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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.Mindrift is looking for passionate freelance contributors to join the Tendem project (https://tendem.ai/) and help shape the future of hybrid agents — where human expertise and Vibe Coding work together seamlessly. As a Vibe Coding Expert, you’ll partner with systems that take on repetitive tasks, while you provide the nuance, judgment, and creativity needed to deliver outstanding results. In this role, you won’t just refine what Vibe Coding generates — you’ll actively collaborate with it, shaping and completing outputs so they are accurate, reliable, and ready for real-world use. Your day-to-day work may range from tackling complex challenges across different domains with the support of automation, to producing well-reasoned, precise, and clearly written outputs backed by credible sources. This flexible, part-time remote opportunity is ideal for professionals with technical expertise and hands-on experience in scripting, automation, or AI-driven tools. Your contributions will directly influence how Vibe Coding systems evolve, learn, and empower industries worldwide.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 RoleThis is a freelance role for a project, and your typical tasks may include: Your mission - deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Solve complex tasks in different domains with the help of automations Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks. Write and optimize Python scripts for data analysis, automation, and verification. Work with large datasets efficiently, ensuring data is clean and well-structured. Utilize various LLMs to generate advanced prompts and improve AI output quality. Format outputs in required structures such as Markdown, JSON, tables, etc. Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields.You have a minimum of 1 year of professional experience in AI automation, data engineering, or software development is desirable.Your level of English is upper-intermediate (B2) or above.Strong data analysis and automation skills, with experience in scripting (e.g., Python) for task efficiency. Proficient in working with large datasets and integrating data from multiple sources.Ability to develop, test, and optimize AI-driven workflows and tools. Detail-oriented mindset to ensure accuracy and quality in data processing and output Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.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 $22/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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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.Mindrift is looking for passionate freelance contributors to join the Tendem project (https://tendem.ai/) and help shape the future of hybrid agents — where human expertise and Vibe Coding work together seamlessly. As a Vibe Coding Expert, you’ll partner with systems that take on repetitive tasks, while you provide the nuance, judgment, and creativity needed to deliver outstanding results. In this role, you won’t just refine what Vibe Coding generates — you’ll actively collaborate with it, shaping and completing outputs so they are accurate, reliable, and ready for real-world use. Your day-to-day work may range from tackling complex challenges across different domains with the support of automation, to producing well-reasoned, precise, and clearly written outputs backed by credible sources. This flexible, part-time remote opportunity is ideal for professionals with technical expertise and hands-on experience in scripting, automation, or AI-driven tools. Your contributions will directly influence how Vibe Coding systems evolve, learn, and empower industries worldwide.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 RoleThis is a freelance role for a project, and your typical tasks may include: Your mission - deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Solve complex tasks in different domains with the help of automations Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks. Write and optimize Python scripts for data analysis, automation, and verification. Work with large datasets efficiently, ensuring data is clean and well-structured. Utilize various LLMs to generate advanced prompts and improve AI output quality. Format outputs in required structures such as Markdown, JSON, tables, etc. Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields.You have a minimum of 1 year of professional experience in AI automation, data engineering, or software development is desirable.Your level of English is upper-intermediate (B2) or above.Strong data analysis and automation skills, with experience in scripting (e.g., Python) for task efficiency. Proficient in working with large datasets and integrating data from multiple sources.Ability to develop, test, and optimize AI-driven workflows and tools. Detail-oriented mindset to ensure accuracy and quality in data processing and output Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.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 $15/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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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.Mindrift is looking for passionate freelance contributors to join the Tendem project (https://tendem.ai/) and help shape the future of hybrid agents — where human expertise and Vibe Coding work together seamlessly. As a Vibe Coding Expert, you’ll partner with systems that take on repetitive tasks, while you provide the nuance, judgment, and creativity needed to deliver outstanding results. In this role, you won’t just refine what Vibe Coding generates — you’ll actively collaborate with it, shaping and completing outputs so they are accurate, reliable, and ready for real-world use. Your day-to-day work may range from tackling complex challenges across different domains with the support of automation, to producing well-reasoned, precise, and clearly written outputs backed by credible sources. This flexible, part-time remote opportunity is ideal for professionals with technical expertise and hands-on experience in scripting, automation, or AI-driven tools. Your contributions will directly influence how Vibe Coding systems evolve, learn, and empower industries worldwide.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 RoleThis is a freelance role for a project, and your typical tasks may include: Your mission - deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Solve complex tasks in different domains with the help of automations Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks. Write and optimize Python scripts for data analysis, automation, and verification. Work with large datasets efficiently, ensuring data is clean and well-structured. Utilize various LLMs to generate advanced prompts and improve AI output quality. Format outputs in required structures such as Markdown, JSON, tables, etc. Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields.You have a minimum of 1 year of professional experience in AI automation, data engineering, or software development is desirable.Your level of English is upper-intermediate (B2) or above.Strong data analysis and automation skills, with experience in scripting (e.g., Python) for task efficiency. Proficient in working with large datasets and integrating data from multiple sources.Ability to develop, test, and optimize AI-driven workflows and tools. Detail-oriented mindset to ensure accuracy and quality in data processing and output Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.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 $10/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 Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!What we offer💰 Competitive salary and equity.🚑 Healthcare: Medical/Dental/Vision covered for you and your family.👴🏻 Pension : 401K (6% matching)🏝️ PTO : 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport🏀 Sport: $120/month reimbursement for gym membership🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)🌎 Visa sponsorship 🤝 Coaching: we offer BetterUp coaching on a voluntary basisWhy join us?  You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

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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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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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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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About us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not nearly as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data. For 95% of teams, this essential step is both the most costly, and the most time-consuming in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a team of 100+, working at the cutting edge of multimodal and visual AI. Encord is backed by top investors, including CRV, Y Combinator, and Next47, leading industry executives like Luc Vincent, former VP of AI at Meta, and other Bay Area AI leaders. We are one the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. The roleWe’re looking for an exceptional Deployment Strategist to join our post-sales team. You’ll be excited to deploy a cutting-edge AI platform, shape a critical function for Encord & our customers, and accelerate your career in a fast-paced, high-growth environment. You will own the deployment of the Encord platform, working with some of our largest customers to drive adoption and value-delivery. You'll become a product expert, and work with internal teams (technical & commercial) to build a well-oiled engine that consistently enables customers to get up and running successfully, at scale. You will be working on a mix of operational work (running onboardings and demos, ensuring integrations are set up correctly, guiding tech teams through best practices) and strategic work (ideating and executing on success plans, expanding our connections across our customer base). You'll be joining Encord at an inflection point — over the last 18 months, we've built a world-class team, raised our $30M Series B (from Next47, YC, Crane) and onboarded hundreds of the leading AI companies onto Encord. If you're ready to take ownership, solve complex problems, and help define the future of AI infrastructure, this role is for you!  About you - You have 2-8 years of experience in a client-facing role in a high-intensity, fast-paced environment. - You're as comfortable handling in-the-weeds product configuration queries as you are communicating to executives about a project plan. You are a great communicator and enjoy running demos, hosting workshops and building relationships with customers. - You derive energy from owning & successfully completing projects, and are great at balancing detail-focus with bigger-picture thinking. - You are highly organized and great at managing your time across many competing priorities. - You're ambitious and care lots about your career. You're probably happiest when working really hard and solving challenging problems. You know this requires dedication & some sacrifice but you think it's worth it. You want to rise faster than would be possible in any 'normal' career and you're happy to roll up your sleeves and do whatever is required. - You’ve consistently performed in the top percentile of whatever environment you’ve been in, whether in academia, business, sport, work, or whatever else you've put your mind to. What we offer- Competitive salary and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- 25 days annual leave a year + public holidays.- Annual learning and development budget.- Paid trips to visit prospects, attend conferences, host events across UK, Europe and US.- Company lunches twice a week.- Monthly socials & bi-annual off-sites.

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About us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not nearly as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data. For 95% of teams, this essential step is both the most costly, and the most time-consuming in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a team of 100+, working at the cutting edge of multimodal and visual AI. Encord is backed by top investors, including CRV, Y Combinator, and Next47, leading industry executives like Luc Vincent, former VP of AI at Meta, and other Bay Area AI leaders. We are one the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. The roleWe’re looking for an exceptional Deployment Strategist to join our post-sales team. You’ll be excited to deploy a cutting-edge AI platform, shape a critical function for Encord & our customers, and accelerate your career in a fast-paced, high-growth environment. You will own the deployment of the Encord platform, working with some of our largest customers to drive adoption and value-delivery. You'll become a product expert, and work with internal teams (technical & commercial) to build a well-oiled engine that consistently enables customers to get up and running successfully, at scale. You will be working on a mix of operational work (running onboardings and demos, ensuring integrations are set up correctly, guiding tech teams through best practices) and strategic work (ideating and executing on success plans, expanding our connections across our customer base). You'll be joining Encord at an inflection point — over the last 18 months, we've built a world-class team, raised our $30M Series B (from Next47, YC, Crane) and onboarded hundreds of the leading AI companies onto Encord. If you're ready to take ownership, solve complex problems, and help define the future of AI infrastructure, this role is for you!  About you - You have 2-8 years of experience in a client-facing role in a high-intensity, fast-paced environment. - You're as comfortable handling in-the-weeds product configuration queries as you are communicating to executives about a project plan. You are a great communicator and enjoy running demos, hosting workshops and building relationships with customers. - You derive energy from owning & successfully completing projects, and are great at balancing detail-focus with bigger-picture thinking. - You are highly organized and great at managing your time across many competing priorities. - You're ambitious and care lots about your career. You're probably happiest when working really hard and solving challenging problems. You know this requires dedication & some sacrifice but you think it's worth it. You want to rise faster than would be possible in any 'normal' career and you're happy to roll up your sleeves and do whatever is required. - You’ve consistently performed in the top percentile of whatever environment you’ve been in, whether in academia, business, sport, work, or whatever else you've put your mind to. What we offer- Competitive salary and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week in our loft office in North Beach.- 18 days annual leave a year + public holidays.- Annual learning and development budget.- Paid trips to visit prospects, attend conferences, host events across UK, Europe and US.- Company lunches twice a week.- Monthly socials & bi-annual off-sites.

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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.We are looking for a SOC Engineer to join our Security Operations team and help defend a fast-moving, cloud-native AI vibe-coding platform. In this role, you will stay on top of emerging threats—from 0-days and active exploitation campaigns to bug bounty findings and customer-reported issues—and rapidly determine their relevance and potential impact to Replit. You will conduct investigations, analyze signals across our environment, and collaborate with Security, SRE, and Engineering teams to develop and drive effective containment and mitigation strategies.This is a hands-on, investigative role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and the ability to work across multiple teams in a fast-paced environment.ResponsibilitiesThreat Awareness & Rapid AssessmentContinuously monitor emerging threats, including bad actor activity, 0-day vulnerabilities, public exploitation campaigns, bug bounty reports, and customer-reported security issuesQuickly assess the applicability of these threats to Replit’s cloud infrastructure, SaaS services, internal tooling, and platform components. Investigation & Impact AnalysisConduct targeted investigations to determine whether Replit is already impacted by a newly discovered threat, vulnerability, or exploit.Analyze logs, telemetry, and system behaviors using SIEM, metrics, Cloud Logging, and related tools.Identify gaps or weaknesses in existing detection or visibility and propose improvements. Containment, Mitigation & Cross-Team CollaborationResearch potential impact paths and develop mitigation strategies for confirmed or applicable threats.Partner closely with Security, SRE, and Engineering teams to coordinate and implement containment, patches, configuration updates, or code-level fixes.Document findings, mitigations, and follow-up actions clearly for internal teams.Required Skills & ExperienceStrong understanding of software engineering fundamentals, including code structure, build systems, dependencies, and package ecosystems—enabling effective partnership with Engineering teams.Understanding of CI/CD pipelines and DevOps workflows, enabling collaboration with Infrastructure and DevOps teams.Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services used in modern cloud-native deployments.Familiarity with SaaS architectures, identity systems, and integration patterns for effective collaboration with Cloud Security teams.Hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows.Ability to perform investigations using log data, behavioral indicators, and threat intelligence.General understanding of vulnerability lifecycles, exploitability analysis, and common attack vectors.Preferred QualificationsExperience with threat intelligence, security research, or vulnerability analysis.Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems.Ability to write scripts or small tools for investigation or automation (Python, Go, Bash).Experience working with bug bounty programs or coordinated vulnerability disclosure workflows.Experience in fast-paced, cloud-native, or AI/ML-driven environments. What We ValueCuriosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems.Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning.Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure.Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels.Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completionContinuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices.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.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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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.We are looking for a Security Operations Lead (SOC Lead) to build, mature, and operate our 24/7 detection and response capabilities across a modern cloud-native and AI-driven environment. This role leads the global SOC function—monitoring, SIEM ownership, detection engineering, alert triage, and operational readiness—while also evaluating and integrating emerging AI-based SOC products and autonomous response platforms.You will oversee monitoring across multi-cloud environments (GCP primary, AWS/Azure secondary), Kubernetes, SaaS services, endpoints, developer tools, and AI workloads. You’ll collaborate closely with Cloud Security, Compliance/GRC, SRE, Platform Engineering, IT/Endpoint teams, and AI Infrastructure to ensure our detection strategy scales and stays ahead of evolving threats.This is a hands-on leadership role perfect for someone who wants to shape the SOC of the future while solving complex challenges in a high-scale AI setting.What You’ll DoSOC Leadership & 24/7 MonitoringLead, mentor, and scale a global SOC team responsible for 24/7 monitoring, alert intake, triage, correlation, and escalation.Build operational rigor: processes, runbooks, SLAs, metrics, and quality standards for high-scale environments.Cover monitoring across:Cloud infrastructure (GCP, AWS, Azure)Kubernetes/GKE/EKS/AKS clustersSaaS platforms (Google Workspace, GitHub, Slack, Okta, etc.)Endpoints (macOS, Linux, Windows) including EDR/XDR telemetryDeveloper platforms + CI/CD pipelinesAI/ML systems and model-serving workflows AI-Based SOC Integration & InnovationEvaluate, adopt, and integrate AI-native SOC technologies for triaging, detection, and correlationIdentify opportunities to automate triage, investigations, enrichment, and reporting.Serve as the internal expert on the capabilities and limitations of AI-based SOC tooling. SIEM & Telemetry OwnershipOwn the entire SIEM ecosystem—ingestion, normalization, correlation, enrichment, tuning, dashboards, and metrics.Expand telemetry across:Cloud logs, API logs, system eventsSaaS audit logs and admin eventsIdentity providers (Okta, Google, Azure AD)Endpoint EDR/XDR event streamsStandardize data schemas and improve detection signal quality across sources. Detection EngineeringDevelop high-fidelity detections for:Cloud-native attacksIdentity threats and lateral movementSaaS misconfigurations and privilege abuseEndpoint malware/behavior anomaliesInsider threats and account takeover patternsUse MITRE ATT&CK, MITRE Cloud Matrix, and threat intel to drive detection coverage.Collaborate with Engineering, Cloud Security, and SRE to ensure telemetry supports detection use cases. Triage, Threat Analysis & EscalationLead day-to-day triage and threat analysis activities, ensuring accurate categorization and prioritization.Drive complex investigations involving correlated events across cloud, SaaS, endpoints, and developer platforms.Guide root cause analysis and work with owners to drive remediation and architectural improvements.Continuously refine logic, reduce false positives, and improve signal quality. Cross-Functional CollaborationPartner with Cloud Security on cloud posture and preventative controls.Work with Compliance/GRC to support SOC 2, ISO 27001, and audit readiness.Collaborate with SRE and Engineering to instrument new services with structured logs and detection hooks.Coordinate with IT / Endpoint teams to ensure full endpoint telemetry and EDR response readiness.Communicate threats, gaps, and trends to leadership and engineering stakeholders. Required Skills & Experience7+ years of experience in Security Operations, with 3+ years in a senior or lead capacity.Experience leading or collaborating with 24/7 SOC environments (internal, hybrid, or MSSP).Strong experience with SIEM platforms (Chronicle, Splunk, Elastic, Sentinel, Panther, etc.).Deep understanding of:Cloud security monitoring (GCP required; AWS/Azure preferred)SaaS security monitoring (Okta, Google Workspace, GitHub, Slack, etc.)Endpoint security telemetry (EDR/XDR tools such as CrowdStrike, SentinelOne, or Defender)Kubernetes and container detectionHands-on detection engineering skills, event correlation, threat hunting, and log analysis.Familiarity with AI-based SOC platforms and LLM-driven detection/triage tools.Strong understanding of identity security, OAuth/OIDC, and API telemetry patterns.Experience with SOAR and scripting (Python, Go, Bash).Knowledge of MITRE ATT&CK, cloud kill chains, behavioral detections, and detection lifecycle management.Preferred QualificationsExperience with UBA/UEBA, ML-driven anomaly detection, or autonomous remediation systems.Previous experience at a high-growth tech company.Security certifications (GCIH, GCIA, GCTI, GCDA, GCFA, etc.).What We ValueOperational excellence: Building reliable, scalable SOC systems.Analytical rigor: Capable of making sense of large, complex, multi-source telemetry.Leadership: Mentorship and guidance of analysts and engineers.Adaptability: Comfortable evaluating and integrating next-gen AI-based SOC tools.Clear communication: Able to articulate risk, incidents, and recommendations to both technical and executive audiences.Automation mindset: Focused on reducing manual toil via SOAR, scripting, and AI augmentation. Curiosity: Passion for learning, experimenting, and staying ahead of evolving threats—especially those targeting cloud-native and AI systems.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.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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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: As a Data Engineer, your job is to facilitate data analytics and measurement at scale at Replit. You'll work with product and business teams to help build data pipelines and transformations to enable us to understand and measure product usage. You'll also work to make our data scientists and analysts -- and the business decisions that depend on them-- more powerful and efficient.You will:Design, build, and maintain scalable data pipelines that power analytics and data-driven decision-making across Replit (e.g. tracking Repl deployments, AI agent usage, etc.)Develop ETL/ELT workflows using modern data stack tools and transform raw data into clean, reliable datasets that enable self-service analytics.Partner with teams across the company to understand data needs, deliver robust solutions, and implement data quality monitoring to ensure accuracy and reliability.Examples of what you could do:Build unified data models combining product usage, billing, and customer data to enable cohort analysis and retention tracking.Design real-time pipelines that surface key metrics and automated data quality checks to catch inconsistencies before they impact downstream users.Create dimensional models that enable flexible analysis of user behavior, feature adoption, and conversion funnels.Required skills and experience:5+ years of experience building production data pipelines with strong SQL skills and experience designing data models.Experience with modern data transformation tools (dbt preferred), proficiency in Python, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, Redshift).Understanding of data warehouse design principles and ability to communicate effectively with both technical and non-technical stakeholders.Preferred Qualifications:Experience with modern data stack tools (dbt, Fivetran, Segment, HEX, Databricks, Amplitude) and background in high-growth SaaS or PLG companies.Familiarity with event-based analytics platforms, data visualization tools, and software engineering best practices.Bonus Points:Experience with real-time data processing, reverse ETL tools, or developer tools and collaborative coding environments.Knowledge of data governance frameworks or machine learning pipelines and feature engineering.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.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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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.Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments.In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams.This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams.What You’ll Do:Cloud Security EngineeringLead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure.Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows.Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations.Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services.Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity.Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs. Secure Development & Architecture EnablementPartner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments. Cross-Functional ResponsibilitiesCollaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure.Participate in communicating security advisories, best practices, and updates to Replit’s customers.Support incident investigations as a cloud security subject-matter expert.Required Skills & Experience:7+ years of experience in cloud engineering, with 3+ years in a senior or lead role.Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.).Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging).Experience securing and governing SaaS platforms and identity integrations.Operational experience with infrastructure vulnerability management across cloud and container environments.Working knowledge of AWS and/or Azure security services and configurations.Experience with container and Kubernetes security across GKE, EKS, or AKS.Strong IaC security experience with Terraform, Pulumi, or similar tooling.Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS).Preferred Qualifications:Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments.Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services.Experience in high-growth technology or cloud-native product companies.Experience with securing AI/agentic systems and sensitive data pipelines.Automation/scripting with Python.Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs).What We Value:Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions.Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight.Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers.Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats.Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems.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.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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YOUR MISSION: As Business Development Representative you play a crucial role in scaling our business in North America by enhancing our revenue engine to become more predictable and scalable. You will be a key driver of revenue by actively sourcing new business - with a focus on enterprise customers.  IN THIS ROLE YOU WILL: Build the revenue engine together with the revenue growth team and our enterprise account executive team. Find, analyze and evaluate new market growth opportunities and build outreach plans to seize new customer opportunities. Build and take ownership of the sales pipeline, generating outbound leads and develop new sales opportunities. Build and nurture relationships with clients, providing them with insights to Parloa's innovative conversational AI platform. Assess client challenges, align with their needs, and showcase how Parloa's platform can deliver value and a strong return on investment. Our BDR Tech-stack: LinkedIn Sales Navigator, Salesforce, Outreach, Vidyard, Seamless, Apollo, Zoominfo WHAT YOU BRING TO THE TABLE: A BA/BS from an accredited university 1-2 years of experience in a fast past pace sales environment, ideally in the SaaS industry Experience crafting outbound sequences, including personalized and relevant messaging Excellent written/verbal communication skills Not afraid to pick up the phone and call prospects Born to network - we’re building relationships within complex enterprise environments Highly organized and knows how to prioritize when working on multiple projects at the same time Coachable and always looking/willing to learn and grow Comfortable working in a fast-paced and dynamic environment A self-starter who is dedicated, hungry, and driven to succeed WHAT'S IN IT FOR YOU? Be part of a dynamic, driven team of +30 nationalities with flat hierarchies and collaborative company culture  Hybrid work environment -We have a flexible work environment which allows for both remote and onsite working days.  We love to build real connections and want to welcome everyone in the office while also giving the flexibility to work remotely during the week as well.   Attractive compensation package Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth Invitation to join us in Berlin for an immersive company sponsored onboarding experience, where you’ll have the chance to delve into the Parloa product and immerse yourself in our dynamic company culture. Your recruiting process at Parloa: Recruiter Call → Hiring Manager Call  → Challenge Task → Meeting the team → Founder Interview  Salary Range$80,000—$108,000 USD  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $140,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive. #LI-PRIOAbout the roleAs a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.What you'll be doing:Leading technical scoping and architectural decisions for high-impact ML systemsDesigning and building production-grade ML software, tools, and scalable infrastructureDefining and implementing best practices and standards for deploying machine learning at scale across the businessCollaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunitiesActing as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategiesMentoring and developing junior engineers, actively shaping our team's engineering culture and technical depthWho we're looking for:You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorchYou bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systemsYou have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructureYou've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completionYou communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholdersOur Interview ProcessTalent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office, London)If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help firms become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for meaningful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.#LI-PRIOAbout the roleJoin us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.What you'll be doingSetting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.Who we're looking forYou are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.You find novel, clever solutions for project delivery and take ownership for successful project outcomes.You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.Our Interview ProcessTalent Team Screen (30 minutes) Introduction to the role (45 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial & Leadership Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office, London)If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.

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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 As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 Fluency in German and English to expand our client base in multilingual markets 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. 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:€155.000—€205.000 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