AI Marketing & Sales Jobs

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs a Partner Success Director - Strategic Accounts at Abridge, you will play a vital role in ensuring the satisfaction, adoption, and expansion of our solutions within our customers. You will be a core member of the commercial team and work closely with clinicians, administrators, and key stakeholders to understand their needs, provide ongoing support and guidance, and drive the successful utilization and expansion of our products and services. What You'll DoClinician Success:Build and maintain strong relationships with clinicians and healthcare professionals across enterprise customers.Act as a trusted advisor to clinicians, offering guidance and best practices to enhance their productivity, efficiency, and patient outcomes.Understand user workflows, pain points, and objectives to align our solutions with their needs.Provide product training and onboarding support to clinicians, ensuring a smooth transition and optimal utilization of our solutions.Proactively identify and address any issues or concerns raised by clinicians, collaborating with internal teams to provide timely resolutions.Monitor and track clinician satisfaction and adoption rates, proactively identifying opportunities for improvement and driving engagement initiatives.Customer Expansion:Collaborate with the sales team to identify expansion opportunities with existing customers, outlining goals, milestones, and action plans.Conduct regular business reviews with key stakeholders to assess product performance, user feedback, and identify opportunities for additional value-add solutions.Present new features, upgrades, and solutions to clients, highlighting their potential benefits and ROI.Track customer expansion metrics and contribute to revenue growth targets.Partner Success Advocacy:Support all clinician users and serve as the voice of the customer internally, sharing insights, feedback, and success stories to drive product and service improvements.Collaborate with cross-functional teams, including sales, marketing, and product, to deliver a seamless customer experience.Contribute to the development of partner success resources, such as knowledge bases, training materials, and partner success stories.What You'll BringProven experience as a Customer/Partner Success Director or Customer Success/Partner Manager5+ years of experience working in or with enterprise health systemsStrong understanding of the healthcare ecosystem, including the dynamics and challenges faced by large health enterprises and clinicians.Excellent communication and interpersonal skills, with the ability to build trust and establish rapport with clinicians and stakeholders at all levels.Technical aptitude and ability to quickly understand and effectively communicate complex software solutions.Strong problem-solving skills, with a proactive and results-oriented mindset.Ability to multitask and manage multiple client relationships simultaneously.Familiarity with CRM software and customer success tools is a plus.Strong organizational and project management capabilities.***This role requires up to 20% travel***Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employeesComprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.Paid Parental Leave: Generous paid parental leave for all full-time employees.Family Forming Benefits: Resources and financial support to help you build your family.401(k) Matching: Contribution matching to help invest in your future.Personal Device Allowance: Tax free funds for personal device usage.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Location: San Francisco and New YorkTeam: Product & DesignReports to: CPTOAbout ArtisanArtisan is building the next generation of AI-native tools for modern go-to-market teams. We design intelligent systems that automate and accelerate revenue workflows across the entire customer lifecycle. As an early design leader, you’ll shape not only the product, but the culture, processes, and design foundations of the company.We’re operating in the messy, high-velocity reality of a Series A company: rapid iteration, fast decision-making, no bureaucratic guardrails, and enormous ownership. You will be one of the earliest design leaders and will set the bar for product excellence across the organization.Role OverviewWe are looking for a Product Designer who can operate as a hybrid product strategist, systems thinker, prototyper, and design leader. You will work on complex, multi-layered AI workflows, define interaction models for autonomous agents, and craft intuitive experiences for GTM teams that rely on clarity, speed, and trust.This role requires deep experience designing for ambiguous problem spaces, driving cross-functional collaboration, and owning UX from discovery to final craft. You will set quality standards, influence product vision, and mentor other designers as the team scales.What You’ll DoOwn end-to-end UX for some of the company’s most strategic AI-powered workflows.Translate ambiguous product opportunities into clear, structured UX strategies and interaction models.Partner tightly with Product, Engineering, and ML teams to define user journeys, prototypes, and system behaviors.Design multi-step flows, data-rich interfaces, and scalable design patterns for complex GTM use cases.Drive user research and usability testing to validate hypotheses and refine product decisions.Develop a coherent design system that can scale as the product expands.Raise the bar for design quality across the organization—both through hands-on craft and mentorship.Help define the long-term product vision and roadmap from a UX-led perspective.Serve as a bridge between near-term execution and long-term strategic thinking.Who You AreA Strategic DesignerYou think in systems and flows, not just screens. You can turn messy problems into structured plans and communicate design rationale clearly to founders, engineers, and stakeholders.A Builder at HeartYou thrive in fast-moving environments with limited process and imperfect information. You operate autonomously and unblock yourself without waiting for direction.A High-Caliber CraftspersonYou care deeply about clarity, precision, and usability. You sweat the details and deliver highly polished work—even in high-speed environments.A Cross-Functional PartnerYou collaborate naturally with PMs, engineers, ML researchers, and leadership. You know how to influence decisions without authority.Comfortable with AI Product ComplexityYou’ve designed for workflows involving automation, decision support, or data-heavy experiences. You understand how to create trustable, transparent, and understandable AI interactions.What You Bring7–10+ years of UX/Product Design experience, ideally in fast-growing SaaS or AI-driven products.Demonstrated ability to ship complex end-to-end features in ambiguous environments.Experience designing for B2B tools, dashboards, workflow automation, or enterprise-grade software.Expertise in prototyping (Figma, high-fidelity flows, interactive prototypes).Strong system-design thinking: design systems, interaction patterns, and reusable frameworks.Ability to lead discovery, research, and user validation end-to-end.Experience influencing product strategy through UX insights.Bonus: experience in GTM tech, productivity tools, or AI systems.Bonus: early-stage startup experience (Series A–B).What Success Looks LikeClear, intuitive user flows that simplify complex GTM operations.A scalable design system used across teams and features.High-quality prototypes that accelerate engineering execution.Strong cross-functional alignment driven through thoughtful UX leadership.Tangible improvements to user efficiency, clarity, and adoption.Why Join ArtisanYou’ll own critical parts of the product that shape the future of AI in GTM.You’ll have massive autonomy and impact in a deeply creative, fast-paced environment.You’ll help set the foundations of the design team at a high-growth AI startup.You’ll work closely with founders and top engineering talent on category-defining challenges.

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At Aleph Alpha, we are shaping the future of AI with European values at the core. The heart of our product is developing cutting-edge generative AI solutions with a strong emphasis on sovereignty, ethical development, and societal benefit. Our generative AI offering empowers businesses, governments, and individuals to achieve their full potential.Building world-class AI solutions requires a robust and secure technological backbone. Our Infrastructure Team ensures the scalability, reliability, and security of Aleph Alpha’s sovereign AI, enabling us to deliver cutting-edge innovation with confidence.As a Senior Network Engineer at Aleph Alpha, you will play a critical role in managing and evolving the network infrastructure that powers our AI research and model training operations. You will be responsible for ensuring the stability, security, and scalability of our enterprise network across multiple datacenter locations.Your responsibilities:Design, implement, and maintain enterprise network infrastructure including routing, switching, and VLAN configurationsManage and optimize firewall and security configurations to ensure compliance with high-security standardsEnsure full operational functionality of GPU clusters supporting large-scale AI/ML workloadsBuild redundancy and establish standards to guarantee uninterrupted operationsPlan and prepare network infrastructure for datacenter expansion — locally and internationallyCollaborate with cross-functional teams including HPCM, DevOps, and SecurityDocument network configurations, processes, and best practicesYour profile:Several years of experience in enterprise network managementStrong knowledge of routing, switching, VLANs, and firewall administrationExperience in high-security network environmentsFamiliarity with Fortinet/FortiGate firewalls (preferred)Experience with Aruba and/or HPE networking equipment is a plusAbility to work independently and adapt quickly to new technologiesStrong problem-solving skills and a proactive mindsetFluent in English; German is a plusWhat you can expect from us:Become part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthJobRad® Bike LeaseSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticketBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option Plan

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AI Implementation Strategist About HaastWe’re not just talking about AI – we’re building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams today.For the last 2 years, we’ve been transforming how organisations handle compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI-powered platform helps legal, compliance, and marketing teams revolutionise their operations with up to 80% faster reviews and a 4x boost in productivity.Why is this exciting? Because we're surfing the biggest wave in enterprise tech – the AI revolution. As the regtech industry rockets toward a $50 billion future, we're proudly flying the Australian flag on the global stage.Think about it: Design has Canva. Projects have Trello. Now, Compliance has Haast.The Role: AI Implementation StrategistThis is a high-impact role at the intersection of customer success, product strategy, and enterprise AI enablement. You’ll be one of the first hires in Haast’s customer success and implementation function, working directly with our customers to ensure they get real-world, lasting value from our platform.You’ll act as a trusted advisor to legal, marketing, and compliance teams across Australia’s top institutions, guiding them through onboarding, AI rule configuration, and rollout. This is a unique opportunity to help define how enterprise-grade AI is deployed in highly regulated environments - and learn more in 12 months than most roles offer in 3 years.What You’ll DoLead AI implementation projects from onboarding to rollout — you’ll own the customer journey from day one.Work with enterprise customers to understand their workflows and compliance rule sets to understand their pain points.Work side-by-side with legal, marketing, and compliance users to help them understand and trust the platform.Troubleshoot technical or strategic blockers and find creative, elegant ways through them.Translate messy real-world documents into structured insights our AI can act on.Provide feedback to product and engineering teams to shape Haast’s roadmap based on live customer needs.Build out repeatable playbooks and best practices as we scale — you’ll help us build the foundations.You Might Be a Fit If You…Have 2–5 years of experience ideally practicing law (with a JD or equivalent legal qualification), or in a fast-paced, client-facing, strategic, or operational role (consulting, early stage ops, etc.)Love solving complex business problems with smart, practical solutions — and aren’t afraid of ambiguityStrong engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levelsAre excited by AI and already tinkering with tools like ChatGPT or ClaudeCan explain technical concepts clearly to non-technical stakeholdersAre detail-oriented, self-driven, and thrive in fast-moving, early-stage environmentsHave strong organisational skills and can run a customer implementation like a well-oiled machineWhy HaastLead the evolution from dull, traditional SaaS to AI-powered workflows (because nobody ever said, “I love manually reviewing compliance content!”).Build enterprise-grade AI technology that major institutions trust – and love!Empower professionals to focus on strategic work by automating tedious review processes.Protect consumers by developing technology that fosters compliance and accountability.Sydney-based with flexible work arrangements (because life happens).Competitive salary and equity – your time and talent matter to us.Real responsibility and impact – you’ll be shaping not just customer outcomes, but the future of the product.Collaborative, engineering-driven culture where learning and professional development are at the forefrontWork with cutting-edge AI technologiesOur team is growing - Apply Now! At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you. If this role sparks your interest, reach out - let’s chat.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary We are seeking experienced Senior Software Engineers to join our Cloud Deployments team. In this role, you will join a new team dedicated to deepening and expanding our integration with major cloud providers, ensuring seamless, native, and scalable deployment of our AI products (AI Studio, APIs, SDKs, etc.) within their ecosystems. You will work closely with hyperscalers engineering teams, internal stakeholders (science, product, program management), and external partners to define standards, build integrations, and automate deployment workflows. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and influence cloud providers’ roadmaps. What you will do • Contribute to Cloud Provider Integrations: Execute technical strategies for integrating Mistral’s products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure.• Build Scalable Integrations: Help develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams.• Collaborate with Hyperscalers: Work with cloud providers’ engineering teams to define interfaces, standards, and best practices for AI model deployment and integration.• Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral’s AI Studio suite directly from cloud providers’ platforms, with a focus on simplicity, reliability, and performance.• Cross-functional Collaboration: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs.• Automate and Optimize: Contribute to building tooling and processes to automate packaging, deployment, and monitoring of Mistral’s products across cloud environments.• Technical Advocacy: Participate in technical discussions with cloud providers, helping to influence their roadmaps and ensure our products are optimized for their platforms. About you • 5+ years of relevant professional experience in complex infrastructure environments.• Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems.• Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform) .• Ability to work with product, engineering, and business teams, as well as external partners.• Ability to communicate with influence What we offer💰 Competitive salary and equity.🚑 Healthcare: Medical/Dental/Vision covered for you and your family.👴🏻 Pension : 401K (6% matching)🏝️ PTO : 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport🏀 Sport: $120/month reimbursement for gym membership🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)🌎 Visa sponsorship 🤝 Coaching: we offer BetterUp coaching on a voluntary basis

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

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).About the RoleWe are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.In this role, you will:Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedbackContribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.You’ll thrive in this role if you:7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirableFormer founder, or early engineer at a startup who has built a product from scratch is a plusExperience with relational databases like Postgres/MySQLHave a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).About the roleForward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap.Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution.This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.In this role you willOwn technical delivery across multiple deployments from first prototype to stable productionBuild full-stack systems that deliver customer value and sharpen how we learnEmbed closely with customer teams, understand their needs, and guide adoption of what you buildScope work, sequence delivery, and remove blockers earlyMake trade-offs between scope, speed, and quality; adjust plans to protect deliveryContribute directly in the code when progress or clarity depends on itCodify working patterns into tools, playbooks, or building blocks that others can useShare field feedback that helps Research and Product understand where the models succeed and where they can improveKeep teams moving through clarity and follow-throughYou might thrive in this role if youBring 5+ years of engineering or technical deployment experience that includes customer-facing workHave scoped and delivered complex systems in fast-moving or ambiguous environmentsWrite and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacksHave built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experienceSimplify complexity and make fast, sound decisions under pressureCommunicate clearly with engineers, product teams, and customer stakeholdersSpot risks early and adjust without slowing downModel calm and judgment when the stakes are highAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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DevSecOps / Platform EngineerArlington, VA — Full TimeThe defense market is surging, but the data that drives it hasn’t kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively. We’re growing fast and backed by top funds and DoD/national security veterans.We believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us.The RoleAs a DevSecOps / Platform Engineer at Obviant, you will build and operate the foundational systems that power our data ingestion pipelines, application infrastructure, and secure deployment environments. You'll work across cloud infrastructure, CI/CD, container orchestration, and security automation to ensure our platform is reliable, scalable, and compliant with the needs of defense users.This is a hands-on role with deep ownership. You’ll collaborate closely with engineering, data, and product teams to develop the infrastructure that supports fast iteration, an expanding feature surface, and mission-critical workflows for government stakeholders.We move fast, simplify complexity, and build systems that scale.ResponsibilitiesDesign, implement, and operate secure, cloud-native infrastructure that powers Obviant’s core platform Build and maintain CI/CD pipelines that enable high-velocity, high-reliability shipping across teams Work with containerized workloads (Docker, Kubernetes) to automate deployments and manage environments Develop Infrastructure-as-Code frameworks to standardize and scale system provisioning Implement and uphold DevSecOps best practices—hardening images, managing vulnerabilities, and automating security controls Collaborate with full-stack engineers and data teams to support ingestion pipelines, new product workflows, and user-facing features Troubleshoot infrastructure issues in real time, identify root causes, and drive long-term improvements to reliability and performance Participate in research and development to improve automation, observability, build tooling, and operational efficiency Contribute directly to how government technology is built and delivered by shaping infrastructure strategy end-to-endWhat You Bring3+ years of experience operating cloud infrastructure (AWS preferred; GCP/Azure welcome) Strong knowledge of containerization and orchestration (Kubernetes, EKS, Helm, etc.) Experience implementing Infrastructure as Code (Terraform, Pulumi, CloudFormation, etc.) Hands-on experience building and maintaining CI/CD pipelines Understanding of container/image hardening and vulnerability management Proficiency in at least one scripting language (Typescript, Go, etc…) Experience debugging distributed systems and automating workflows Strong communication skills—clear, concise, and collaborative Ability to thrive in ambiguity, move quickly, and drive outcomes with high ownership Passion for national security and mission-driven work Comfortable with the pace and expectations of a fast-growing startup Bonus:Experience supporting government or regulated environments Exposure to IL4/IL5, compliance frameworks, or security accreditation processes Kubernetes certifications (CKA, CKAD) AWS Solutions Architect certification Experience with multi-cloud networking and container hardening Active or ability to obtain a security clearanceOur Working Style — Why You Might Love It HereYou care about government & are mission-oriented - Our work is important, and is critical to improving a system that impacts us all.Perseverance and endurance - Hard problems are worth solving, and solving them can take a long time. There is no such thing as exhausting all options, it’s just time to look for new ones.Empowerment > micro-management – We’re building a culture of high-performers. Our job is to equip them with what they need and eliminate roadblocks for them to succeed. We trust their judgment, skills, and experience from there.We’re collaborative and communicate well - Constructive dialogue that takes all viewpoints into account is the only way we get to the right decision. Respect, trust, and complete transparency with each other is critical - keep it all in the openYou’re really good at what you do… but it speaks for itself – High output, no ego. Being humble is extremely important to usYou don’t mind change and are comfortable with uncertainty - We’re deliberate about setting goals, but we’re comfortable changing course and dealing with discomfort to get there. We’re still figuring things out, and that demands being flexible and iterative.Work doesn’t feel like “work” to you – We’re passionate about what we’re going after, and we devote more time to it than a typical 9-5. That often means putting in extra time at night and occasionally on weekends. However, maintaining your own personal balance comes above all else, and you should establish that however you need to - flexible schedule, taking advantage of time off, or anything else you need.You like to move fast and have a bias towards action - Our roadmap is directional at this stage - speed and a feeling of urgency is key to prove it out. We expect each other to proactively determine what needs to get done and go for it.Integrity is never negotiable – Transparency, honesty, and respect comes above all else.Benefits & StructureWe’re a tight-knit team headquartered in Arlington, VA. We work in the office together most days, and believe being in the same place is a competitive advantage.Flexible schedule - We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks - take care of it whenever you have to. And work from home when you need to.Competitive compensation + Sizeable equity - We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.Flexible vacation time - Use what you want, as long as you’re taking care of what needs to get done.Full health, dental, and vision insurance.And more…

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking ForAs an AI Strategist, you will be the project lead for customer engagements. In collaboration with a technical lead, you’ll drive a motivated team of engineers and researchers focused on solving our customers' most critical problems. Your mission is to own business outcomes, ensure that the project team creates value for the customer, and earn customer trust. You will be responsible for the entire customer engagement from start to finish.In a typical engagement, you will begin by understanding customer problems and desired outcomes. With this context, you will embed yourself in the complex workflows of our customers, to identify opportunities where AI can solve pain points. After scoping a meaningful project, you will lead your team to ensure that we deliver a system with high quality and model accuracy. Because we care about driving real value, your engagement doesn’t stop with delivery of the system - you are also responsible for driving user adoption and iterating to make sure this product is valuable to the end user.This role requires a curious and analytical approach, the ability to identify valuable problems to solve, strong intuition for product development, and a deep commitment to customer success. Key ResponsibilitiesEarn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders.End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement.Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer.Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints.User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value.Product Feedback: Represent the customer's voice, surfacing pain points that drive future product improvements.What We RequireOperational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams.User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs.Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities.AI Passion: A passion for AI and optimism about its potential to impact the world.Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL).Travel: Ability to travel 25-75%, varying by team.What We OfferCompetitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office. Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in a few months with our agentic product, and we're looking for engineers to help us reach $XXM ARR. As a founding engineer, you won’t just be writing code, you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the rolePush the frontier of how agents interact with the browser, improving speed, reliability, and coverage across real-world appsBuild and evolve how multiple agents collaborate to solve complex workflowsDesign and scale the systems that make Magical run seamlessly on desktop, unlocking enterprise-grade stability and performanceBuild rigorous verification systems that guarantee our agents are doing the right thing every timeAbout youHave some experience in TypeScript and ReactHave been coding outside of work for 5+ years, through side projects, open source, and more recently, AIHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Value taking ownership and responsibility for your projects and systems.Studied Computer Science (or related field), or dropped out to build stuffLocated in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackFamiliarity with our tech stack is not requiredTypeScriptFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and ViteBackend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

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

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

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

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

false

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

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About the TeamThe User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a senior strategy and operations leader to build, lead, and scale the Strategy & Operations function within OpenAI’s User Operations organization. In this role, you will manage a high-impact team of strategy and operations practitioners while owning the service strategy, planning, and execution mechanisms that underpin our customer support operations.You will be accountable for how User Operations scales – designing and evolving our support model, forecasting and planning for growth, and ensuring we have the right capacity, capabilities, and operating rhythm to meet user needs as OpenAI’s products and footprint expand rapidly. This role acts as the connective tissue between strategy, planning, and execution, and as a force multiplier for User Operations leadership.You’ll be responsible for deeply understanding our existing support strategy and operating model, quickly gaining context on where we are and where we’re going – and then running with it, pressure-testing it, and evolving it as needed. This is not a role focused on documenting or maintaining playbooks. AI has fundamentally changed the customer experience and the nature of support operations; this role requires a leader who can define future-state service models, anticipate second- and third-order impacts of scale, and continuously adapt our operating approach.In this role, you will:Lead and develop the Strategy & Operations team within User Operations, setting clear direction, priorities, and quality bars, while raising the operational and strategic maturity of the org.Own Service Strategy for User Operations, including support model design, tiering and entitlements, and the evolution of our end-to-end customer experience.Own forecasting and capacity planning for User Operations, partnering closely with Finance and Data teams to translate demand signals into headcount, vendor strategy, tooling investments, and operating plans.Serve as a strategic partner to User Operations leadership, helping define long-term direction while ensuring near-term priorities are executed against with rigor and accountability.Drive AI-native operations across User Operations, embedding LLMs and automation into service strategy, workforce models, tooling, and decision-making. Technology is not an adjunct here – it is foundational to how we design support.Partner closely with Product, Engineering, and Data leaders to identify and solve the most critical scaling challenges in support, including deflection strategy, self-service expansion, tooling evolution, and operational quality.Bring structure to ambiguity and momentum to execution, establishing program structure, decision frameworks, and operating rhythms that allow teams to move quickly without losing coherence.Lead deep, analytical dives into the core drivers of support performance, including volume, handle time, backlog, SLA risk, cost-to-serve, automation efficacy, and customer experience signals.Own change management for major operational shifts, ensuring new strategies, service models, and systems are adopted effectively across internal teams and external partners.Act as a senior escalation and alignment point across the org, connecting strategy, planning, and execution, and ensuring leadership has clarity into progress, risks, and tradeoffs.You might thrive in this role if you:Have 10+ years of work experience in customer support operations and/or a strategy & ops function, with deep, hands-on experience running and scaling support organizations, and prior people-management responsibility.Bring a strong, opinionated point of view on customer support operations, including service strategy, workforce planning, automation strategy, and operating cadence – and can quickly adapt that perspective to OpenAI’s unique context.Have led forecasting, capacity planning, and annual planning in complex, high-growth environments, with comfort operating under significant uncertainty and imperfect data.Operate comfortably at all altitudes, from executive-level strategy conversations to detailed discussions on queue dynamics, SLAs, routing logic, and agent performance.Have a proven track record of owning large, ambiguous problem spaces end-to-end, translating them into clear priorities, executable plans, and measurable outcomes.Have a deep passion for AI, technology, and customer experience, and are energized by the opportunity to redefine how customer support operates at a global scale.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Trustworthy AI team is investing in external assurances to build out a robust safety ecosystem. This includes enabling third party assessments for OpenAI’s flagship launches, piloting new assurance mechanisms like safety compliance reviews, and incorporating independent expert input as evidence for critical safety decisions. This role requires a blend of partnership management, cross functional coordination, an understanding of AI safety research and evaluations, and strong communication skills to synthesize findings and translate into decision relevant actions.About the RoleAs a Technical Program Manager on the Trustworthy AI team, you will drive interdisciplinary programs in collaboration with external partners. This includes strategizing and executing on the vision for strategic research partnerships, and growing and managing our external assurance programs which include third party assessments and enabling independent academic research.We’re looking for people who have experience running strategic academic collaborations and program management with technical and research teams. You will work with researchers/engineers both internal to OpenAI and as a part of the external community to initiate new projects, set ambitious goals and milestones, and drive execution across multiple teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Create strategic research partnerships Proactively identify new partners for external assurances such as high quality third party evaluators and academic research labsCreate feedback mechanisms for translating external research into actionable product and policy recommendations Communicate progress, status and risk effectively to stakeholders internally and externallyDrive tool and process improvements to improve efficiencyYou might thrive in this role if you: Have an understanding of AI evaluations and measurements and ability to engage with technical teams on AI evaluations Have experience working with and managing stakeholders external to an organization, especially academic researchers Can create executive summaries and synthesis of technical and social science researchHave worked cross functionally across product, research, and engineering teams Have an understanding and interest in frontier AI safety and policyAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).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 Singapore. 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 25%.In this role you willLead and grow a team of FDE delivering production systems with frontier modelsOwn end-to-end delivery outcomes through clarity, speed, tight coordination, and technical qualityCodify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer communityNotice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practicesUse judgement to distinguish what requires action and what does notSet a high bar for FDE performance and support each person’s growth through direct, actionable feedbackDefine how we staff and support field teams that can scale without added complexityYou might thrive in this role if youBring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineersHave led high-pressure technical projects from prototype to productionWrite and review production-grade code across frontend and backend using Javascript or PythonSimplify complex work and make fast, sound decisions under pressureElevate team performance through clarity, not processOperate with urgency in ambiguous or evolving environmentsTranslate field experience into sharp, actionable feedback for Product and ResearchBuild deep trust with your team by modeling calm, focus, and judgment when it matters mostAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

true

About AirOpsAirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality.Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts.AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo.What You’ll OwnWe are hiring a VP of Customer to build and scale a world-class Customer Organization that owns the entire post-sales customer lifecycle. This includes onboarding, activation, adoption, value realization, renewal, and expansion. You are the perfect fit for this role if you're excited to get your hands dirty building processes and systems, while building a global, high-leverage organization across CSM, Support, Solutions, and Enablement. You are exceptionally organized and both metrics- and customer-obsessed. Responsibilities:Own the end-to-end customer lifecycle by designing and operationalizing a seamless journey from contract signature to onboarding to value delivery to renewal to expansion.Build and lead the Customer Organization by hiring, coaching, and retaining a high-caliber, diverse team across CSM, Support, Solutions, and Customer Education. Establish career paths, performance frameworks, and leadership rituals.Customer onboarding and activation by standardizing implementation playbooks, onboarding packages, and customer education programs that accelerate time to value and reduce the effort required for customers to succeed.Drive adoption and value realization by implementing systems and programs that ensure customers achieve measurable outcomes, increase usage, and adopt additional workflows, products, and features.Own customer health and revenue metrics by defining and outperforming targets across Time to First Value, NRR, gross retention, NPS and CSAT, product adoption, and expansion ARR.Voice of the customer to Product and Engineering by creating structured feedback loops using qualitative insights and telemetry. Influence roadmap priorities and guide beta programs to maximize customer value.Executive partnership with Sales by collaborating on seamless handoffs, land-and-expand motions, and forecastable renewal and expansion pipelines.Operational excellence and automation by using AirOps, AI agents, and workflow automation to eliminate manual steps, lower cost to serve, and deliver more predictable customer outcomes.Scale globally and efficiently by standing up the right mix of onshore, nearshore, and offshore talent. Evaluate and manage services partners to handle onboarding capacity spikes.Thought leadership and customer enablement by building best-in-class customer education, publishing customer success frameworks, leading executive business reviews, and hosting strategic workshops with enterprise accounts. Expect up to 20 percent travel.Your Experience:8 or more years in customer-facing leadership roles in Customer Success, Professional Services, Support, or Customer Experience, with at least 3 years leading managers.Proven ability to build or scale a high-growth Customer Organization at a SaaS, AI, iPaaS, or workflow automation company.Demonstrated success owning the full post-sales lifecycle, not just renewals or customer success in isolation.Track record of delivering best-in-class retention, expansion, and customer satisfaction metrics in B2B environments.Strong understanding of onboarding, implementation, and adoption programs for complex enterprise software.Ability to translate customer data, product usage patterns, and operational metrics into actionable customer programs and commercial outcomes.Fluency with modern AI tooling and concepts such as prompt engineering, RAG, and workflow automation, and understanding of their impact on customer experience.Comfortable operating in seed to Series B environments. You thrive in ambiguity and build structure only where it increases speed.Prior startup experience is a strong plus.About YouYou are a customer-obsessed operator who can move fluidly between executive conversations, data-driven decisions, and technical problem-solving.You have a builder mindset. You prototype first and refine later, and you have a strong bias toward automation, scale, and measurable outcomes.You inspire teams with coaching, clarity, and transparent metrics. You run toward accountability.You balance customer satisfaction with commercial rigor and know how to grow accounts without compromising trust.You are an excellent communicator who can interface equally well with technical users, non-technical executives, and AirOps leadership.You are fascinated by the future of AI-powered customer experience and how automation can transform onboarding, adoption, and support.You are willing to travel up to two to three weeks per quarter to meet key customers and represent AirOps at industry events.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyParental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!