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false

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

false

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

false

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

false

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

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleAI-generated content is becoming a dominant format across social, creator, and product marketing. Models are evolving at high speed, new modalities unlock new creative possibilities, and audiences now expect a level of quality that traditional production can’t keep up with.We’re currently producing content that reaches millions of people every month, but we’re in a fast-growing market, and we’ve only begun to show what ElevenLabs’ creative tools can do.We’re hiring an AI Creative Producer to join our Creator Growth team to help scale our content production.You’ll help define what great AI-generated content looks like — from cinematic visuals and short films to social assets that inspire millions of creators. Your mission is to prototype workflows, test models, and push the creative boundaries of ElevenLabs’ AI tools.You’ll work closely with our social and growth teams to produce content that drives awareness, teaches creators what’s possible, and showcases the future of AI-powered storytelling.RequirementsWe’re looking for a uniquely creative and technically fluent individual who thrives at the intersection of storytelling and generative media.You’ll thrive in this role if you:Have deep experience prompting for image, video, and audio models — with a strong portfolio of examples.Have a sharp design eye and can distinguish between good and great creative.Understand how to craft stories and communicate visually.Know how discovery works across YouTube, Instagram, and X.Move fast and independently, with strong creative instincts.Have experience collaborating with visual or social media teams.Experience editing in Premiere Pro or similar tools.What you’ll doCreate world-class AI-generated visuals and videos using ElevenLabs.Create large numbers of examples for our explore pageWrite, refine, and document prompts for cinematic, realistic, and stylized outputs.Build prompt guides and workflows to help others replicate and learn from your results.Collaborate with the social team to educate users and inspire the community.Develop repeatable AI content workflows and help package them for public use.Produce growth-driven, social-first assets such as teasers, comparisons, and educational clips.Stress-test ElevenLabs tools and contribute structured feedback to the product team.LocationThis role is remote and can be executed from anywhere in Europe. If you prefer, you can work from our offices in Bangalore, Dublin, London, and Warsaw.

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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:We’re seeking a Staff Integration & Test Engineer to lead advanced integration and test activities for Shield AI’s Hivemind autonomy systems in Frisco, TX. You’ll define and execute test strategies that span Hivemind Software integration, simulation, hardware-in-the-loop, vehicle-in-the-loop, and live flight operation, ensuring robust system performance and reliability in real-world mission environments.  As a senior technical leader, you’ll architect test infrastructure, collaborate with cross-functional teams, mentor teammates and drive continuous improvement in validation methodologies and test automation. This role is deeply hands-on and highly collaborative, working across software, hardware, systems, and flight test disciplines to ensure seamless integration of Hivemind autonomy on platforms such as VBAT.  Shield AI is scaling and growing rapidly, the ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to grow alongside a company that is changing the world, building something insanely great with a mission-driven culture, a sense of urgency, and an unwavering commitment to protecting those who serve. What you'll do:Lead system-level integration, test planning, and validation for advanced autonomous aircraft systemsDefine and implement test architectures, methodologies, and strategies across simulation, HIL, VIL, and flight environments. Own and manage comprehensive test plans, defining objectives, success criteria, procedures, and resource needs. Architect and evolve test infrastructure and automation frameworks that enable scalable and repeatable validation. Define Hivemind Software test release processes and quality release gates. Collaborate closely with software, hardware, and systems engineering teams to ensure robust integration and system readiness. Conduct hands-on debugging and validation of autonomy, avionics, and control systems. Lead flight test preparation, system configuration, and real-time troubleshooting during live events.Develop tools and utilities in Python (and optionally C++) to support automation, data analysis, and telemetry validation.Establish test documentation standards, ensuring traceability, repeatability, and knowledge sharing across teams. Mentor and provide technical direction to junior and senior engineers, fostering a culture of technical rigor and continuous improvement. Partner with program and mission teams to communicate test readiness, progress, and system performance effectively.Required qualification:Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Aerospace Engineering, or related technical discipline.8+ years of experience in system integration, test planning, and validation of complex systems—ideally within robotics, aerospace, or autonomy.Proven expertise in test planning, including test plan creation, test case design, and validation tracking and software quality release processes.Deep understanding of test infrastructure, automation, and validation methodologies.Strong proficiency in Python for scripting, automation, and analysis; working knowledge of C++ preferred.Experience architecting and maintaining Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), or similar real-time test systems.Proven ability to troubleshoot complex, multidisciplinary systems involving software, hardware, and controls.Demonstrated success leading technical projects, mentoring engineers, and defining test strategies for multi-system programs.Excellent communication and cross-functional collaboration skills.Adaptability, growth mindset, and willingness to learn new technologies quickly in a scaling, fast-paced environment.Self-starter with strong sense of urgency, initiative, and comfort operating in ambiguity.U.S. Citizenship and ability to obtain and maintain a SECRET clearance.Preferred qualifications:Experience testing or integrating autonomous air, ground or sea vehicles.Background in defense, aerospace, or mission-critical robotics systems.Experience developing test infrastructure and automation frameworks at organizational scale.Familiarity with simulation and modeling tools for system-level validation.Knowledge of configuration management, verification processes, and data analytics for test reporting.Experience supporting flight test operations, including safety, instrumentation, and post-flight analysis. 140,000 - 210,000 a year#LI-LD1#LD 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. This role is for a seasoned C++ generalist and systems integrator who thrives at the intersection of software, infrastructure, and integration. You’ll lead complex technical efforts across distributed systems and simulation environments, with minimal oversight. Your work will shape foundational capabilities that power autonomy, simulation, and real-time system interfaces across multiple platforms. What You'll Do: Architect and implement high-performance C++ and Python systems across cross-platform environments.Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software.Define and enforce technical direction, design patterns, and integration practices across projects.Guide teams in building robust messaging and API layers (e.g., gRPC, REST, ZeroMQ) that bridge critical system components.Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake.Lead debugging and optimization of real-time and multi-threaded systems across a range of domains.Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems.Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements.Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency.Required Qualifications: Typically requires a minimum of 7 years of related experience with aBachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases.Proficiency in Linux/Unix environments, including system-level development and debugging tools.Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces.Significant experience with CI/CD systems, containerization (e.g., Docker), and build tooling (e.g., CMake, Conan).Proficiency in Python and familiarity with other scripting and automation tools.Deep knowledge of Linux environments (Windows experience is a bonus).Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship.Strong understanding of networking concepts and communication protocols.Active SECRET clearance.Preferred Qualifications: Real-time or distributed simulation experience (e.g., AFSIM, NGTS, or similar).Familiarity with message-passing infrastructure and web-service technologies like gRPC, REST APIs, and message queues.Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems.Experience integrating simulation with autonomy frameworks or real-time operators.Experience developing and integrating with modeling or analysis pipelines.Ability to obtain a TS/SCI clearance. 150,711 - 226,067 a year#LI-LD1#LD 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:Shield AI is seeking an Staff Systems Engineer, Cyber to lead the design and implementation of secure-by-design architectures across our autonomy software stack, developer tools, mission systems, and cloud-deployed infrastructure. You will work cross-functionally with engineering, product, infrastructure, and compliance teams to ensure that our autonomy platforms are robust against cyber threats, meet evolving security and assurance requirements, and are prepared for field deployment in adversarial environments. This is a technical and hands-on role focused on embedding security principles into software development lifecycles, designing resilient system architectures, and guiding the secure evolution of the Hivemind autonomy ecosystem and related platforms.Key Responsibilities:Define and evolve the security architecture across embedded, edge, and cloud components of Shield AI’s autonomy stackDrive adoption of secure software development practices, including threat modeling, secure code review standards, and automated static/dynamic analysis toolingLead the design of cryptographic protocols, identity and access management systems, secure communication layers, and key management infrastructureConduct architecture risk assessments and influence design decisions to minimize attack surfaces and improve defense-in-depthCollaborate with infrastructure, autonomy, and mission software teams to define policies for software update security, telemetry handling, and secure provisioningPartner with compliance and certification teams to align systems with NIST, FedRAMP, and/or DoD cybersecurity frameworksServe as a technical point of contact for external security assessments, penetration testing, and red team exercisesKey Outcomes:System-wide Security Architecture: well-defined, modular security architecture adopted across autonomy, developer tools, and fielded systemsIntegrated Secure SDLC Practices: security design and validation embedded into the software development lifecycle and CI/CD pipelinesResilient Identity & Access Control: robust IAM, authentication, and secure communication protocols implemented across cloud, edge, and vehicle systemsAttack Surface Reduction: system-level threat models maintained; critical vulnerabilities proactively mitigatedDeployment Readiness: platforms hardened for operational use in contested and adversarial environments; Hivemind software products deployed into secure environments (e.g. FedRAMP, IL3/IL5/etc)Cross-Team Security Alignment: security requirements clearly communicated and tracked across product and engineering teamsRequired qualifications:7+ years in cybersecurity engineering or architectureSome knowledge of modern cryptography, secure systems design, and authentication protocolsExperience designing secure architectures for distributed, embedded, or autonomy-related systemsFamiliarity with CI/CD pipelines, static analysis, container security, and SBOM practicesProven ability to assist with security initiatives across software and infrastructure teamsExperience with risk assessment methodologies and adversarial modelingPreferred qualifications:Proficient programming and review skills in C++, Python, Go, and TypescriptExperience in defense, aerospace, or critical infrastructure environmentsKnowledge of security certification processes (e.g., RMF, FedRAMP, NIST 800-53, DoD STIGs)Familiarity with secure boot, TPMs, hardware root of trust, and embedded device hardeningHands-on experience with secure telemetry, remote attestation, and anti-tamper designBackground in red teaming, incident response, or forensic readinessActive security certifications such as CISSP, GSE, OSCP, or equivalent 150,711 - 2,256,067 a year#LI-LD1#LF 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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About Greenlite AIGreenlite AI builds AI-powered compliance automation for financial institutions. We transform manual risk assessment processes into intelligent, scalable workflows that help our customers make faster, more accurate decisions about onboarding, due diligence, and ongoing monitoring.The RoleWe're hiring Product Engineers who excel at turning complex customer problems into elegant technical solutions. You'll own substantial features from conception to production, working directly with customers to understand their needs, designing scalable architectures, and shipping code that measurably improves compliance operations.This role combines deep technical work with high customer impact. You'll build systems that process thousands of cases, save compliance teams significant time, and directly contribute to company revenue.What You’ll BuildCustomer-Facing ProductsDevelop intuitive interfaces for case management, reporting, and analyticsBuild document analysis and verification systemsBuild agentic workflows that coordinate AI tools and data services to perform research, enrichment, and verification, while keeping humans in the loop for review.Create tools that help customers configure and customize their compliance workflowsResponsibilities by Experience LevelEngineerIndependently deliver medium-to-large features with minimal guidanceWrite clean, well-tested code and participate in code reviewsCollaborate with product and design to scope and refine solutionsDebug production issues and contribute to system reliabilityGrow your technical skills and product intuitionSenior EngineerLead technical design for complex, cross-cutting projectsMake architectural decisions that balance customer needs, technical quality, and delivery speedIdentify systemic issues and drive improvements to platform foundationsMentor engineers and elevate team engineering practicesShape product direction through technical insightsStaff / Principal EngineerDefine technical strategy for major platform initiativesDesign systems that scale across products, customers, and geographiesLead cross-functional efforts requiring deep collaborationEstablish engineering patterns that improve team velocity and qualityNavigate ambiguity and make high-stakes technical tradeoffsWhat We’re Looking ForMust-Haves:4+ yrs (Engineer) / 6+ yrs (Sr. Engineer) / 8+ yrs (Staff Engineer) building production softwareStrong full-stack capabilities—backend services, APIs, databases, and (nice-to-have) frontend developmentTrack record of shipping customer-facing products where reliability mattersEnd-to-end ownership mindset: from requirements through deployment and iterationClear communication—you can explain technical decisions to diverse audiencesProduct thinking—you understand why you're building something, not just how.Valued Experience:Building workflow engines, orchestration systems, or process automation toolsWorking in regulated industries where compliance, auditability, and data integrity are criticalIntegrating AI/LLM capabilities into production applicationsCreating configuration systems, admin tools, or workflow builders for non-technical usersDesigning systems for multi-tenancy, versioning, or complex authorization modelsStrong foundation in data modeling and distributed systemsTechnical Skills:We work with modern web technologies—TypeScript, Python, Node.js, React, cloud infrastructure, and workflow orchestration frameworks. You don't need to know our exact stack, but you should be comfortable learning new technologies quickly.Why You’ll Love Working HereMeaningful work: Solve hard problems that help financial institutions fight fraud and manage riskTechnical complexity: Build AI agents, workflow engines, data pipelines, and sophisticated UIsCustomer connection: Work directly with users, see your impact, iterate based on real feedbackTrue ownership: Ship features that matter, influence product direction, own outcomesHigh growth: Join during a phase where your contributions shape the company's futureAbout youYou're motivated by joining a startup at our stage because you want to build something fast and have direct impact—not because you need extensive structure. You're energized by combining technical work with customer interaction. You love solving open-ended problems, asking good questions, and structuring solutions without needing perfect specifications upfront.You make pragmatic decisions with incomplete information and proactively pull in the right people to overcome blockers. You're adaptable when priorities shift and have a growth mindset. You understand the broader system you're working in—not just what the AI does, but how it fits into the customer's full workflow.Compensation & Benefits$160k–$280K base salary + meaningful equityComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We cover DoorDash and Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism and human trafficking.

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.About ReplitReplit is pioneering the future of software creation, bringing powerful AI development to everyone, from first-time builders to enterprises. Our mission is to empower the next billion software creators by collapsing the distance between idea and shipped software. Replit Agent is one of the fastest-growing AI products (10 → 250m ARR in 10 months), and we’re just getting started.About the RoleWe're looking for an Engineer focused on acquisition and demand generation. You'll own server-side, multi-channel engineering and the API integrations that power our marketing programs—from email nurture to organic and paid acquisition to affiliate loops. Working closely with Marketing, you'll architect feedback systems that let campaigns self-optimize, ship instrumentation that drives insights, and run experiments that measurably improve how we attract and convert new users.What You'll DoBuild the plumbing for autonomous marketing programs: Design and maintain server-side frameworks, event pipelines, and API integrations across email (Iterable), paid platforms (Google Ads, LinkedIn), affiliate networks, and analytics warehouses (BigQuery).Own integrated infrastructure: Instrument data events across acquisition funnels, landing pages, email sequences, and in-product activation flows; ensure statistical rigor, proper attribution, and clean holdout groups.Ship growth systems that close feedback loops: Build targeting/segmentation logic, dynamic offer engines, real-time performance dashboards, and automated campaign optimization rules that react to conversion data.Collaborate cross-functionally: Partner with Marketing, Product, Data, and Sales to translate business strategies into technical specs, campaign architectures, and measurable experiments that drive incremental revenue and customer acquisition.What You’ll Bring2-4+ years building and shipping user-facing products with measurable growth impact; you’ve meaningfully moved acquisition or revenue metrics at scale.Full-stack TypeScript experience across React, APIs and backend.Strong product sense + analytical rigor: you write SQL, define success metrics, and know when to pivot or double-down.Experience with experimentation platforms (homegrown or vendor), event schemas, and cohort/segmentation analysis.Bias to action: you prototype quickly, validate with users, and ship.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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📐 About this roleShape how the world’s most sophisticated enterprises succeed with AI.At WRITER, we’re building the agentic AI platform trusted by the world’s most regulated and security-conscious organizations. From Goldman Sachs and Salesforce to Accenture and Hilton, leading enterprises rely on WRITER to connect their knowledge, workflows, and people through secure, production-grade AI.As Vice president, customer success, EMEA, you’ll lead the region’s customer success organization and partner directly with C-suite executives at Fortune 500 and Global 2000 companies to deliver measurable transformation—not proofs of concept, but lasting operational change.You’ll own retention and growth, scale a world-class team, and define how enterprises measure success in the agentic era. You’ll be a key member of WRITER’s EMEA leadership team and an active voice in the global CS leadership group, shaping strategy, structure, and culture across regions.This is a builder’s role with global reach - reporting to our CCO and working closely with the GM of EMEA, CEO, CRO to drive WRITER’s next stage of growth.🦸🏻‍♀️ Your responsibilities:Drive industry leading growth and retention by owning ambitious NRR and GRR goals, tying every expansion to quantifiable business outcomes.Lead, scale, and develop a high-performing CSM team across Strategic, Enterprise, and Mid-market segments—hiring exceptional talent and building clear career paths. Have a dotted line to other post sales organizations.Design and operationalize a regional success model that becomes the global blueprint - playbooks, metrics, and governance that scale.Build trusted partnerships with CIOs, CMOs, and business leaders at companies like Goldman Sachs, Accenture, and Hilton, positioning WRITER as mission-critical infrastructure.Collaborate cross-functionally with Sales, Product, Marketing, and Solutions architecture to co-create account strategies that deliver measurable ROI.Champion operational excellence through disciplined forecasting, success planning, and data-driven decision-making.Represent the voice of the customer at the highest levels, influencing product direction and innovation.⭐️ Is this you?15+ years in enterprise SaaS or transformation-driven technology with deep experience leading Fortune 500/Global 2000 relationships.7+ years in senior CS or post-sales leadership, ideally across multi-country EMEA operations. In addition to CS management, ideally have also led Engagement managers, Customer architects, and Customer support either directly or indirectly.Proven record-building and scaling CS organizations through inflection points - hypergrowth, global expansion, or IPO.Fluent in enterprise AI adoption and governance, with a strong grasp of ROI frameworks and transformation programs.A strategic and hands-on operator-able to alternate between vision and precision execution.Executive presence and credibility to influence at C-suite level and coach at every level.Enthusiasm to both drive strategy and prop leadership and “get in to the details” at the customer level to manage escalations and ensure deliveryBased within commuting distance of our London hub.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits: The standard OTE range for this position is $150,000-$212,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits: The standard OTE range for this position is $150,000-$212,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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The Role We’re looking for a driven and creative Account Executive to bring Descript’s video and AI solutions to more businesses around the world. As one of our early sales hires, you’ll help shape our sales playbook, refine our strategy, and drive new revenue growth. This role offers a rare opportunity to partner closely with Product and Marketing teams, working across the company to define the future of Descript’s enterprise and creator sales motion. What You’ll Do Own the full sales cycle — from prospecting to closing Develop and execute outbound strategies to identify and engage new opportunities Run product demos and lead technical + business conversations across multiple stakeholder levels Build and manage executive-level relationships with enterprise customers Collaborate with internal teams to optimize the customer journey and feed insights into product and marketing initiatives  What You Bring Proven success in a quota-carrying B2B SaaS or AI sales role Experience managing complex sales cycles and closing high-value deals Ability to translate technical products into clear business outcomes Creative, persistent, and curious approach to building pipeline and outreach Comfortable in fast-moving, ambiguous environments — you build as you go Enthusiasm for creator-oriented tools, especially in video, audio, or AI Knowledge of media creation workflows within organizations   The base salary range for this role is $100,000- $135,000/year and the compensation structure will follow a 50/50 base/variable split. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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ABOUT RETELL AIRetell AI is using the first principles to reimagine the call center with cutting edge voice AI.We believe voice is still the most natural way humans communicate, yet it has been trapped in outdated call centers for decades. Our mission is to bring intelligence, empathy, and speed to every phone conversation between businesses and their customers.Since launching 18 months ago, thousands of companies now utilize Retell’s AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Altman Capital, and other leading investors, we have scaled to $30M ARR with a team of 20 people, up from $5M at the start of 2025.Now, we’re scaling fast, and we’re looking for bold, ambitious people to help us build the gold standard for voice automation. If you want to work on deeply technical challenges, move fast, and make an outsized impact at one of the fastest-growing Voice AI startups in the world, you’ll love it here.Let’s build the future of voice automation together.We’re a top 50 AI app in a16z list: https://tinyurl.com/5853dt2xWe're also one of the top ranking startups on: https://leanaileaderboard.com/ABOUT THE ROLEAs a Senior Frontend Engineer, you’ll shape the user experience of our AI voice platform, building intuitive interfaces and tools that power millions of automated conversations. You’ll work across the stack, focusing on React and TypeScript, and collaborate with the founding team to deliver fast, beautiful, and scalable solutions.KEY RESPONSIBILITIESDesign and build core UI features like prompt management, dashboards, and analytics tools.Develop responsive, intuitive interfaces using React, TypeScript, HTML, CSS, and JavaScript.Collaborate on backend APIs and DevOps to ensure seamless, scalable systems.Lead frontend projects from concept to launch, owning architecture, coding, and iteration.Work with customers to onboard, debug, and turn feedback into UX improvements.YOU MIGHT THRIVE IFHave 2+ years of experience building production-grade apps with React and TypeScript.Hold a degree in CS, CE, or equivalent practical experience.Take ownership like a founder, proactively solving problems with clean design thinking.Thrive in fast-paced environments, quickly learning new tools and frameworks.Collaborate effectively, balancing clarity and momentum in small, dynamic teams.JOB DETAILS Job Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: 215k - 290kEquity: 0.05 - 0.15%Location: Redwood City, CA, USUS Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.OTHER BENEFITS100% coverage for medical, dental, and vision insurance$70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks$200/month wellness reimbursement (gym, fitness classes, etc.)$300/month commuter reimbursement (gas, Caltrain, etc.)$75/month phone bill reimbursement$50/month internet reimbursementCOMPENSATION PHILOSOPHYBest Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries. INTERVIEW PROCESSOnline Assessment (1 hour): Coding questions on practical problem-solving (7 days to complete).Intro Call (15-20min): Connect with our talent team to get a deeper look at the team and the work you'd be doing.First Technical Phone Interview (45 min): Practical coding session focused on code fluency and system design (For frontend roles, we will focus on React-specific questions)Technical Phone Interview (45 min): Practical coding session focused on code fluency and focused more heavily on your systems design approachOnsite/Virtual Interviews (2–3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:Practical Coding: Tackle real-world coding tasks with debugging.System Design: Architect a production-ready system.Tools & Automation: Build automations or improve workflows in any basic environment setup like python, java, node.js, etc.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to craft the future of voice automation, building intuitive, impactful frontend experiences that redefine AI-driven communication.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleDecagon is opening our third office in London and looking for an Engineering Manager to build it from the ground up and shape it's culture. As a leader on the Agent Software Engineering team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 2+ years of engineering management experienceHave 7+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation£220k - £280k + Offers Equity