Find AI Work That Works for You

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The Role As a Compliance Engineer, you will be building and operationalizing our compliance program and overseeing the day-to-day implementation of controls, helping us pass audits, and scaling our governance processes in a fast-paced SaaS environment. You’ll own the systems, tools, and automation workflows that allow us to meet and maintain standards like SOC 2 and ISO 27001, without slowing down the business. Key skills: Experience with implementing one or more security automation platforms (e.g. Thoropass, Vanta, Drata, Secureframe) Experience with automating SOC 2 compliance Experience with interacting with corporate customers in a business-to-business setting Excellent communication and collaboration skills. Experience interacting with auditors   What you will do Design and manage GRC tools, evidence collection workflows, and vendor risk processes Support responses to customer security assessments and RFPs Collaborate with cross-functional teams to align security with product, legal, and customer trust requirements Track, measure, and report on control effectiveness and risk posture Lead and manage audits, internal readiness assessments, and third-party risk processes Automate and operationalize the compliance roadmap (e.g., SOC 2, ISO 27001) For new compliance standards identify gaps and help drive   What you bring to the table 8+ years in compliance roles A systems-thinking mindset and a drive to eliminate manual, repetitive compliance tasks. Experience building compliance programs that scale with speed and minimal overhead. Proven experience implementing or supporting compliance frameworks such as SOC 2 or ISO 27001 Hands-on experience with GRC platforms and automating compliance workflows. Excellent communication and documentation skills. Nice to Have Skills Experience deploying and scaling GRC tooling in early-stage environments Familiarity with customer trust programs and security questionnaire automation Experience with AI compliance and governance   Salary range estimated at $85,000 to $125,000  We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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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.

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.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

true

Transform language models into real-world, high-impact product experiences.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.Why This Role MattersYou are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.What You’ll DoBuild end-to-end training pipelines: data → training → eval → inferenceDesign new model architectures or adapt open-source frontier modelsFine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeedBuild data systems for high-quality synthetic and real-world training dataDevelop alignment, safety, and guardrail strategiesDesign evaluation frameworks across performance, robustness, safety, and biasOwn deployment: GPU optimization, latency reduction, scaling policiesShape early product direction, experiment with new use cases, and build AI-powered experiences from zeroExplore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal modelsWhat It’s Like to Work HereYou take ownership - you solve problems end-to-end rather than wait for perfect instructionsYou learn through action - prototype → test → iterate → shipYou’re calm in ambiguity - zero-to-one building energises youYou bias toward speed with discipline - V1 now > perfect laterYou see failures and feedback as essential to growthYou work with humility, curiosity, and a founder’s mindsetYou lift the bar for yourself and your teammates every dayRequirementsStrong background in deep learning and transformer architecturesHands-on experience training or fine-tuning large models (LLMs or vision models)Proficiency with PyTorch, JAX, or TensorFlowExperience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)Strong software engineering skills — writing robust, production-grade systemsExperience with GPU optimization: memory efficiency, quantization, mixed precisionComfortable owning ambiguous, zero-to-one technical problems end-to-endNice to HaveExperience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer)Contributions to open-source ML librariesBackground in scientific computing, compilers, or GPU kernelsExperience with RLHF pipelines (PPO, DPO, ORPO)Experience training or deploying multimodal or diffusion modelsExperience in large-scale data processing (Apache Arrow, Spark, Ray)Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)What You’ll GetExtreme ownership and autonomy from day one - you define and build key model systems.Founding-level influence over technical direction, model architecture, and product strategy.Remote-first flexibilityHigh-impact scope—your work becomes core infrastructure of a global consumer AI product.Competitive compensation and performance-based bonusesBacking of a profitable US$2B group, with the speed of a startupInsurance coverage, flexible time off, and global travel insuranceOpportunity to shape a new global AI product from zeroA small, senior, high-performance team where you collaborate directly with founders and influence every major decision.Our Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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About MaincodeMaincode is an applied AI lab. We turn research into practical tools: interfaces that support decision-making, surface insights, and communicate complex ideas with clarity. We believe AI’s next step forward isn’t scale, it’s design. Our work connects research and interface, helping people understand, navigate, and collaborate with intelligent systems.You’ll join the Design Engineering Group (DEG), a small, embedded team that works across brand, product, and early prototypes. We care about craft, clarity, and steady momentum. The RoleWe’re hiring a Frontend Engineer focused on design systems to help build demo-ready interfaces, support early AI prototypes, and evolve our internal UI libraries and tools. The role blends engineering with design sensibilities.You’ll partner with our Design Engineering Lead and collaborate closely with research and product teams. Some days you’ll refine a branded microsite, other days you’ll prototype a new interaction for an Ollama-powered tool. The work requires balancing polish with pragmatism: knowing when to increase fidelity and when to keep things simple. What You’ll Work OnCore WorkBuild and maintain high-quality layouts and components across Maincode and partner surfacesExtend our design system with new UI primitives, motions, and reusable patternsImplement polished, demo-ready interfaces including states, flows, and interaction detailsManage staging, QA, and feedback cycles for production-adjacent projectsExploratory WorkPrototype interfaces for emerging AI interaction models, such as Ollama or Docker-based toolsUse AI-assisted coding environments (Cursor, Claude Code, V0) to accelerate prototypingBalance speed and quality, testing ideas quickly while keeping code clean and maintainableTranslate experimental prototypes into practical microsite features or internal tools What We’re Looking For1–3 years experience (or equivalent internships or projects) in design engineering or hybrid frontend rolesStrong visual instincts supported by systems thinkingEvidence of delivering polished, demo-quality UI/UX with attention to states, flow, typography, and usabilityComfort with Figma and modern frontend frameworks like React, Tailwind, and shadcn/uiFamiliarity with containerised environments (Docker) and API integrationsInterest in interaction design for AI systems and willingness to work with inference backends like OllamaClear communicator able to explain decisions, document trade-offs, and iterate with others Tools & PracticesYou’ll work across:AI-assisted coding tools (Cursor, Claude Code, V0)Figma for design and system explorationFrontend libraries like shadcn/ui and TailwindMotion.dev /equiv. for animation and system motionGitHub, Docker, Notion, and lightweight documentation for collaboration What Growth Looks LikeWithin 6–12 months, you will:Expand our design system with new components and patternsDeliver demo-ready AI prototypes with the research teamContribute to design direction through interface craft and engineering choicesBuild increasing independence in balancing speed, polish, and technical decisions What to IncludeWe’re interested in your thinking, not only your outcomes:1–3 projects that illustrate your design-engineering process, including exploration and executionA short Loom (optional, up to 5 minutes) walking through a projectAny examples of demo-quality UI/UX you’ve shipped Why This Role MattersInterface is how Maincode’s ideas are experienced. Your work ensures our research is expressed with clarity and precision, whether through a microsite, a system component, or an AI-powered prototype.Hiring ProcessWe move intentionally and communicate clearly at every step:Portfolio Review – We evaluate taste, process, and clarityIntro Chat – Casual conversation about fit and interestTake-Home Task – A focused, open-ended design–dev challenge (dockerised Ollama prototype + polished UI/UX)Final Chat – With our Design Engineering Lead and Maincode Founder

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Tl;dr: We’re looking for a full-stack engineer obsessed with Lovable’s growth engine — turning first touches into daily habits, and daily habits into a thriving ecosystem and real revenue. One sprint you’re shipping onboarding and activation flows; the next you’re crafting distribution rails and monetization features that help builders reach more users and keep them around. You think in React and APIs, but your first instinct is always: does this make users more successful, more often?Coding skills + excellent taste + growth instincts + product obsession = you.Why Lovable?Lovable lets anyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, solve complex problems, and bring their dreams to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value high ownership, high velocity and low-ego collaboration. We seek people who care deeply, challenge us, and are driven to build something of lasting impact.What we’re looking for5+ years of experience building and growing user-facing products in high-performing teams, ideally including growth work, marketplaces/platforms, or communities.Strong product sense and UX taste for multi-sided systems with creators, learners, and customers - you can see problems from multiple sides and design for all of them.Comfortable using data, funnels, analytics, attribution, and A/B testing to shape what you build and how you iterate.Skilled at designing, measuring, and iterating experiments, and thorough in setting up growth systems “right” from the start.Experience collaborating across functions (design, marketing, partnerships, support, data) to launch and grow new product surfaces and ecosystems.Enjoys designing reusable growth, ecosystem, and monetization tools that other builders can plug into, with a pragmatic and detail-oriented mindset.Motivated by helping others succeed and by seeing impact through engagement, measurable results, and revenue - you care about the scoreboard as much as the code.What you’ll doIn one sentence: You will build the growth, ecosystem, and monetization systems that make Lovable - and the apps built on it - sticky, discoverable, and revenue-generating.Ship and iterate onboarding, activation, and reactivation experiences that create fast, repeatable value and turn first-time users into long-term fans.Build distribution rails for user apps: SEO and performance, shareable moments, social previews, email and lifecycle journeys, and other growth hooks.Ship marketplace and ecosystem features for publishing, discovering, and reusing apps, templates, components, and services - plus profiles, reviews, and matching between builders and customers.Design and implement monetization and pricing flows: payments, subscriptions, access control, plans, paywalls, billing integration, and revenue-share models that work for creators, customers, and Lovable.Build the analytics and experimentation foundations - events, funnels, attribution, and A/B tests - so the team can understand what works and double down on it.Collaborate closely with design, marketing, partnerships, and support to launch and grow new surfaces across the product and ecosystem.Keep the experience relentlessly Lovable while making growth the engine, not the afterthought.Our tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Many LLM providersDevOps & Tooling: Github Actions, Grafana, OTEL, infra-as-code (Terraform)And always on the lookout for what's next!How applying worksFill in a short form then jump on an initial exploratory call.Join us for a round of technical interviewsTeam intro calls with the teamAbout your applicationPlease submit your application in English - it’s our company language. We treat all candidates equally, so please apply through our careers portal.Apply by clicking the link below.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is building the world’s best AI pilots for aircraft—and we’re looking for a Product Manager to lead the strategy, execution, and roadmap for our core autonomous systems and platforms.  In this high-impact role, you’ll work across engineering, design, ops, BD, and leadership to deliver mission-critical products that drive real-world results. You’ll bring clarity, speed, and alignment to complex programs—balancing near-term delivery with long-term innovation.  We want a product leader who thinks big, executes fast, and thrives in high-stakes environments. If you’re driven by impact and ready to help shape the future of autonomous defense, we’d love to meet you.  At Shield AI, you won’t just lead products. You’ll help define the next era of autonomy. What you'll do:Product Strategy and Vision: Define and communicate a compelling product vision aligned with Shield AI’s mission and long-term growth objectives. Translate strategic goals into executable product roadmaps that guide cross-functional development and investment decisions.  Roadmap Development and Execution: Own the end-to-end product lifecycle; from concept and requirements definition through delivery and sustainment. Prioritize features and capabilities based on customer needs, operational impact, technical feasibility, and business goals. Ensure timely delivery of high-quality, mission-critical capabilities.  Cross-Functional Leadership: Partner closely with Engineering, Solutions Architecture, Program Management, and Business Development to ensure product priorities are aligned, well-scoped, and executable. Build trusted relationships across teams to drive focus, decision-making, and accountability.  Customer and Market Engagement: Serve as the voice of the customer within the organization. Gather direct feedback from field users, military operators, and international partners to inform product decisions. Represent Shield AI in customer discussions, demos, and briefings as a senior product expert.  Team Leadership and Development: Lead and grow a team of high-performing product managers. Foster a culture of ownership, agility, technical curiosity, and continuous improvement. Mentor team members in strategic thinking, product execution, and customer-centric innovation.  Data-Driven Decision Making: Establish key product performance metrics and use data to drive prioritization, product performance assessments, and iteration. Identify opportunities for continuous improvement through qualitative and quantitative feedback loops.  Required qualifications:Bachelor’s degree in Engineering, Computer Science, or a related field.  12+ years of experience in product management, including 5+ years in a senior leadership role.  Proven success in leading hardware/software product lines through multiple lifecycle stages, from concept to fielded capability.  Deep experience in autonomy, robotics, aerospace/defense, or other mission-critical technologies.  Strong strategic thinking and business acumen with the ability to influence senior stakeholders.  Exceptional written and verbal communication skills; able to convey complex ideas to technical and non-technical audiences.  Self-starter with a track record of operating effectively in ambiguity and aligning diverse stakeholders toward a common goal.  Preferred qualifications:UK security clearanceAutonomy, perception background 128,000 - 192,000 a year#LI-LD2#LF Our international team members are employed through our Employer of Record (EOR) and receive a comprehensive international benefits package on top of base salary. For full details on compensation and benefits, please consult your talent acquisition partner.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Security Assurance Manager is responsible for developing, implementing, and managing enterprise and product-level security assurance programs to meet compliance, certification, and customer trust objectives. This role ensures our organization maintains compliance with CMMC, ISO 27001, and future security certifications while providing comprehensive ISSM support across systems and environments. The ideal candidate will work cross-functionally with engineering, IT, compliance, and customer teams to verify that our products and operations meet the highest standards of security, resilience, and regulatory alignment. What you'll do:Lead and maintain compliance with CMMC, ISO 27001, and future security certifications.Provide compliance support across enterprise environments, product areas, and customer engagements, ensuring adherence to industry and regulatory standards.Oversee and coordinate third-party security validations and testing to verify and strengthen our security posture.Collaborate with cross-functional teams to develop, document, and improve security controls and processes.Deliver clear reporting and communication to stakeholders on compliance status, audit readiness, and risk mitigation activities.Required qualifications: Demonstrated experience managing and developing teams to achieve organizational security and compliance objectives.Excellent communication skills, with the ability to effectively collaborate with executives, customers, and auditors.Proven ability to manage compliance programs and influence cross-functional groups to meet security requirements.Experience leading CMMC or FedRAMP certifications.Previous ISSM experience with strong knowledge of RMF, NIST 800-53, and related frameworks.Bachelor’s degree or equivalent experience.U.S. CitizenPreferred qualifications: Experience leading commercial certifications such as ISO 27001.Active security clearance or ability to obtain one.Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Join Shield AI’s fast-paced manufacturing team and play a hands-on role in building the next generation of advanced autonomous aircraft through an immersive and impactful co-op experience. This role supports the development of manufacturing tooling and production layouts by translating product GD&T and key characteristics into practical fixture and tool requirements. The role includes creating CAD designs for jigs, fixtures, gauges, and handling equipment, performing basic FEA or hand calculations, and contributing to complete Tool Design Packages with models, drawings, and BOMs. Co-ops will collaborate with Manufacturing, Quality, Safety, and launch teams to participate in design reviews, support fabrication and shop-floor prove-outs, and assist with documentation such as setup guides and maintenance plans. Additional responsibilities include helping with First Article verification, developing 2D layouts and 3D/VR walk-throughs, supporting line-balance and flow analyses, exploring material-presentation and packaging strategies, and contributing to installation activities through tape-outs, rack placement, and time-study validation.Project Goals & Deliverables:Tooling and Layout Optimization for Production LaunchTranslate part GD&T and key characteristics into robust fixture and tooling designs.Develop tooling and layout documentation that ensures ergonomic, efficient, and high-quality production processes.Validate designs through FEA, design reviews, and shop floor trials.Author a “Layout & Flow Playbook” for installation and launch readiness.Tool Design Packages (3D CAD models, 2D drawings with GD&T, BOM, and torque/material specs)Tool Setup & Care Instructions and Preventive Maintenance PlanLayout & Flow Playbook including:-2D layouts and 3D/VR walkthroughs-Flow simulations and line-balance analysis-Kanban and buffer sizing calculations-Rack/tugger/supermarket specificationsFirst Article Tooling Validation Report (fit checks, CMM data, operator feedback)Required qualifications:CATIA/NX/SolidWorks, PLM (3DEXPERIENCE/Teamcenter), FEA Analysis, AutoCAD/Visio+Plant Simulation/FlexSim/AnyLogic or spreadsheet modeling, time‑study, 5S/visual standards+MES/QMS, torque analyzer, Minitab/Excel, 5S and audit experienceKPIs & Milestones:Tooling concept review complete: ≥2 concept designs reviewed and approved3D CAD models & GD&T drawings complete: 100% model/drawing package ready for fabricationFEA & hand-calc validation complete: All critical tools meet stiffness/safety factor targetsTool prove-out & shop validation: ≤2 minor adjustments required post-trialNew Layout simulation & flow validation: Throughput within ±10% of targetFinal Playbook & documentation handoff:  100% deliverables submitted and approved 34 - 52Rising Bachelor's graduate = $34/hourRising Master's graduate = $41/hourRising PhD graduate = $52/hour Housing stipend provided, amount based on location#LI-JM1#intern Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.