Top Solutions Architect Jobs Openings in 2025

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About the TeamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As a Solutions Architect, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the RoleWe are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn this role, you will:Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.Contribute to our open-source developer and enterprise resources.Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.You’ll thrive in this role if you:Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.Are an effective and polished communicator who can translate business and technical topics to all audiences.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About 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 needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. 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. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact. What you will do Strategic Discovery & Vision Setting• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI Solution Design & Deployment• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.• Travel (~30-60%) to foster deep client relationships and support on-site deployment. About you • 2+ years in a client-facing strategic role (e.g., management consulting, value engineering, or technical sales).• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.• Executive presence and communication skills to influence senior stakeholders (VP, C-level).• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.• Hands-on experience prototyping proofs-of-concept (Python, JavaScript, or similar) to demonstrate value.• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus. Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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

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

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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 the teamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.This role is based in our NYC HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.Provide proactive guidance to maximize business impact and accelerate application development.Experiment and prototype alongside customers, demonstrating practical use cases.Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.Synthesize and deliver valuable feedback to the Product and Research teams.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

false

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.

false

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.

false

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.

false

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.

false

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.

false

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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Location 📍: San Francisco, United States (Hybrid - 3 Days In Office)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring a Pre‑Sales Solutions Engineer focused on pre‑sales (~80%) with light post‑sales handover (~20%). You’ll partner with Account Executives and Enterprise prospects to qualify use cases, lead discovery, design solution architectures, and win the technical decision.You’ll build high‑impact demos and POCs/POVs on our low‑code/no‑code platform (with code where it counts), validate integrations (APIs, auth), and define success criteria, timelines, and ROI.You’ll handle technical evaluations (RFIs/RFPs, security), package reusable assets, and ensure a crisp handoff to post‑sales with clear docs, reference designs, and LOE/SOW inputs.This role is part of our continuous growth. We practice always-on hiring as we scale the Solutions Engineering team, and we regularly add exceptional talent to join our expanding team.Your impact💥Lead technical discovery to map business goals, requirements, constraints, and success criteria.Design solution architectures and reference patterns; produce clear diagrams and option trade‑offs.Build and run high‑impact POCs/POVs: scope, success metrics, timelines, and stakeholder alignment.Deliver tailored demos that showcase value, ROI/TCO, and operational impact; handle objections and competitive differentiation.Validate integration feasibility with customer systems via APIs (REST/GraphQL), webhooks, and auth (OAuth2/SAML/JWT); create sample requests and snippets.Prototype agent workflows, prompts, tools, and light RAG; set evaluation and guardrails for quality.Respond to RFIs/RFPs and security reviews (data residency, SOC 2, SSO, network options) with crisp, accurate answers.Estimate implementation effort and contribute to SOWs/LOEs; ensure a clean handover to post‑sales.Capture customer feedback and influence product roadmap; package reusable demo assets and patterns.Partner with Account Executives for deal strategy, multithreading, and forecast accuracy.What We’re Looking For 🧠3+ years in Pre‑Sales/ Solutions Engineering for SaaS or platforms (Enterprise focus preferred).Strong customer communication and storytelling; confident presenting to executives and engineers.Technical fluency: APIs (REST/GraphQL), auth (OAuth2/SAML), Postman/Insomnia, OpenAPI/Swagger; hands‑on with Python for prototypes and integrations.Familiarity with GenAI/LLMs: prompt design, basic RAG, embeddings, vector DBs, and major model providers (OpenAI, Anthropic, Azure/Vertex).Experience building demo environments and POCs on low‑code/AI platforms; ability to translate business needs into practical solutions.Working knowledge of cloud basics (AWS/GCP/Azure), data privacy/security considerations, and responding to RFPs/security questionnaires.Bonus: solution diagramming (Lucid/Mermaid), MEDDICC/solution selling exposure, and creating reusable demo kits.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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About the teamThe Solutions Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, partnering directly with founders and technical teams to design, build, and scale new AI products on OpenAI. About the RoleWe are seeking a technically proficient, product‑minded Solutions Engineer to help push the frontier of advanced AI with our startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Architecture, Applied Research, and Product teams, and you will report to the Startups Solutions Engineering Lead.This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with startups as their technical thought partner to build novel applications on our API, helping them move rapidly from initial concept to production at scale.Create and deliver repeatable guidance for the broader startup ecosystem by publishing best practices, sample apps, deployment patterns, and technical playbooks, and by leading workshops, office hours, hackathons, and founder roundtables.Collaborate with Product and Research to ensure our models and platform continue to deliver frontier-level performance on real startup workloads.Synthesize high-fidelity product and model feedback from a broad portfolio of startups and translate it into clear, prioritized requirements that shape our roadmap.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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CSQ426R239 We have 2 open positions based in our Germany offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification 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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FECSQ426R273 This role can be based in either Berlin, Munich or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed 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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FECSQ426R273 This role can be based in either Berlin, Munich or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed 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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(FEQ127R44) At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes AI, data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers turn their complex data challenges into breakthrough business innovations. You will serve as the trusted technical advisor for your customers. You will work directly with technical and business leaders on their AI and Data strategy and its execution, utilising your skills to demonstrate the value of Databricks as a platform. You'll work with a cross-regional, collaborative, and customer-focused team in partnership with our various internal departments, wider teams, and partners. You will report to the France Emerging Field Engineering Leader. The location for this position is Paris, France. Join us in our quest to change how people work with AI & data and make a better world! The impact you will: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will act as a champion and trusted advisor on multiple architectures, designs, and implementations and lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your expertise to the level of a technical and industry expert.   What we look for: You ideally have 5+ years of experience working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. You are experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. You are proficient with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s). Good to have: Cloud certification from AWS, Microsoft or GCP or relevant experience Databricks experience/ certifications are a bonus Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. Flexible to travel for customer meetings and internal events/trainings (up to 20-30%). Fluent in French.   #LI-hybridAbout 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 POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEThe Solutions Architect (Public Sector) role at Poolside is a uniquely hands-on position that blends deep technical execution with high-impact customer engagement.As a Poolside SA, you’ll take end-to-end ownership of how our AI platform is deployed into large enterprise and government environments. You’ll work directly with customers to design, deploy, and support highly secure and performant infrastructure—often tailoring Terraform and Kubernetes configurations to fit mission-specific requirements.Beyond implementation, you’ll also help evolve how Poolside is deployed across air-gapped, hybrid, and cloud environments—shaping our deployment architecture as we scale into new markets.This is not a pre-sales demo role. It’s a hybrid between solution design, DevOps, and deployment engineering—ideal for someone who enjoys building, automating, and troubleshooting real systems in production.YOUR MISSIONEnsure every Poolside customer achieves a fast, reliable, and secure deployment—whether in AWS, private cloud, or fully air-gapped environments—while continuously improving our deployment tooling and processes.RESPONSIBILITIESArchitect & Deploy: Design and customize Poolside deployments across Kubernetes and Terraform-based environments (cloud, hybrid, on-prem).Troubleshoot & Optimize: Diagnose complex infrastructure and networking issues across clusters, storage, and CI/CD pipelines.Automate & Improve: Build automation workflows using Ansible, GitHub Actions, or ArgoCD to streamline provisioning, upgrades, and monitoring.Collaborate & Guide: Work directly with customer DevOps and security teams to ensure compliance, reliability, and observability.Evolve the Platform: Contribute to Poolside’s core deployment framework—improving standardization, resilience, and operator experience.Document & Share: Maintain clear runbooks, deployment guides, and internal documentation for repeatable success.SKILLS & EXPERIENCEStrong hands-on experience with Kubernetes (Helm, operators, manifests, troubleshooting pods, services, ingress, etc.)Proficiency in Terraform for infrastructure provisioning (AWS preferred; Azure or GCP also valuable)Deep understanding of networking, load balancing, DNS, and certificatesComfort with Linux, Docker, Git, and modern DevOps workflowsFamiliarity with monitoring & observability stacks (Grafana, Prometheus, Datadog, etc.)Experience with automation tools such as Ansible, ArgoCD, or GitHub ActionsStrong debugging and process-of-elimination troubleshooting skillsExcellent written and verbal communication—able to bridge engineering detail and customer contextActive TS/SCI Clearance preferredNICE TO HAVEExperience deploying or securing AI/ML systems in productionFamiliarity with RKE2, air-gapped environments, and STIG-hardened operating systemsProgramming knowledge in Python, Go, or BashBackground in government, defense, or regulated industriesWHY THIS ROLE IS DIFFERENTPoolside SAs aren’t just supporting customers—they’re shaping how our platform is delivered to the world’s most demanding environments. You’ll operate at the intersection of infrastructure engineering, product development, and customer impact, helping define what enterprise-grade AI deployment looks like.PROCESSIntro call with José, our Head of Production EngineeringTeam-fit call with Beatriz, our Head of PeopleTechnical Interview(s) with a panel composed by José and other Founding EngineersCustomer discussion with one of our Sales representativesFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture