Gtm Strategic Finance Jobs

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relic is currently seeking a Director of Channel and Alliances to join our APJ Alliances & Channels Team! The A&C organisation owns all partner relationships, identifies how to engage with varying types of partners, how to identify and close potential opportunities involving a partner, building /executing joint GTM initiatives, improve product value through integrations, and distribution through leading cloud marketplaces. This individual will establish relationships and partnerships with leading cloud providers and provide mentorship to a few direct team members. If this aligns with your experience we would love to talk to you! What you'll do Lead a team of APJ-based partner managers with responsibilities to build partnerships end to end inclusive of contractual requirements, adding New Relic technology offerings to the marketplace, building /executing go to market efforts, monitoring opportunities and reporting Build, strengthen, and maintain relationships at multiple levels across all cloud partners that will drive increased visibility and grow the partnership Ensure our partners’ sales, technical, service and management resources are enabled as needed to make the partnership successful Drive a joint partner business planning process in which mutual performance objectives, identifying joint customer targets and critical achievements are defined Align with the cloud partners and internal alliance team members to identify how to build / launch Saa

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The core philosophy of Mixpanel's GTM Enablement team is that navigating sellers through the AI-driven landscape requires a hands-on approach. We are intentional about reintroducing the human element to change management; facilitating live training, analyzing sales conversations, and doing the gritty work of shifting rep behaviors. About the Role As a Field Enablement Manager, you'll own the enablement experience for every seller and customer success professional in your region. You'll be the person they trust to help them get better, and a reliable partner to their leaders when a team needs to shift behavior. This is not a program coordinator role. It's a coaching and training role for someone who gets energy from being in the room. You will own your regional enablement programs end-to-end, coordinating with a small but global Enablement team to drive GTM behaviors and best practices, and you'll bring fresh approaches back to the team as you learn what works. Responsibilities New Hire Onboarding delivers onboarding curriculum in person and run hands-on certification of core skills. Quarterly Academy Sessions organize and facilitate regional Mixpanel Academy sessions every quarter. Tech Stack Adoption & Productivity run weekly best-practice sessions and peer-sharing programs around the tools reps use every day. Rep Coaching via AI — use Gong AI and Galileo AI to score and analyze sales calls across your region, and turn that analysis into coaching that changes behavior. Global Program Support — help regionalize global enablement initiatives and share what's working with the broader Ena

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Join our team as a Partner Solution Consultant, a critical role within the Customer Advocacy (CA) technical field organization. You will serve as the primary technical arm for the Partner Sales Go-To-Market (GTM) engine, supporting our sales managers and ecosystem partners. In this role, you are the "quarterback" for all partner engagements within your assigned region. Your mission is to ensure our partners, including resellers, SIs, and MSPs, are technically capable, successful in selling, and effective in delivering our observability solutions across the entire partner lifecycle. You will balance technical enablement and solution support with rigorous delivery governance to drive partner-sourced revenue, ramp consumption and maximize customer impact. What you'll do Partner Enablement & Capability Building: Design and execute structured enablement plans for assigned partners, delivering workshops, "train-the-trainer" sessions, and technical coaching to close skill gaps and build technical autonomy. Solutioning & Pre-Sales Support: Act as an observability architect and "Swat Team" member for high-value partner-led opportunities, assisting with complex solution design, demonstrations, and Proofs of Value (POVs). Ecosystem Orchestration: Serve as an "air traffic controller" between internal teams (AEs, SCs, TSMs) and partners to determine the best route to success for every customer opportunity sourced by Partners. Operational Management: Maintain projec

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture. Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software. The Finance Systems team engineers and operates the platforms that support financial operations, including ERP, procurement, billing, and compliance. We work across configuration, extensibility, and integration to ensure systems are scalable, auditable, and resilient, treating code, configurations, and controls with the same rigor as software. As a Senior Software Engineer I (Finance Systems), you will lead the design, build, and operation of systems and workflows that directly support business execution at scale. You will own complex technical initiatives, partner with Product Managers and stakeholders on technical roadmaps, and mentor junior engineers. You will report into a Manager, Enterprise Systems, and can be based in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Systems Architecture & Optimization: Engineer and lead the end-to-end lifecycle—analysis, prioritization, and tec

Field CTOはDatadogの社内プロダクトエキスパートとして、Technical Solutions（TS）チームを通じて、見込み顧客への提案活動および既存顧客の成功支援を行い、Datadogのグローバルな成長を支えています。 Field CTOは、Product Solutions Architecture（PSA）組織の一員として、技術的な知見をもとにお客様の経営層や意思決定者に対する信頼できるアドバイザーとして活動します。お客様のビジネス目標とDatadogのプロダクト戦略を結びつけ、デジタルトランスフォーメーションの推進と、双方にとっての持続的な成長の実現に貢献します。 Datadogのさらなる事業拡大に伴い、日本市場全体のGo-To-Market（GTM）における技術戦略をリードするField CTOポジションを新設します。本ポジションでは、業界におけるリーダーシップの確立（対外発信・エバンジェリズム）、中長期的な戦略的価値提案の推進、ならびに市場におけるプレゼンスの拡大を担っていただきます。 Datadogでは、オフィスカルチャーを大切にしています。オフィスで築かれる人間関係やコラボレーション、そしてそこから生まれる創造性に価値を置いています。当社はハイブリッドワーク体制を採用しており、Datadogの社員一人ひとりが自分に最適なワークライフバランスを実現できるようにしています。 What You’ll Do: C-Level: CIO／CTO／CEO／CISOレベルの顧客および見込み顧客のエグゼクティブに対し、戦略的なアドバイザーとして、オブザーバビリティの導入プロセス、投資判断、運用定着に至るまでを戦略的に支援する。 GTM: 顧客とのエンゲージメントを通じて、業界特有のトレンドやその影響・可能性を特定し、Product、GTM、BVA、Architectureチームに対してトップ・オブ・ファネル創出に貢献します。Product SAおよびProduct Managementと連携し、業界向けソリューションを共同で創出します。 Leadership: Datadogプラットフォームの価値を体現するとともに、オブザーバビリティおよびセキュリティ分野におけるソートリーダーシップを発揮します。高度なソリューション、業界のベストプラクティス、大規模環境における優れた可視性と管理を提供する当社の取り組みを強調します。 Advisory: ROI（投資対効果）、価値実現、ホワイトスペース分析に関して、Salesリーダーおよび顧客・見込み顧客のエグゼクティブにとって信頼できるアドバイザーとなります。専門とする業界領域において、個別顧客の案件戦略および導入戦略を支援します。 Collaboration: Product Solutions Architecture（PSA）、Sales、Sales Engineering、Marketingと連携し、実務担当者および経済的意思決定者を含む幅広いオーディエンスに対して、質の高い技術的支援を提供する。 Presentations: 戦略的顧客のニーズにDatadogがどのように応えるかを示すため、アーキテクチャおよびデザインに関するエンゲージメントを主導します。また、DatadogのExecutive Briefing Center（EBC）において、著名な顧客や見込み顧客とともに、全体アーキテクチャ、オブザーバビリティのベストプラクティス、業界トレンドに関するエグゼクティブ向けブリーフィングに参加します。 Hiring: Product Solutions ArchitectureおよびField CTOチームにおける優秀な人材の採用活動において、リーダーシップを支援します。 Who You Are 業界経験: エンタープライズアーキテクチャ、または大規模なアプリケーションアーキテクチャ分野で15年以上の豊富な経験を有し、実際のユースケースに基づいてアーキテクチャを設計・適用できる能力を持つこと。加えて、日本市場の顧客におけるオブザーバビリティ領域、クラウド、および技術変革に関する深い知見を有すること。 戦略的思考力: 多様な技術的およびビジネス上の課題に対して、長期的かつ創造的に思考できる能力。 ステークホルダーマネジメント: 大規模エンタープライズ組織において、VP以上およびCレベルの主要ステークホルダーと対話し、影響力を発揮してきた経験。 テクノロジスト: 高い技術力を備えたハンズオン型のリーダーとして、組織内のあらゆる階層と信頼関係を構築できる方。 プレゼンテーション能力: 多数の参加者を前にした顧客向けプレゼンテーションに優れ、複雑な技術的詳細の説明から、エグゼ

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: You have 3+ years of product management experience building technical products, ideally in security,

カントリーマネージャー 日本 当社は、日本の事業の立ち上げと爆発的な成長を牽引する、先見の明のあるカントリーマネージャーを探しています。APACセールス担当SVPの直属となり、この重要な市場へのMongoDBの戦略的拡大の基礎となるアーキテクト（設計者）および要（かなめ）となります。これは単なる営業職ではなく、ゼロから高性能なチームを構築し、実行の文化を植え付け、営業、技術チーム、パートナーエコシステムを結びつける部門横断的なGTM（Go-To-Market）戦略を組織するリーダーシップの任務です。あなたは、トップクラスの人材を採用し、世界で最も急成長しているデータベースの顧客導入を促進し、この地域のソフトウェアの未来を定義する深く価値の高い関係を築くことで、当社の日本でのサクセスストーリーのアーキテクトとなるでしょう。 当社のハイブリッド勤務モデルのため、日本に拠点を置く候補者と面談したいと考えています。 職務内容 日本の市場参入と規模拡大の設計 戦略的ビジョンの設定： 日本の長期的なGTM戦略を定義および実行し、市場参入を持続可能で高速度のARR（年間経常収益）成長へと変革します。 高性能エンジンの構築： 世界クラスのチームを採用・指導し、卓越した業務遂行、説明責任、顧客第一の営業の文化を育みます。 戦略的パートナーシップの推進： クラウドプロバイダー（AWS、Google Cloud、Azure）およびグローバルシステムインテグレーター（GSI）との統合を深め、エコシステムパートナーシップを大規模なエンタープライズモダナイゼーション取引の主要なエンジンに変えます。 消費の卓越性の推進： 初期の受注を超えて、Atlasポートフォリオ全体で深い技術的採用と健全な製品消費を促進し、長期的な顧客価値を確保します。 部門横断的な成功の組織 GTM活動の統一： 営業、カスタマーサクセス、プロフェッショナルサービスの中央指揮者として機能し、初期のエンゲージメントから本番展開に至るまで、シームレスで摩擦のないカスタマージャーニーを確保します。 製品と市場の橋渡し： 日本の顧客の意見を代弁し、当社のロードマップがこの市場の独自のニュアンス、特に高セキュリティおよび規制された業界に対応できるように、製品およびエンジニアリングに重要なフィードバックを提供します。 データに基づいた厳格なリーダーシップ： マーケティングおよびBDR/SDRリーダーシップと連携して、高いシグナルのパイプライン衛生を維持し、マーケティング投資がフィールドの優先順位と影響力の高い獲得ターゲットに直接一致するようにします。 応募資格 経験と専門知識 B2Bソフトウェア、クラウド、またはデータプラットフォームにおける20年以上の段階的な上級経験があり、エンタープライズ規模のGTMに重点を置いていること。 現地のビジネス環境、役員レベルのコミュニケーション、部門横断的なリーダーシップを円滑に進めるために、バイリンガル（日本語/英語）の習熟度が不可欠です。 開発者主導型/オープンソース/プロダクト・レッド・グロース（PLG）の活動における深く実証された専門知識。エンタープライズ規模のモダナイゼーション取引に拡大する前に、主要なエントリーポイントとして開発者をどのように引き込むかを理解していること。 コンサンプションベースのビジネスモデルの経験があり、日本で「ゼロから構築した」実績、または大規模な部門を拡大した実績があること。 SI/パートナーエコシステムのエンゲージメントやクラウドネイティブデータベースの導入など、日本の市場環境をナビゲートした実証された成功経験。 業務遂行の卓越性 MEDDPICCのような最新の営業手法を強く理解しており、大規模な実装と検証の実績があること。 データ主導のインサイトを使用して、パフォーマンス、予測の正確性、および業務の厳密性を管理する能力。 高成長環境において、一貫性と予測可能性を促進する運用ケイデンスを設計・実行した実績のある経験。 人材と文化のリーダーシップ この地域で高性能のGTMチームを採用、育成、維持してきた実績があり、トップクラスの人材を引きつける存在として認められていること。 MongoDBのLeadership Commitment（オーナーシップ、インクルージョン、そして「ビルダー」の考え方を手本とすること）と深く一致していること。 目先のパフォーマンスと長期的なキャリア開発のバランスを取る、説明責任の高い文化を構築する実証された能力。 MongoDBについて MongoDBは変化に対応できるよう構築されており、お客様と従業員が市場のスピードでイノベーションを起こせるよう支援しています。当社はAI時代に向けてデータプラットフ

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. Team Leadership: Lead, mentor, and grow

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for an exceptionally experienced, hands-on full-stack engineer to define and build the next generation of AI-powered enterprise workflows. You will take on the hardest and most ambiguous problems in the Technology vertical: translating real customer needs into product direction, designing the systems behind the experience, and personally writing and shipping production-quality code across the stack. You will own the technical direction and end-to-end delivery of products spanning ChatGPT Work surfaces, backend services, plugins, connectors, enterprise data, permissions, and evaluations. You will make foundational architecture and product tradeoffs; establish patterns other engineers can build on; and hold these experiences to a high bar for reliability, security, observability, and customer value. This is an individual-contributor role for an engineer who leads through technical judgment, direct execution, and influence—not people management. You should be equally comfortable working directly with customers, setting direction with senior cro

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout. In this role, you will: Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. Turn customer a

About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi

About the Team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 40%, although mainly local. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role, you will: Lead and grow a team of FDE delivering production systems with frontier models Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices Use judgement to distinguish what requires action and what does not Set a high bar for FDE performance and support each person’s growth through direct, acti