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Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion is seeking a Workplace Technology Operation contractor for our Dublin office. As part of our growing Workplace Technology Operations team, you'll be a resourceful, security-focused, and people-centered professional who will help us continue scaling and establish best-in-class support for our end users. The ideal candidate is expected to provide exceptional technical support, contribute to automation opportunities, and make a meaningful impact on our day-to-day workplace operations. This is a 12–18 month fixed-term role, with longer-term opportunities possible depending on business needs and performance. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. What You'll Achieve: End User & AV Support: Provide reliable onsite and remote technical support for Dublin/EMEA employees across hardware, software, connectivity, SaaS tools, conference room AV, and internal events, with clear communication and practical judgment. Employee & Device Lifecycle Operations: Keep employee lifecycle and asset workflows running smoothly day to day, including account provisioning, device preparation, inventory hygiene, procurement coordination, returns, repairs, and deprovisioning. Operational Excellence: Leave EMEA IT Operations stronger than you found it by improving SOPs, Notion resource library content, handoffs, self-service resources, and support practices that scale beyond one person. Workflow Improvement & Automation: Identify and improve at least one recurring support workflow — such as onboarding, offboarding, provisioning, device setup, or self-service — using AI or lightweight automation to reduce manual work and repeat requests. Cross-Functional Collaboration: Partner effectively with Workplace, People, Security, DART, and global IT teams on access, endpoint, and security-adjacent workflows, knowing when to escalate and how to keep employees moving without compromising controls. Skills You'll Need to Bring: Professional fluency in English, with the communication skills to support Dublin employees directly and partner clearly with global teams across time zones. Flexibility to travel occasionally to support distributed EMEA office team members, onsite events, office launches, or hands-on IT needs across the region. Hands-on workplace IT support experience across macOS and Windows laptops, iOS and Android devices, conference room AV, peripherals, and core networking concepts such as TCP/IP, DHCP, DNS, Wi-Fi, and VPN. Experience supporting SaaS, identity, collaboration, and endpoint management tools such as Okta, Google Workspace, Slack, Microsoft 365, Intune, Fleet, and other similar systems. Understands ITSM principles and has familiarity with ticketing tools such as ServiceNow, Atlassian, Zendesk, or Notion. Strong operational judgment around access, endpoint hygiene, documentation, IT compliance, and security-minded escalation with Corp Security, DART, or global IT partners. A service-oriented, low-ego, and self-directed approach; you communicate clearly, follow through reliably, and turn repeated requests into better documentation or cleaner workflows. Comfort using AI-assisted resources or lightweight automation to improve support quality, reduce manual work, and keep knowledge current. Nice to Haves: Experience at a fast-growing tech or AI company where the security program had to outpace headcount. Experience building internal tooling or automation workflows that improved employee experience. Experience with Git or GitHub and an interest in learning to code. Experience working in an Infrastructure as Code team environment. Additional European language fluency or experience supporting distributed EMEA teams. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team OpenAI for Financial Services is part of OpenAI's Verticals organization, which focuses on accelerating the economy and knowledge work. We build AI products for financial institutions and the professionals who power them, from investment bankers and research analysts to investors and other financial services teams. We combine OpenAI's models, financial data, and enterprise knowledge to help professionals research companies, analyze markets, and produce high-quality work in the tools they use every day. We're a small, entrepreneurial team working closely with customers and partners across research, product, design, engineering, and go-to-market to bring new capabilities from idea to production. About the Role We're looking for full-stack engineers to build new, AI-native products on top of ChatGPT Work and Codex. This is zero-to-one work: you'll help define how financial professionals research, analyze, and make decisions alongside AI. You'll own the experience across the stack, work directly with customers to understand their workflows, and collaborate across OpenAI to turn new model capabilities into products that professionals can trust. Your work will shape how some of the world's largest financial institutions adopt AI and how financial knowledge work gets done. In this role, you will: Build a new financial services app within ChatGPT Work and Codex, creating intuitive AI-native experiences for company research, financial analysis, document review, and professional work products. Develop new product experiences around enterprise memory that learn from an organization's knowledge, workflows, and context, and adapt to how its teams work. Develop the APIs, services, and integrations required to connect user experiences with financial data providers, enterprise systems, and OpenAI's models. Work closely with product and design to turn ambiguous customer problems into polished, useful, and reliable products. Work directly with financial institutions to understand customer needs, unblock deployments, and turn feedback into meaningful product improvements. Partner with research, security, infrastructure, and other engineering teams to take new capabilities from early prototype to scaled production. You might thrive in this role if you have: 5+ years of professional software engineering experience, with a strong track record of building and shipping production software across the stack. Expertise in TypeScript, React, and modern web technologies, along with strong experience building backend services in languages such as Python, Go, Rust, or TypeScript. Experience designing and building complex product interfaces, APIs, and integrations that work together as a cohesive user experience. Strong product instincts and the ability to move from an ambiguous customer problem to a practical, well-engineered solution. Comfort working across the stack and organizational boundaries when that is what it takes to ship a great product. A high bar for usability, reliability, security, and performance, particularly in enterprise or other high-trust environments. Interest in AI and how model capabilities can be applied to complex professional work; direct AI/ML or financial services experience is helpful but not required. Experience as a founder, an early engineer at a startup, or an engineer who has helped build a new product from scratch is a plus. About OpenAI OpenAI 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 Policy At 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.
About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build and grow partnerships across the cybersecurity ecosystem. Reporting to the Cybersecurity Partnerships Lead, you will own a portfolio of cybersecurity technology partners and help them validate, launch, and scale solutions powered by OpenAI models and platforms. About the Role You are an experienced partnerships operator who combines business development, partner management, technical curiosity, and strong execution. You can manage external relationships while driving detailed cross-functional work across product, engineering, technical success, sales, marketing, legal, security, and operations. You move with urgency, follow through consistently, and are comfortable managing a portfolio in a fast-changing market. In this role, you will: Source, close and manage a portfolio of cybersecurity technology partners. Identify high-value use cases across security operations, identity, cloud security, application security, threat intelligence, governance, risk, and compliance. Develop partner plans covering integration, launch, enablement, co-marketing, co-sell, and growth. Support partnership structuring and coordinate product, technical, commercial, legal, and security workstreams. Help partners move from concept and technical validation to production launch and scaled customer adoption. Run regular partner reviews, track commitments, resolve blockers, and identify expansion opportunities. Coordinate closely with product, engineering, technical success, sales, marketing, legal, security, and operations. Measure partner pipeline, launches, model adoption, consumption, customer outcomes, and partner health. You might thrive in this role if you have: 8+ years of experience in partnerships, business development, alliances, partner success, or ecosystem roles. Experience in cybersecurity, enterprise software, cloud platforms, or developer technologies. Proven ability to manage external relationships while independently driving detailed cross-functional execution. Technical curiosity and the ability to discuss APIs, AI models, integrations, security architecture, and enterprise requirements. Clear, effective communication and a track record of building trust with partner and internal stakeholders. Strong operating discipline, urgency, and consistent follow-through across multiple workstreams. Comfort managing a portfolio and making sound tradeoffs in a fast-changing market. About OpenAI OpenAI 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 Policy At 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We’re looking for a Marketing Strategy & Operations Manager based in San Francisco or New York. This person will be the operational backbone of Marketing builds, launches, and measures campaigns, and how leads/accounts are routed, and managed. You'll own the end-to-end of campaign services across templates, QA, deliverability, and execution. You’ll also play a role in the monitoring, debugging and managing any MQL/MQA issues (from creation to handoff to Sales) as they arise. You'll work across many teams across multiple regions (EMEA, AMER), partnering closely with Marketing, SDR leadership, and our agency partners to build scalable processes and tooling that increase pipeline throughput and campaign quality. If you thrive on building systems that bring order to complexity and love bridging the gap between Marketing and Sales, this role is for you. What You'll Achieve: Campaign Operations Establish and maintain campaign templates, standardized QA processes, and reusable campaign architecture in Marketo, customer.io and SFDC. Own the Campaign object in SFDC — including campaign member status designations, naming conventions, and data hygiene standards. Build, test, and launch campaigns end-to-end in marketing platforms and SFDC — while continuously optimizing processes and standards for speed and quality. Manage email deliverability, sender reputation, privacy regulations, and opt-out requirements — with a focus on growing the EMEA marketable database. Lead Management Define MQL/MQA routing rules, making modifications as the business evolves Debug lead and MQA routing issues, ensuring leads flow to the right reps across all segments and regions with minimal manual intervention. Monitor MQL/MQA volumes, conversion rates, and system health — proactively identifying and resolving issues. Skills You'll Need to Bring: 3+ years in marketing operations at a high-growth SaaS company, with hands-on experience in both lead management and campaign execution. Deep working knowledge of marketing automation platforms (Marketo, Customer.io) and Salesforce — you've built programs, routing rules, scoring models, and campaign architectures in these platforms. Strong understanding of the lead lifecycle: MQL definitions, lead routing, attribution, sales handoff, and funnel conversion mechanics. Ability to work cross-functionally with SDRs, Demand Gen, and RevOps — you're comfortable navigating stakeholder alignment across teams. Familiarity with email deliverability best practices and data privacy regulations Analytical mindset with the ability to monitor performance data, diagnose issues, and recommend process improvements. Track record of building and maturing operational processes — you've taken things from scrappy to scalable. Experience working in a high growth company, and across multiple timezones. Nice to Haves: Familiarity with Notion and its applications in business workflows. Experience with campaign performance reporting in tools like Hex or Tableau. Comfortable with SQL Exposure to lifecycle or product-led growth marketing operations. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $190,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through strategic partnerships and self-built campuses, we are scaling one of the world's fastest-growing AI infrastructure platforms. The Supply Chain organization ensures critical infrastructure components—from compute systems and networking equipment to integrated rack solutions—are sourced, manufactured, qualified, and delivered with the speed and reliability required to support frontier AI development. We partner closely with Hardware Engineering, Manufacturing Quality Engineering, Infrastructure Delivery, Hardware Operations, Finance, and suppliers worldwide to build a resilient, scalable supply chain capable of supporting rapid infrastructure expansion. As Industrial Compute continues to grow, Supply Chain serves as the operational bridge between engineering innovation and large-scale infrastructure deployment. About the Role We are seeking a Supply Chain Manager to lead strategic execution across sourcing, supplier operations, manufacturing quality, and infrastructure delivery for OpenAI's AI infrastructure portfolio. This role will oversee a multidisciplinary team responsible for strategic sourcing, manufacturing quality engineering, and technical program management while partnering closely with engineering, finance, hardware operations, and deployment teams. You will drive supplier strategy, manufacturing readiness, production planning, quality performance, and operational execution across the full hardware lifecycle. Success requires balancing long-term supplier strategy with day-to-day execution. You'll establish scalable operating mechanisms, strengthen supplier partnerships, manage complex cross-functional programs, and ensure OpenAI can rapidly deploy AI infrastructure without compromising quality, cost, or reliability. This is a people leadership role responsible for developing a high-performing organization while driving operational excellence across OpenAI's infrastructure supply chain. Key Responsibilities Lead and develop teams responsible for Strategic Sourcing, Manufacturing Quality Engineering, and Supply Chain Program Management. Own supplier strategy across compute, networking, storage, and infrastructure hardware. Establish long-term sourcing strategies that improve resilience, scalability, cost, and supplier performance. Partner with Hardware Engineering to ensure supply chain strategies align with future hardware roadmaps and product introductions. Drive manufacturing readiness, supplier quality, production ramp planning, and operational readiness across multiple hardware programs. Build executive operating reviews tracking supplier performance, manufacturing readiness, deployment risk, quality metrics, and supply continuity. Lead supplier executive relationships, contract execution, and operational governance with key manufacturing partners. Partner with Finance, Capacity Planning, Infrastructure Delivery, and Hardware Operations to align hardware availability with deployment schedules. Develop scalable operational processes supporting rapid infrastructure expansion across multiple regions. Drive continuous improvement across sourcing operations, manufacturing quality, supplier performance, and infrastructure delivery execution. Qualifications Bachelor's degree in Engineering, Supply Chain, Operations, Business, or equivalent practical experience. 10+ years of experience leading technical supply chain, sourcing, manufacturing operations, or infrastructure delivery organizations. Experience managing multidisciplinary technical teams. Experience developing supplier strategies for complex hardware or infrastructure products. Strong executive communication and cross-functional leadership experience. Experience leading global supplier relationships and contract execution. Preferred Skills Experience supporting hyperscale infrastructure, cloud platforms, or AI hardware deployments. Background in servers, networking, storage, accelerators, or large-scale infrastructure hardware. Experience with ODM/JDM manufacturing models. Knowledge of manufacturing quality systems and supplier quality engineering. Experience managing new product introduction (NPI) and production ramp programs. Familiarity with hardware lifecycle management from design through deployment. Experience supporting rapidly scaling infrastructure organizations. About OpenAI OpenAI 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 Policy At 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.
About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. Our team develops the operating model that connects infrastructure strategy, supply planning, manufacturing operations, and delivery into a single, integrated system that enables OpenAI to deploy AI infrastructure predictably at scale. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Strategic Sourcing, and external infrastructure partners to create a single, integrated view of program health. Through governance, operational analytics, executive reporting, and scalable operating mechanisms, we enable leaders to proactively manage risk, optimize capacity, and deliver infrastructure predictably at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive integrated strategy and delivery across OpenAI's rapidly expanding AI infrastructure portfolio. This role sits at the intersection of infrastructure strategy, New Product Introduction (NPI), supply planning, manufacturing operations, and infrastructure delivery. You will lead highly cross-functional programs spanning engineering, supply planning, manufacturing, logistics, construction, commissioning, and operations, ensuring technical and operational dependencies remain synchronized from planning through production readiness. Beyond driving program execution, you will leverage operational insights to improve capacity planning, infrastructure strategy, and deployment readiness. You will also help operationalize new technologies and suppliers by partnering with Engineering, Strategic Sourcing, and Supply Chain to successfully transition new infrastructure platforms into production. Success in this role requires exceptional program management, systems thinking, executive communication, and the ability to translate complex technical and operational information into clear decisions and scalable operating mechanisms. Key Responsibilities Lead end-to-end delivery of large-scale AI infrastructure programs from early planning through operational handoff. Analyze infrastructure capacity, manufacturing capability, and supply availability to develop strategic recommendations that inform supply planning, deployment sequencing, and infrastructure investment decisions. Partner with Engineering, Strategic Sourcing, and Supply Chain to operationalize New Product Introduction (NPI), ensuring new technologies, suppliers, and infrastructure platforms transition successfully into production and deployment. Develop and maintain integrated program plans that align engineering, manufacturing, logistics, construction, commissioning, and operations into a single source of truth. Proactively manage dependencies, critical path, execution risks, and recovery plans across internal teams and external infrastructure partners. Partner with Strategic Sourcing, Supply Chain, suppliers, and manufacturing partners to assess production readiness, manufacturing performance, logistics, and deployment readiness while proactively identifying operational risks. Design governance models, operating mechanisms, dashboards, KPIs, and executive reporting that improve visibility, predictability, and data-driven decision making. Translate complex technical, operational, and business challenges into concise executive communications, strategic recommendations, and actionable decisions. Continuously improve Infrastructure Delivery Operations' operating model, planning processes, and delivery methodologies to support OpenAI's rapidly expanding infrastructure portfolio. Qualifications 8+ years leading complex technical programs, infrastructure delivery initiatives, or large-scale operational programs. Experience leading highly cross-functional programs spanning engineering, manufacturing, supply chain, logistics, construction, infrastructure operations, or New Product Introduction (NPI). Strong understanding of integrated program management, dependency management, critical-path planning, and risk mitigation. Working knowledge of electrical and mechanical infrastructure systems, including critical power and cooling equipment commonly deployed within hyperscale data centers (e.g., switchgear, transformers, generators, UPS systems, cooling systems, and related infrastructure). Experience supporting supply planning, manufacturing operations, supply chain operations, or deployment planning for complex infrastructure programs. Experience developing executive dashboards, governance mechanisms, operational KPIs, forecasting models, and scalable program management frameworks. Strong systems-thinking and analytical skills with the ability to connect technical, operational, manufacturing, and business dependencies across complex infrastructure programs. Experience influencing senior technical and business stakeholders without direct organizational authority. Excellent written and verbal communication skills with demonstrated experience presenting to executive audiences. Ability to manage multiple concurrent, high-priority programs in a fast-paced, ambiguous environment. Preferred Skills Experience delivering hyperscale AI infrastructure, cloud infrastructure, data centers, semiconductor manufacturing, or other large-scale industrial infrastructure programs. Experience supporting New Product Introduction (NPI), product industrialization, production ramp, or operational readiness for hardware or infrastructure systems. Experience working with OEMs, suppliers, manufacturing partners, EPCs, utilities, cloud providers, developers, or other external infrastructure partners. Experience coordinating engineering development through manufacturing, supply planning, logistics, construction, commissioning, and operational deployment. Experience developing governance frameworks, operational analytics, executive reporting, and scalable operating mechanisms within rapidly growing organizations. PMP, PgMP, Agile, or equivalent program management certifications are a plus but not required. About OpenAI OpenAI 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 Policy At 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.
About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. We work closely with hardware design teams, manufacturing partners, suppliers, and data center operations to deliver the compute platforms that power frontier AI. The Manufacturing Engineering team ensures our hardware can be built, tested, deployed, and supported at hyperscale. We bridge Hardware Engineering, Quality, Supply Chain, Contract Manufacturers, and Hardware Operations to continuously improve manufacturing performance throughout the product lifecycle. As our fleet grows globally, sustaining manufacturing engineering becomes increasingly important to maintain product quality, improve manufacturability, and rapidly resolve production issues. About the Role We are seeking a PCBA Manufacturing Engineer (Sustaining) to support production and continuous improvement of printed circuit board assemblies (PCBAs) used throughout Industrial Compute hardware platforms. This role focuses on sustaining engineering after product launch. You'll partner closely with Hardware Design, Quality, Manufacturing, Test Engineering, Supply Chain, and our contract manufacturers to resolve production issues, improve manufacturing yield, reduce failures, implement engineering changes, and ensure stable high-volume manufacturing. The ideal candidate has experience supporting complex server, networking, accelerator, storage, or high-performance electronics manufacturing environments. Key Responsibilities Own sustaining manufacturing engineering for PCBA production across multiple hardware platforms. Drive root cause investigations for manufacturing defects, field failures, and production escapes. Partner with Hardware Design Engineers to improve manufacturability (DFM/DFA/DFT). Support engineering change orders (ECOs) and manufacturing change implementation. Work directly with contract manufacturers to improve production yield, cycle time, and quality. Analyze manufacturing data to identify recurring process issues and improvement opportunities. Develop corrective and preventive actions (CAPA) for manufacturing and supplier quality issues. Support failure analysis activities including electrical, functional, and process investigations. Improve manufacturing documentation, work instructions, assembly processes, and test procedures. Collaborate with Test Engineering to improve production test coverage and manufacturing diagnostics. Support supplier qualification, process validation, and manufacturing readiness for design revisions. Travel to manufacturing partners as needed to support production and issue resolution. Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or related field. 5+ years supporting high-volume PCBA manufacturing. Experience with SMT manufacturing, PCB fabrication, and electronic assembly processes. Strong understanding of manufacturing process control, yield improvement, and statistical analysis. Experience performing root cause analysis using methodologies such as 8D, 5 Why, Fishbone, or FMEA. Experience working with contract manufacturers and global supply chains. Ability to interpret schematics, BOMs, assembly drawings, and manufacturing documentation. Excellent cross-functional communication and project management skills. Preferred Skills Experience with server, accelerator, networking, storage, or AI hardware platforms. Familiarity with ICT, Flying Probe, Boundary Scan, Functional Test, and System-Level Test. Experience supporting high-speed PCBAs involving GPUs, CPUs, memory, PCIe, Ethernet, or high-speed interconnects. Knowledge of IPC standards (IPC-A-610, IPC-6012, IPC-7711/7721). Experience with manufacturing execution systems (MES), PLM systems, and engineering change management. Enjoy solving complex manufacturing problems using data and structured root cause analysis. Like working directly with manufacturing partners and factory teams. Can bridge hardware design and manufacturing execution. Have strong troubleshooting skills across electronics, assembly processes, and production testing. Enjoy continuous improvement and process optimization. Are comfortable balancing technical depth with fast operational execution. About OpenAI OpenAI 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 Policy At 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energised by outbound that actually means something, this is the role for you. What You'll Achieve Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion Skills You'll Need to Bring Business fluency in English Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations Passion for AI/ML and understanding of API-first or consumption-based business models High-activity mindset with the discipline to prioritise based on signal and data, not just volume You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. Nice to Haves Experience with Salesforce, Outreach, or similar GTM tooling Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software Background in a high-velocity, metric-driven outbound environment with clear pipeline targets By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a polished, editable artifact with strong structure, taste, correctness, and speed. This is a high-agency team working across product, infrastructure, and research. We partner closely with model training teams to shape how frontier models create artifacts, and with ChatGPT product teams to turn those capabilities into experiences that millions of people can use. The work spans full-stack product engineering, model integration, rendering and editing systems, collaboration, storage, evaluation loops, and production reliability. Our ambition is to build the premier product experience for AI-generated artifacts: starting with familiar work products like slides, sheets, and docs, then expanding into new artifact types that are only possible in an AI-native world. About the Role As Engineering Manager, Artifacts, you will lead and grow the engineering team responsible for building this product and technical foundation. You will manage a team of full-stack and infrastructure-oriented engineers, set technical direction, and stay hands-on enough to shape architecture and debug hard problems. This role sits at the intersection of product engineering, research, and infrastructure. You will partner with researchers on how models are trained and evaluated for artifact creation, with product and design on the user experience. This is a strong fit for a technical manager who wants to build and ship, not only coordinate. The team has a fast trajectory, so you will help define both the product surface and the team that builds it. In this role, you will: Lead, manage, and grow a team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging artifact formats. Set technical direction across full-stack product systems, generation orchestration, editing and rendering surfaces, storage, reliability, and model integration. Responsible for hands-on architecture, code review, debugging, system design, and critical product decisions. Partner closely with research teams to translate model capabilities, training needs, evals, and behavioral insights into shipped product improvements. Work with product, design, infrastructure, and safety partners to define what excellent artifact creation should feel like for users. Create the engineering plan for the next phase of the team, including hiring, execution milestones, technical investments, and operating cadence. Balance near-term product velocity with long-term platform quality, reliability, extensibility, and developer productivity. Debug complex failures across model behavior, product surfaces, infrastructure, latency, and user-facing quality. Help expand the team’s scope from familiar artifact types into new forms of AI-native work products. You might thrive in this role if you: Have experience leading engineering teams while remaining technically close to the work. Have strong full-stack product engineering fundamentals and can reason across frontend, backend, infrastructure, and model-facing systems. Are excited by AI-native creation tools and have opinions about what makes documents, slides, spreadsheets, dashboards, and interactive artifacts genuinely useful. Can operate in ambiguous, fast-moving environments where the product, model capability, and technical architecture are all evolving at once. Have experience partnering with research, ML, product, design, infrastructure, or data teams. Care about craft, quality, latency, reliability, and user experience, not just whether a system technically works. Have strong judgment about when to build product-specific systems versus reusable platform foundations. Learn quickly, communicate clearly, and bring enough technical depth to raise the bar for the team. Desire to help define and own a new category of AI-native work. About OpenAI OpenAI 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 Policy At 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.
About the Team OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS . The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration. You’ll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn’t working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You should enjoy working with external technical partners, extracting the real goal from messy requests, and pushing back or reframing when the requested experiment is not the highest-leverage path. You’ll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time. In this role, you will Partner with strategic customers and internal teams to define target model behaviors, diagnose failure modes, and translate real-world needs into training, evaluation, and system requirements. Build and scale production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows. Design, run, and interpret experiments to see whether training and customization workflows are producing the intended outcomes, and identify changes to data, evaluation, training, or infrastructure that improve performance. Partner with backend and infrastructure engineers to integrate ML capabilities into AWS-native API environments. Feed learnings from partner deployments back into the platform by proposing and implementing improvements to post-training systems, tooling, APIs, and developer workflows. Work closely with Research and Applied teams to bring model improvements, training workflows, and evaluation best practices into production. Help design systems that allow strategic partners and enterprise customers to safely customize OpenAI models for high-value use cases. Debug and improve complex systems spanning model behavior, training data, APIs, distributed infrastructure, and customer-facing product surfaces. Operate with high ownership in a 0→1 environment where requirements are ambiguous, systems are evolving quickly, and reliability matters. Your background might look something like: Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience. 3+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles. Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems, with hands-on experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow. Hands-on experience with training and fine-tuning large language models, including methods like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques. Strong software engineering fundamentals, including data structures, algorithms, systems design, and high-quality production code in Python, Rust, or similar languages. Experience with model customization, evaluation systems, data pipelines, distributed systems, cloud infrastructure, or production ML platform tradeoffs. Ability to operate across model behavior, APIs, and infrastructure, while collaborating closely with Research, Safety, product engineering, infrastructure, and external technical partners. Comfort moving quickly through ambiguity, owning problems end-to-end, and learning whatever is needed to get the job done. About OpenAI OpenAI 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 Policy At 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.