product Enablement Lead to empower our customer-facing teams—Sales Engineers, Solutions Architects, and Customer Success Managers—to deliver maximum value from our advanced AI technologies. This role will play a pivotal part in shaping our go-to-market (GTM) strategy, directly influencing customer adoption and success.You'll own the creation and execution of our technical enablement programs, ensuring our GTM teams are equipped with the knowledge, tools, and frameworks they need to drive customer outcomes from initial engagement through long-term adoption.This role is based at our headquarters in San Francisco.In this role, you will:Develop and lead comprehensive technical enablement strategies that align with OpenAI's goals and support our GTM teams.Collaborate closely with Product, Engineering, and Research teams to quickly turn cutting-edge innovations into practical, customer-ready materials.Create and deliver high-quality enablement content, including technical playbooks, customer scenarios, demos, and product deep-dives.Establish clear success metrics and continuously measure, track, and enhance the impact of technical enablement initiatives.Drive scalable enablement programs, leveraging OpenAI's own technology to provide personalized, effective learning experiences.Act as a trusted partner to GTM leadership, clearly communicating progress, outcomes, and areas for improvement.Foster a culture of customer-centricity, ensuring all technical enablement efforts directly improve customer adoption and satisfaction.Champion responsible and ethical use of AI, embedding these principles into all enablement content and activities.You'll thrive in this role if you:Have significant experience in technical enablement or program management within fast-paced technology companies, particularly in AI or advanced software.Excel at simplifying complex technical concepts into clear, compelling, and actionable content.Are skilled at rapidly developing high-quality, scalable learning programs tailored to different roles and experience levels.Communicate effectively across technical and non-technical audiences, building trust and alignment with stakeholders at all levels.Have a customer-first mindset with a proven track record of improving customer outcomes through enablement.Are proactive, organized, and solution-oriented, adept at navigating challenges and adapting quickly to changes.Passionately advocate for the ethical and safe deployment of advanced technologies.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.About the Role:We’re looking for a Product Marketing Manager (PMM) to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives.Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator.What You’ll Do:Lead Product Marketing for our Launches Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.Shape Messaging & Positioning Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.Create Sales & Growth Enablement Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.Lead Competitive and Market Insights Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.Analyze & Learn Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.You'll be a Good Fit if you:Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)Love building from scratch — frameworks, processes, teams, and strategyExcellent written communication and storytelling skills, with the ability to simplify complexityAre equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional syncHave a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbookProven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful storiesStrong project management skills — you can juggle multiple launches and keep teams aligned under pressureExperience with sales enablement and competitive positioning for technical audiencesA collaborative, low-ego approach and willingness to dig into the detailsBonus Points:Experience in app development space or marketing to product managers, designers, sales, marketing or operations teamsExperience with Partner/Ecosystem Marketing- to start with, we are looking for a generalist who can also help out with Partner MarketingExperience at a startup or high-growth environment where speed and adaptability matterUnderstanding of AI and machine learning technologiesA track record of successful launches for developer-facing products Example Projects:Establishing a repeatable launch rhythm for major features and smaller updatesBuilding a competitive intelligence framework for the AI coding assistant spaceDeveloping persona-driven messaging for builders across different segments and company sizesLaunching and executing co-marketing initiatives with Replit’s partner ecosystemCoordinating cross-functional launches with engineering, product and marketingDefining metrics and feedback loops between product, marketing, and the our builder communityThis 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.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.

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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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. 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:€165.000—€215.000 EURLogistics 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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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!About North & Atlas:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. Atlas is a component within North powering the syncing of data from a variety of sources such as Outlook, OneDrive, SharePoint, and more. Atlas ensures that North can reliably access and surface the most relevant information for our users from their own data.As a Software Engineer on the team, you will:Build and ship features into North, our AI workspace platformWrite robust integrations to reliably sync, parse, and index documents for downstream AI useImplement efficient, secure logic that keeps user documents accurate and up to dateCollaborate across the North stack to deliver seamless user experiences when connecting to and interacting with dataWork closely with researchers to refine parsing strategies and techniques for the most effective agentic search outcomesYou may be a good fit if:You have professional experience coding in GoYou have experience with database migrations, ETL pipelines, and transforming raw data into reliable, structured formatsYou have built personal or professional projects using search, retrievals, or vector databasesYou have strong coding abilities and are comfortable working across the stack.You are excited by the challenge of securely connecting users to their most relevant data within North(Nice to have) Experience with Kubernetes or React, enabling greater autonomy when shipping features across the stackYou’ve worked in both large enterprises and startupsYou excel in fast-paced environments and can execute while priorities and objectives evolveIf 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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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's, Master’s or PhD Degree in Mathematics and/or in relevant area. You have at least 1 year of professional experience with focus in one of the following fields: Algebra (Intermediate Algebra, Algebra, pre-algebra), Geometry, Calculus (pre-calculus), Probability (counting and probability), Number theory. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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ABOUT FATHOMWe think it’s broken that so many people and businesses rely on notes to remember and share insights from their meetings. We created Fathom to eliminate the needless overhead of meetings. Our AI assistant captures, summarizes, and organizes the key moments of your calls, so you and your team can stay fully present without sacrificing context or clarity. From instant, searchable call summaries to seamless CRM updates and team-wide sharing, Fathom transforms meetings from a source of friction into a place for alignment and momentum. We started Fathom to rid us all of the tyranny of note-taking, and people seem to really love what we've built so far: 🥇 #1 Highest Satisfaction Product of 2024 on G2🔥 #1 Rated on G2 with 4,500+ reviews and a perfect 5/5 rating🥇 #1 Product of the Day and #2 AI Product of the Year🚀 Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces📈 We’re hitting usage and revenue records every weekWe're growing incredibly quickly, so we're looking to grow our small but mighty team.Role Overview:We are looking for an SRE who is passionate about leveraging data and automation to drive a highly dynamic infrastructure. The role is a unique blend of infrastructure and internal tooling to reduce friction at every step of delivering an amazing customer experience.As part of our team, you'll play a pivotal role in scaling our infrastructure, reducing toil through automation, and contributing to our culture of innovation and continuous improvement.What you’ll do:By 30 Days:Use your observability background to help scale our existing tools to new heights as we continue to grow the platform.Enhance our existing automation for scaling our infrastructure and improve the development experience.By 90 Days:Play a key role in continuing to diversify and scale our platform across additional regions.Evaluate options to replace our existing real-time data pipeline for enhanced multi-regional capabilities.Provide platform support to all of engineering, using data-driven decision-making.By 1 Year:Work with engineering to re-evaluate what observability means for the Fathom platform, and drive improvements to remove frictionHelp us design and implement improvements to our elastic multi-regional storage platform.Drive platform improvements to enhance reliability and efficiencyRequirements:Hard Skills:Proficiency with and preference for Infrastructure as Code / GitOps tooling.Foundation in Observability best practices and implementation.Experience in a SaaS or PaaS environment.Experience with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE), including proficiency with GCP/GKE networkingFamiliarity with our tech stack: Message Queues, Prometheus, ClickHouse, ArgoCD, Github Actions, Golang. (Ruby / Rails is a bonus)Soft Skills:Curiosity-driven with a focus on delivering results.A generalist mindset with the ability to dive deep into a wide range of challenges.Resilience and an ability to grind through complex problems.Openness to disagreement and commitment to decisions once made.Strong collaborative skills, with the ability to explain complex insights in an accessible manner.Independence in managing one’s workload and priorities.What You'll Get:The opportunity to shape the dynamic platform of a growing company.A role that balances scaling infrastructure, enabling development teams, and internal tooling developmentA chance to work with a dynamic and collaborative team.Competitive compensation and benefits.A supportive environment that encourages innovation and personal growth.Join Us:If you're excited to own the data journey at Fathom and contribute to our mission with your analytical expertise, we would love to hear from you. Apply now to become a key player in our data-driven success story.

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the Role:Decagon is looking for a Senior Solutions Engineer, a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems.You may be a good fit if you:4-6 years of customer facing experience in a sales engineering (pre-sales) rolePartner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customerCreate and architect generative AI experiences for our customer’s end usersDevelop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and valueCommunicate complex technical concepts clearly to diverse stakeholders, including C-level decision makers, business users, and engineering stakeholdersStrong interpersonal and teamwork skillsFunctional understanding of GTM systems and workflowsEven better if you:2+ years of AI sales engineering experienceExperience in a high-growth startup environmentBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your best

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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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. 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:€165.000—€215.000 EURLogistics 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 Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll DoValidate and verify the organization's security controls and practices meet the requirements of ISO 27001, 27701, PCI, SOC 2 and other relevant regulatory requirements to ensure alignment to business objectivesManage IT Risk Register including risk identification, tracking, and prioritization.Assist with and drive remediation of control deficiencies and gapsProvide guidance to Control Owners in the planning, design, implementation, operation, maintenance & remediation of control activities and other supporting requirements (e.g. policies, standards, processes, system configurations, etc.)Communicate with technical and non-technical stakeholders and leaders on cybersecurity risk and controls management topics and program-specific reportingAssist with the Customer Trust program which may include managing customer assessments, and security questionnairesAssist control owners with root cause analysis and track risk management action plan progress.Create risk metrics for management regarding information security control maturity, compliance status, risks, performance and findings Assist with the third-party risk management assessment process, ensuring consistent enforcement of information security requirementsYouHave a minimum of 8 years of experience supporting cybersecurity risk or controls management programs with in-depth knowledge and experience of cybersecurity frameworks including ISO 27001 and 27701, PCI-DSS, SOC, NIST CSF and other regulatory requirementsHave experience managing and running audits, certification programs and control assessments. This includes but is not limited to scope planning, defining control procedures based on requirements, policies and standards, control testing, and mapping issues to risksHave experience collaborating closely with engineers, business teams, and security partners, including incident response, red teams, and architects to seamlessly incorporate cybersecurity controls and risk management processes into their day-to-day operationsPossess a strong ability to define, drive and execute a program vision, strategy, approach and milestones in alignment with organization priorities and initiativesNice to HaveExperience in the machine learning or computer hardware industryExperience with Security by Design and/or Privacy by Design principlesExperience with standard cyber controls frameworks, including CIS Top18, NIST Cyber Security Framework (CSF), NIST 800.53, NIST 800.171, CMMC, Cybersecurity Maturity Model Certification (CMMC), ISO 27001 and 27701, and SOX ITGC control frameworks.Broad knowledge of IT infrastructure and architecture of computer systems as well as exposure to a variety of platforms such as operating systems, networks, databases, and ERP systemsFamiliarity with using third-party tools such as Audit Board, Whistic, RSA Archer, ServiceNow for third-party risk managementCertified Information Systems Auditor (CISA)Certified Information Security Manager (CISM)Certified Information Systems Security Professional (CISSP)Certified in Risk and Information Systems Control (CRISC)Experience in the AI infrastructure, machine learning and/or computer hardware industrySalary 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.