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Solutions Architect, AI/Cloudflare Developer Platf...
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Austin, TX or San Francisco, CA Solution Architect, AI / Cloudflare Developer Platform As a Solution Architect, Cloudflare AI / Developer Platform and a member of the sales team, you will help customers understand the value proposition of the Cloudflare Developer Platform and demonstrate how to effectively build applications with our products. Every day as a Solution Architect is different. You will utilize both technical and business skills to advise customers and sales teams, support strategic opportunities, architect innovative solutions, and develop proofs of concept / demonstrations. Your technical knowledge of Cloudflare’s products and system design will be vital to designing solutions that meet our customers’ needs and expectations. Serving as a trusted technical advisor, Solution Architects guide and enable clients, partners, and teams within Cloudflare on product capabilities, positioning and competitive intelligence. You will form a tight feedback loop with product, product marketing, and technical pre-sales to refine and evolve our products. The ideal candidate possesses a consultative mindset, demonstrable success working with customers, and deep, practical knowledge of modern web technologies, cloud architecture, and experience building on a distributed serverless platform. No matter your background, you have natural curiosity and desire to solve problems, achieve goals, and design the most elegant and efficient solutions to address client needs. A successful Solution Architect at Cloudflare is able to act as a trusted advisor for our customers, while balancing the technical and business needs of the role – actively building and regularly presenting technical solutions to varied audiences. Responsibilities - Partner with the sales organization to drive revenue, new customers and pipeline of AI and Developer Platform solutions. - Lead technical discovery with customers and jointly architect best practice solutions to meet customer needs. - Collaborate with cross-functional teams including product management, sales, and marketing to drive developer platform revenue and customer adoption. - Present to strategic customers as an expert of our Developer Platform solutions. - Align Director and C-Level perceived business and technical value with Cloudflare developer solutions. - Provide succinct feedback to cross-functional teams to deliver relevant Developer content, use cases, customer stories, and data driven value propositions. Skill Requirements - 5+ years of experience selling or supporting technical sales in the cloud computing industry. - Deep technical expertise across cloud infrastructure and AI/ML — you have built production systems that combine both as a solutions engineer, entrepreneur, or solution architect. - In-depth knowledge of at least one major public cloud provider (e.g., AWS, GCP, Azure). - Practical knowledge and experience designing systems. You have built and deployed a production web application either professionally or as a hobbyist and are able to clearly articulate the design and explain the considerations / trade-offs. You are able to hear a clear, non-technical description of an application, ask clarifying questions, and quickly design a high-level, conceptual architecture. - Software development experience delivering full-stack applications, preferably using modern JavaScript frameworks, a variety of databases, and Serverless tooling. Experience building with modern coding assistants. - Strong understanding of developer workflows (branching, versioning, CI/CD practices, system integrations). - Knowledge of key market players/competitors in the cloud computing, AI and storage spaces. - Up to 30% travel. Other desirable skills areas include: - You’ve built something on Cloudflare Workers. - AWS Solutions Architect or GCP Cloud Architect certifications. - Providing structured customer feedback to influence product direction. - Actively stay up-to-date with industry trends and advancements in cloud computing to inform product strategy and roadmap. Compensation Compensation may be adjusted depending on work location. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. For Bay Area based hires: Estimated annual salary of $245,000.00 - $305,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Lifecycle Marketing Manager, SMB Ads
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are seeking a Lifecycle Marketing Manager to build, own, and lead lifecycle programs for SMB advertisers at OpenAI. This is a zero-to-one opportunity to establish the strategy and programs that guide businesses from initial interest and their first campaign to sustained success and growth. You will set the lifecycle strategy, own the program roadmap and performance goals, and lead delivery from customer insight and journey design through launch, measurement, and iteration. Combining behavioral insights, experimentation, and personalized engagement across email, product experiences, education, and other channels, you will build programs that scale with the business. Success requires independent judgment, analytical depth, cross-functional leadership, and hands-on execution. In This Role, You Will - Own the lifecycle program portfolio across prospect conversion, activation, retention, repeat spend, reactivation, and expansion. - Map advertiser journeys using cohort analysis, product behavior, campaign performance, and customer feedback to identify high-impact growth opportunities. - Build segmented, triggered journeys that connect advertiser needs, intent, readiness, and behavior to relevant messages and next steps. - Lead prospect nurture and email acquisition programs. Coordinate audiences, retargeting, and conversion experiences with Growth Marketing. - Launch onboarding and education programs that help advertisers create campaigns, understand performance, adopt capabilities, and grow their investment. - Coordinate delivery across email, in-product and onsite experiences, retargeting, education, and sales engagement with channel and product teams. - Test audiences, messaging, channels, timing, frequency, and offers. Use holdouts and downstream results to measure incremental customer impact. - Define data signals, segmentation, instrumentation, automation, and measurement with Data Science, Marketing Operations, prospect intelligence teams, and Ads Engineering. - Maintain high standards for journey quality, contact frequency, suppression, consent, and deliverability with operations and privacy partners. - Improve activation, time to first campaign, retention, repeat spend, reactivation, and expansion. Scale effective programs and use AI to accelerate content, personalization, and analysis. You Might Thrive in This Role If You - Demonstrate a track record of building and leading lifecycle programs from strategy through execution, with measurable activation, retention, or customer-growth results. - Translate customer behavior into effective engagement strategies through customer empathy, clear communication, and disciplined prioritization. - Build behavioral segmentation and triggered programs using product and customer signals across multiple channels. - Apply cohort analysis, funnel diagnostics, retention measurement, and experimental design to distinguish engagement from incremental customer outcomes. - Bring hands-on experience with CRM and marketing automation platforms, such as Marketo or comparable tools, including journey logic, personalization, and quality assurance. - Lead cross-functional programs with Product, Engineering, Data Science, Sales, and Marketing Operations, aligning priorities and driving delivery. - Set strategy and launch programs in fast-moving environments while establishing repeatable processes and reliable measurement. - Bring experience with SMBs, self-serve products, advertising, SaaS, marketplaces, fintech, or other high-volume customer journeys. Use AI thoughtfully to improve personalization and execution. Preferred Qualifications - Experience building lifecycle programs for SMB advertisers or self-serve advertising platforms. - Track record launching onboarding and education programs that accelerate first campaign creation and repeat spend. - Experience connecting email, in-product messaging, retargeting, and sales engagement into coordinated customer journeys. - Experience using holdout tests and cohort analysis to measure incremental retention and revenue impact. - Hands-on experience establishing behavioral triggers, automation, and measurement for new lifecycle programs. - Experience applying AI to improve personalization, content development, and campaign analysis. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. 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.
Audience & Content Growth Lead, SMB Ads
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are looking for an Audience & Content Growth Lead to build the global content and education programs that inspire, inform and engage SMB advertisers. This is a zero-to-one opportunity to shape how small businesses discover and understand advertising with OpenAI. You will turn customer needs, product capabilities and advertiser success stories into compelling content—from webinars and educational video series to case studies, industry-specific playbooks and creator-led programs. The role combines two areas of ownership: developing content specifically for SMB audiences and building effective ways to distribute it. You will lead programs directly while partnering with teams that own web, social, lifecycle marketing, growth and regional channels to reach the right audiences at scale. Success means building an engaged SMB audience and helping businesses move from awareness to understanding, confidence and action. In This Role, You Will - Set the global SMB content strategy and editorial roadmap, grounded in customer needs, industry priorities, and advertiser maturity. - Create compelling customer stories, case studies, vertical playbooks, guides, videos, and thought leadership that make advertising accessible and actionable. - Launch repeatable education programs through webinars, expert sessions, workshops, and on-demand learning that help businesses get started and improve their advertising. - Grow audiences through owned, shared, and partner channels. Build distribution plans with web, social, growth, lifecycle, and regional teams. - Develop creator-, expert-, and customer-led programs that combine credible education, authentic storytelling, and relevant audience reach. - Scale programs across markets with regional teams. Adapt formats, languages, customer stories, and distribution to local needs. - Lead editorial planning, production, agencies, and creative contributors. Maintain quality, accessibility, and accuracy, using AI to support content creation, adaptation, and reuse. - Measure audience quality, engagement, learning, and advertiser action with Growth, Lifecycle, and Data Science. Use experiments and feedback to improve content and distribution. You Might Thrive in This Role If You - Bring 10+ years of experience in content marketing, audience development, or customer education, including programs for SMBs or advertisers. - Demonstrate ownership of content creation and distribution that grows relevant audiences and drives customer action. - Translate complex products into clear, engaging content through strong editorial judgment and storytelling. - Build repeatable programs across formats such as webinars, video, customer stories, vertical playbooks, and creator-led content. - Lead cross-functional and partner-led distribution, aligning teams around shared priorities and measurable outcomes. - Measure learning, intent, and business impact alongside content consumption. - Adapt global programs to different markets and audiences in partnership with regional teams. - Combine strategy with hands-on writing, editing, creative briefing, and program execution. Preferred Experience - Bring experience with advertising platforms, marketplaces, or technology businesses serving SMBs. - Build on experience in advertiser education, customer advocacy, creator partnerships, or partner-distributed learning. - Draw on experience in both established technology organizations and startup or zero-to-one environments. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. 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.
Scaled Programs Lead, SMB Ads
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are looking for a Scaled Programs Lead to build and scale global programs that engage SMB-focused agencies and other partners helping small and medium-sized businesses grow. This is a zero-to-one opportunity to shape how these audiences discover, understand and adopt OpenAI’s advertising solutions. You will develop programs that build awareness, recruit participants, strengthen their capabilities and help them bring the advertising opportunity to their SMB customers. Your remit will span audience segmentation, recruitment campaigns, education, certification, incentives and co-marketing. You will design and launch new programs, validate their impact and scale the approaches that deliver meaningful results. Working across Marketing, Partnerships, Sales, Product and Operations, you will combine strategic judgment with hands-on execution. As the programs grow, you will build and lead a team to expand them globally. In This Role, You Will - Set the global program strategy for SMB-focused agencies and scaled partners, defining priority audiences, growth goals, and investment choices. - Build awareness and recruit qualified participants through campaigns and outreach that demonstrate the value of OpenAI’s advertising solutions. - Segment agencies and partners by capabilities, needs, and growth potential. Design program tiers, incentives, and benefits that support their success. - Develop education, training, webinars, certification, badging, and content that help participants serve SMB advertisers effectively. - Launch repeatable co-marketing programs, joint campaigns, events, and reusable toolkits that reach SMB audiences through participating agencies and partners. - Pilot programs and measure participation, activation, advertiser growth, and economics. Scale effective approaches and refine or retire underperforming programs. - Lead cross-functional delivery and adapt programs across markets. Build the team and operating capabilities needed for global scale. You Might Thrive in This Role If You - Demonstrate success building and scaling programs for SMB-focused agencies or other partners serving small businesses. - Set program strategy using audience segmentation, customer insight, and commercial analysis. - Bring experience developing participant recruitment, education, enablement, or co-marketing programs. - Translate program goals into pilots, measurable outcomes, and repeatable approaches that scale. - Lead cross-functional initiatives with marketing, sales, partnerships, product, and operations teams. - Adapt programs across markets while balancing global consistency with local needs. - Combine hands-on program building with the ability to hire, develop, and lead a team. Preferred Qualifications - Experience building agency or partner programs for digital advertising platforms serving SMBs. - Track record launching programs that drive advertiser acquisition, activation, retention, or investment. - Experience designing partner tiers, certifications, incentives, and benefits. - Success developing scalable co-marketing campaigns, education programs, and partner toolkits. - Experience using program economics and experimentation to guide investment and growth. - Experience expanding partner programs globally and adapting them to local markets. Workplace & Location - San Francisco or New York . This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. 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.
Lead, Ads Prospecting & Customer Intelligence
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will - Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. - Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent. - Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement. - Design enrichment and verification workflows. Evaluate in-house capabilities, platforms, vendors, APIs, AI, and human review to select effective solutions. - Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential. - Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation. - Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals. - Build feedback loops that use outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions. - Measure data quality, coverage, targeting accuracy, deliverability, conversion, and incremental value. Establish permissions, suppression, auditability, and provider-performance standards. You Might Thrive in This Role If You - Bring substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology. - Demonstrate ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes. - Apply strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery. - Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements. - Design practical solutions with marketers and sales teams, grounded in their campaign and customer workflows. - Explore data and test ideas with tools such as analytics platforms, SQL, APIs, automation, or AI-assisted prototyping. Production engineering experience is not required. - Evaluate build, buy, and integration choices across CRM, marketing automation, customer data platforms, and campaign-execution systems. - Lead a small team and build alignment with senior cross-functional partners. - Apply sound judgment to privacy, consent, deliverability, data rights, governance, and customer trust. - Bring relevant experience in advertising, SMB or self-serve businesses, product-led SaaS, marketplaces, commerce, fintech, enterprise go-to-market, or other multi-segment customer journeys. Preferred Qualifications - Experience building prospecting or customer intelligence platforms for advertising, SMB, or self-serve businesses. - Track record combining customer and intent data to improve targeting and conversion. - Experience deploying enrichment, scoring, and next-best-action models across marketing and sales. - Experience integrating data vendors, CRM, marketing automation, and customer data platforms. - Hands-on experience using SQL, APIs, automation, or AI to validate growth solutions. - Experience building feedback loops and governance practices that improve performance, data quality, and trust. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. 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.
Staff Software Engineer, Search
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: - Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch - Establish metrics and tooling to measure and improve search quality - Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: - 5+ years building complex distributed systems in production - Solid grasp of search fundamentals: indexing, retrieval, ranking - Strong coding skills in Python, Go, Java, or similar languages - Hands-on experience with high-volume data processing architectures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Recruiting Coordinator [fixed-term contract...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Recruiting Coordinator at Anthropic, you'll be the go-to on: owning end-to-end coordination, serving as the subject matter expert on pipeline health and capacity, and supervising the scheduling automation, including deciding when a candidate needs a human instead of the automated path. Beyond scheduling, you'll partner directly with Recruiters, Sourcers, and Recruiting Managers to drive process improvements, own the escalation path, and ensure seamless coverage across your pod. You'll lead coordination projects as needed from problem to adopted solution, and help define what this role becomes as tooling evolves. Responsibilities - Automation Supervision: Run the scheduling tools for your pod. Set them up, check their output before candidates see it, and decide when a loop needs a human touch instead of the automated path. Every intervention is a judgment call you own. - Pipeline & Capacity: Serve as the subject matter expert on your pod's pipeline. Work directly with Recruiters, Sourcers, and Recruiting Managers to surface bottlenecks, flag capacity concerns, and recommend what moves first when things are tight. - Complex Scheduling: Own the high-stakes scenarios end to end: changes, cancellations, and rescheduling decisions, made independently while keeping stakeholders informed. - Escalations: Own the escalation path for your pod. When interview plans arrive incomplete, scorecards lag, or declines pile up, you flag the pattern and drive it to resolution with your manager behind you. - Project Work: Own projects end to end, from problem to adopted solution. - Coverage: Coordinate coverage across your pod during absences and surges so candidates never feel the gap. - Candidate Experience: Keep the experience high-touch and warm, including the recovery when the automation gets something wrong. You're the point of contact who can always say where things stand. You may be a good fit if you have - 4+ years of experience in recruiting coordination, with demonstrated experience in high-volume complex scheduling environments - Hands-on fluency with AI tools in your daily work, and the judgment to know when to trust the output and when to override it - Proven ability to own and improve processes, with examples of leading projects or initiatives that drove measurable impact - Strong partnership skills: you know how to work alongside Recruiters, Sourcers, and Hiring Managers as a collaborative, trusted advisor - Excellent judgment and the ability to make independent decisions on scheduling changes and prioritization - Clear, professional communication skills with a talent for keeping multiple stakeholders aligned - Comfort with ambiguity and a proactive approach to problem solving. You don't wait to be told what to do - A genuine interest in Anthropic's mission and our deep commitment to AI safety Work Details & Compensation - Base salary: £75,000 annually (non-negotiable) - Duration: 12 month fixed-term opportunity - Location: Remote - Employment: Directly through Anthropic - Benefits: Anthropic benefits, no equity during the term The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £75,000 - £75,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Associate Field Engineer
About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team/Role: This is intended to be an entry level role for new grads/early career professionals. As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role. Responsibilities: - Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value. - Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals. - Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion. - Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem. - Build processes and capture knowledge to scale and automate support, success, and outreach initiatives. - Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations. - Provide feedback and contribute as a developer to all elements of the customer experience—from tooling and integrations to documentation and internal workflows. Requirements: - BS in Computer Science or a related technical field or equivalent experience. - Strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations. - Ability to communicate complex technical concepts to both technical and non-technical audiences. - Familiarity with the concepts of embeddings, similarity search, recommendation systems, and RAG. - Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions. - Proficiency in one or more popular programming languages (Python, JavaScript). Bonus Points: - Experience with Datadog or similar monitoring tools. - Experience working with cloud platforms (AWS, GCP, Azure). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Forward Deployed Engineer (FDE) - SF
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high 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.
Forward Deployed Engineer (FDE) - Seattle
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high 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.
Strategic Projects Lead, Recruiting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Strategic Projects Lead to take on recruiting's most complex, cross-cutting work: the high-stakes decisions and initiatives that span many teams and don't fit neatly into any one group's remit. You'll bring the structure, coordination, and follow-through that help these get made well, and see them through as the company scales. You'll work across every team that touches hiring, and you'll move work forward through partnership, not ownership. The job is influence: bring the right people together, make sure decisions are principled and well-documented, and keep recruiting's approach coherent over time. You'll be the most senior individual contributor for how recruiting operates, and success depends as much as on building trust across senior stakeholders with different priorities as it does on building good systems. This is a high-autonomy role for someone who thrives in complexity and ambiguity. You know recruiting well enough to feel where it breaks, and you're energized by holding several very different problems at once and driving each to a clear resolution. Key responsibilities - Take on recruiting's biggest ambiguous bets: define the problem, ship the smallest testable version, and hand each one off as a repeatable program before moving to the next - Own the operating rhythm across the teams that support recruiting, so we plan, review, and decide as one function - Spot recurring friction and fix the system behind it, not just the case in front of you - Own process design when company-wide changes run through recruiting, and drive them to real adoption with the partners who own the build and the comms - Be recruiting's DRI for headcount and workforce planning, including hiring pace and readiness for new regions - Own the operating standard for interviewing, like scheduling lead time and interviewer load, and lead the cross-team diagnosis when it slips - Turn analytics into standards and simple SOPs, and build documentation a new leader could pick up without you in the room - Keep the right people informed at the right time without becoming a bottleneck, and stay fluent in our recruiting systems and data so you can call the downstream impact of any decision You'll partner directly with the leads for Recruiting Systems, Analytics, Interview Programs, and other teams. You won't run their teams or build their systems, but you'll know each well enough to make calls that hold up across all of them. Minimum qualifications - Have 8-10+ years in program management, business operations, chief of staff, or people/talent roles at a fast-growing company, with increasing scope over time - Have been part of a talent team or partnered closely with one, and understand how recruiting operates day to day - Think in systems: you see how the pieces connect, anticipate downstream effects, and design fixes that work across team boundaries - Have owned several complex workstreams at once and made hard prioritization calls without much guidance - Set the strategy and vision for your area rather than executing someone else's plan - Create structure and clarity in genuinely ambiguous environments - Have put AI to work in real workflows: redesigning process, automating the repetitive layer, and shipping faster - Test the smallest version of an idea in the real world before building the big one, and say clearly what you're not doing and why - Can lose a decision cleanly: disagree, commit, and execute with full credibility, knowing which calls are reversible and which aren't - Have taken a big process or policy change through an organization end to end and made it stick - Close the loop, hold the bar, and finish the unglamorous work Preferred qualifications - Experience running recruiting or talent operations at global scale - Working knowledge of recruiting compliance, like OFCCP, GDPR, and regional employment law, and how it shapes process and systems decisions - Experience in deep-tech environments with technical recruiting complexity - Experience operating across multiple time zones and jurisdictions The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $235,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
External Affairs, South Korea
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. External Affairs, South Korea Seoul About the role We are looking for an experienced Seoul-based Public Policy expert to lead Anthropic’s policy engagement in South Korea. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Korean government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how Korea approaches AI regulation and safety during a critical period of governance development. As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Korea, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Seoul from the ground up. In this role, you will: - Conduct comprehensive mapping of key Korean AI policy stakeholders and build strategic relationships with government officials, think tank researchers, and civil society leaders across the national and, where appropriate, sub-national governmental levels - Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Korean context - Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics - Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents - Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests - Develop new programming and generate opportunities for Anthropic to regularly engage with Korean policymakers, think tanks, and non-profit organizations - Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to the Korean regulatory environment - Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy - Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development - Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in South Korea You may be a good fit if you: - Preferred 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments - Have a track record of effective, information-rich advocacy with Korean government authorities at the federal and/or state level - Have experience analyzing legislation and engaging in regulatory processes - Are energized by agency — you will be the first policy hire in Korea and will be building the operation from scratch - Enjoy drafting and executing complex policy campaigns that move the needle - Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information - Excel at translating high-level vision into executable operational plans - Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics - Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes - Are fluent in Korean and English Preferred qualifications include: - AI/technology industry experience (heavily preferred) - Experience working with international companies or organizations - Academic or think tank background in AI policy or related fields - Experience in both government and private sector roles - Familiarity with intelligence and security cooperation frameworks Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Transaction Manager, Canada
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. Responsibilities: - Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. - Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets - Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships - Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure - Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform - Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status - Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure - Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint - Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms - -Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly - Marry the right projects, capital stacks and developers at the right stages - Support the development of the long term data center supply strategy You may be a good fit if you: - Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement - Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution - Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements - Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously - Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions - Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners - Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives - Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution - Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization - Expert in the Canadian Leasing Compute space It's a bonus if you: - Have experience with data center or hyperscale infrastructure transactions specifically - Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity - Have worked with legal teams on complex lease negotiations or infrastructure agreements - Possess familiarity with data center developer ecosystems and market dynamics - Have experience in high-growth technology companies managing infrastructure expansion - Understand utility coordination, power procurement, or energy considerations in data center transactions - Have a background in corporate development, strategic partnerships, or infrastructure investment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Architect
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you. Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else. We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before. The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works. Responsibilities - Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems. - Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material. - Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics. - Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it. - Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it. - Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads. - Travel. Expect 30 to 50%, in bursts around onsites, workshops and events. You may be a good fit if you have - 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. - Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. - Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. - Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. - Care for people. You do right by a struggling customer, and you won't leave a confused room behind. - Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. - Steadiness when priorities shift, timelines are short and colleagues are under pressure. - Comfort with ambiguity in a fast-moving industry and product suite. - A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. - You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have - Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). - Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. - Time with regulated industries or with systems-integrator partners. - A public record of technical teaching: talks, courses, videos or writing. - An interest outside technology you can talk about with the same energy. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $250,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Strategic Startups
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Strategic Startups at Anthropic, you will own the strategy, organization, and commercial outcomes for Anthropic's relationships with the world's most important AI-native startups. This is the segment where the next generation of category-defining companies is being built on Claude, and where Anthropic's commercial, product, and partnership decisions compound fastest. You will lead a team of Account Executives who own Anthropic's most strategic AI-native accounts, and be accountable for a revenue line spanning expansion, retention, and net-new strategic wins. Beyond running the business, you will define what "strategic" means for Anthropic in the startup ecosystem: which companies we bet on, how we structure partnerships with them, how we engage investors and accelerators, and how the signal from this segment shapes our product roadmap and go-to-market model. You will be a member of the GTM leadership team and a visible voice for Anthropic in the startup and venture community, helping ensure that the companies defining the future of AI choose to build it safely, and with us. Responsibilities: - Set the multi-year strategy for Anthropic's Strategic Startups business, including segmentation, coverage model, partnership structures, and investment priorities, and secure executive alignment on it - Build, lead, and scale a high-performing team of Account Executives, including hiring, coaching, and developing sellers and establishing a strong operating cadence across the team - Own the segment's revenue plan and P&L-level outcomes, including forecasting, capacity planning, quota design, and resource allocation, with direct accountability to GTM and company leadership - Personally lead Anthropic's relationships with a portfolio of the highest-leverage AI-native startups, engaging founders, CEOs, and CTOs on multi-year commercial, technical, and partnership agreements - Design and negotiate novel commercial and partnership structures (credits programs, strategic pricing, co-development, joint go-to-market) that create durable, mutually beneficial relationships with breakout companies - Serve as the executive voice of the startup segment inside Anthropic, bringing structured customer and market insight to Product, Engineering, Pricing, and Finance and influencing roadmap and packaging decisions accordingly - Partner with Enterprise Sales, Solutions, Partnerships, and Customer Success leadership to define handoffs, shared accounts, and escalation paths as startups scale into enterprise customers - Establish the systems of record for the segment: account planning, customer health, executive business reviews, deal governance, and the metrics leadership uses to run the business - Represent Anthropic externally with founders, investors, and at industry events, articulating our approach to safe, frontier AI and why it matters for companies building on it - Lean in to support building Anthropic's presence across the startup ecosystem. You may be a good fit if you: - Have 15+ years of experience in enterprise or technical software sales, with 7+ years leading sales teams - Have been a founder or have worked previously as a Business Development leader securing large contracts. - Have owned a significant revenue line with full accountability for plan, forecast, and results, and have a track record of consistently outperforming it - Have built or materially scaled a sales or account management organization, including designing coverage models, compensation plans, and operating rhythms - Bring deep, first-hand familiarity with the startup ecosystem, including relationships with founders, venture investors, and accelerators, and an instinct for identifying which early-stage companies will become the ones that matter - Have sold or led sales of technical, consumption-based, or platform products (APIs, infrastructure, developer tools, ML/AI), and are credible in conversations with technical founders and CTOs - Have structured and closed complex, non-standard commercial and partnership agreements at the executive level - Are a strong cross-functional leader who has influenced product, pricing, and go-to-market decisions well beyond your own organization - Are analytically rigorous and comfortable making decisions with imperfect data in a rapidly evolving market - Are motivated by Anthropic's mission and care about how frontier AI is deployed, not just how fast it grows Strong candidates may also: - Have led a startups or emerging-companies segment at a cloud, infrastructure, or AI platform company through a period of hypergrowth - Have founder, operator, or venture experience, and understand the pressures and decision-making of a high-growth startup from the inside - Have built ecosystem programs (startup credits, accelerator partnerships, investor programs) that meaningfully drove adoption of a developer platform - Have hired and developed leaders who went on to run their own organizations - Have experience leading through a market where the product and competitive landscape shifts quarterly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 - $750,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Regulated Industries, Customer Success
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Regulated Industries – Customer Success at Anthropic, you'll lead the Success teams responsible for our most complex Financial Services (FSI) and Healthcare & Life Sciences (HCLS) customers. Think banks, insurers, asset and wealth managers and financial data providers; health systems, hospitals and payers; and pharmaceutical, biotech and life-sciences organizations. You'll directly coach and develop a team of Customer Success Managers who drive value across the full product portfolio (Claude Platform, Claude Code, Claude Cowork). These are organizations where deployment runs through compliance, procurement, security review, model risk and legal before it reaches an end user. You'll partner day to day with the Regulated Industries sales organization so that customers experience one Anthropic from first conversation to production. You'll turn what works at one regulated customer into a methodology that works at the next. That means success plans that anticipate the governance gates. Executive programs that reach the CIO, CISO, CRO and compliance leaders who decide whether Claude gets deployed. Expansion plays that survive long procurement cycles. You’ll inherit a partially formed team, spanning individual contributors and managers. You'll hire and run the initial team yourself. As the book expands you'll continue to add managers underneath you and manage through them. We're looking for someone who has already led a success business in regulated environments and wants to build the operating model that lets it scale. Responsibilities: - Directly manage and develop a team of Customer Success Managers covering Financial Services and Healthcare & Life Sciences enterprise accounts — the Regulated Industries book — across all Anthropic products. - Own the hiring plan for the team, including sourcing for regulated-industry experience, onboarding and ramp design; later, hire and develop team leads and shift to managing through them. - Coach the team on success practice specific to regulated customers. That includes navigating compliance, procurement, security and model-risk reviews; building champions across business, technology and risk functions; change management under strict controls; and value realization across consumption and seat-based models. - Drive team accountability to core CS metrics: expansion (consumption growth, adoption), customer health, retention (NRR) and customer satisfaction (CSAT). - Join strategic customer engagements and escalations, with executive presence in front of CIOs, CISOs, chief risk and compliance officers, heads of business lines and board-level sponsors. - Build and refine the regulated-industries success methodology. Success planning frameworks that map the governance path to consumption; QBR and executive-briefing templates; security and compliance readiness playbooks; reference architectures and expansion playbooks that transfer from one regulated customer to the next. - Partner closely with the Regulated Industries sales organization to align on account strategy, set clear ownership between AEs and CSMs, and manage handoffs so long deployment cycles don't stall between teams. - Collaborate with Product, Engineering, Security, Legal and Marketing to advocate for regulated customers' needs and translate field signal into product direction. - Establish an AI-first, innovation-focused team culture; improve team processes and deepen hands-on product expertise. - Conduct regular 1:1s, performance reviews and career development planning for direct reports. - Own portfolio-level planning and forecasting, including renewal-risk mitigation and consumption development across the regulated book. - Serve as the escalation point for at-risk customers and complex situations in the team's portfolio. - Develop advocacy assets for regulated customers: case studies, references and reference architectures that can be shared within compliance constraints. - Champion responsible AI deployment practices with customers and represent Anthropic's values in every customer interaction. You may be a good fit if you have: - 10+ years in customer success, account management or customer-facing roles, with 5+ years of front-line management experience; 2+ years of experience managing managers. - Direct experience driving a Success business with regulated customers — financial services, healthcare and life sciences, or comparable regulated sectors. That means working through compliance, procurement, security review, risk and legal gates and consensus-building across executives to get to consumption. - A proven track record of managing and building customer success teams in SaaS, API or AI/ML companies. - Experience managing enterprise portfolios, including accounts with $1M–$100M+ annual contract values and deployment cycles measured in quarters, not weeks. - Demonstrated ability to drive outcomes in organizations with many decision-makers and no single owner, and to coach a team to do the same. - A strong understanding of both consumption-based and seat-based business models, with a record of driving adoption, expansion and value realization across them. - Experience developing repeatable frameworks, playbooks or enablement programs that other teams adopted independently of you. - Technical fluency to understand AI/ML products and the deployment, data and security considerations regulated customers raise. - Working knowledge of the regulatory and compliance frameworks these customers operate under e.g. HIPAA, FDA and healthcare data-security requirements - Strong executive presence with both business and risk-side leaders. Represents Anthropic credibly in a CISO or model-risk conversation as well as a CFO one. - Strong business acumen: articulating value, calculating ROI and driving customer business outcomes. - The ability to balance strategic thinking with tactical execution, and to context-switch between coaching, customer engagement and operational planning. - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality - Passion for responsible AI development and for helping customers transform their businesses with cutting-edge technology. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AI Deployment Specialist, Beneficial Deployments
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions. You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects." This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time. You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back to ask how the last ten deployments should change the next hundred. Your systems-thinking approach will directly shape how we activate customers, and your strategic management will ensure every customer achieves meaningful outcomes within their first 90 days. By identifying patterns across activations, you'll build replicable approaches to organizational change while maintaining the agility to customize solutions for each customer's unique transformation journey. Responsibilities: - Own the complete activation journey from contract signature to production deployment, orchestrating cross-functional resources and customer teams to ensure rapid time-to-value across Claude for Enterprise, Claude Code, and API products. - Deploy Claude inside customer environments. Configure and troubleshoot SSO (SAML), SCIM and JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace. Deliver informative transitions to Support for deeper issues that require investigation or engineering support. - Act as a trusted advisor to customer CISOs and CTOs on governance and enterprise setup. Bring a clear point of view on best practices, help security and IT leadership make the design decisions that determine whether a deployment holds up over time - Light up the capabilities that make Claude valuable. Enable and govern MCP connectors to the customer's systems, ensure Skills, Projects, and other capabilities are turned on and configured for their use cases, and work with their IT team on the approvals and OAuth consent this requires, so that day one feels ready - Design and scale activation frameworks by identifying patterns across deployments and building templated playbooks that balance standardization with customization for breakthrough outcomes. - Turn playbooks into programs. Package what works into repeatable, increasingly self-serve motions (deployment checklists, admin enablement sessions, onboarding cohorts, Claude-powered guidance) so that activation quality no longer depends on you being in the room. - Drive organizational transformation by developing change management strategies, rollout plans, and Train-the-Trainer programs that build internal AI champions and catalyze adoption across customer organizations. - Define and track success metrics across activation rate, time-to-value, customer satisfaction, and operational efficiency, using data to continuously optimize the motion. - Channel customer insights back to Product, Support, and Security teams, serving as voice of the customer so that repeat deployment blockers get solved once. You may be a good fit if you have: - 5+ years in customer-facing technical roles such as implementation management, technical account management, technical onboarding, solutions consulting, or customer success, with a track record of running multiple concurrent enterprise deployments with documented handoffs. - Experience serving nonprofits or mission-driven organizations. You've worked with (or inside) them and you understand how they differ from commercial enterprises. - Hands-on, sustained ownership of enterprise identity integration work. SAML, OIDC, SCIM v2, and JIT provisioning across at least two major identity providers (Okta, Entra ID, Ping, Google Workspace). You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating, and you know when a Support handoff is the right call. - Experience advising CISOs, CTOs, or IT leadership on enterprise governance and setup for a SaaS or AI platform, with an informed point of view on org topology, access models, RBAC, and OAuth. - Working knowledge of security and compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR) sufficient to anticipate what a customer's security review will ask, and to know when to bring in our AI Security Specialist. - You've designed, shipped, and measured programs that serve many customers at once: onboarding cohorts, enablement series, admin academies, lifecycle or engagement motions. You naturally ask "how might we scale this?", turn 1:1 moments into 1:many programs, and instrument what you build so you know what's working. - Hands-on fluency with AI in your own workflow. You've prototyped, generated content, analyzed accounts, or replaced internal processes with LLMs, and you can talk concretely about what worked, what didn't, and what's next. You don't wait for AI tooling to arrive; you build it. - Organizational change and enablement experience including developing rollout strategies, navigating stakeholder resistance, building internal champions, and designing programs that drive adoption at scale. - Comfort building in ambiguity. This is a new role on the team, and what you build becomes the template. You'll thrive creating structure where none exists, adapting quickly as the business evolves, and learning continuously. - Data-driven and metrics-oriented. Experience setting and tracking success metrics from day one, using data to optimize approaches, and demonstrating impact to diverse stakeholders. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 - $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Engineering Manager, Capacity Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, CPU families, and clouds. The Capacity Engineering team is responsible for making sure all of our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute — one of the company's largest areas of spend. As the Senior Engineering Manager for Capacity Engineering, you will lead the team that builds and operates these production systems. You'll set technical direction, grow and develop a team of senior and staff-level engineers, and be accountable for the reliability and correctness of surfaces that leadership, research engineering, inference, infrastructure, and finance all depend on. This is a hands-on leadership role: we expect you to stay close enough to the systems to review designs, make sound architectural calls, and step into an incident when the team needs you — while spending most of your time on people, priorities, and cross-organizational alignment. The team's work spans three overlapping areas, and you'll be responsible for balancing investment across them as business priorities shift: - Data platform — Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Consumers range from research engineers to finance to leadership, so this is product work as much as engineering. - Planning and Assurance — Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. - Efficiency — Measuring and improving how effectively every major workload uses the hardware it runs on, across training, inference, and evals. Building benchmarking infrastructure and per-config baselines, then partnering with system-owning teams to close the gaps. Key Responsibilities - Be hands-on, lead and grow the team. Hire, onboard, coach, and retain senior and staff engineers. Set clear expectations, give direct and timely feedback, run performance and leveling conversations, and build a team culture that values ownership, rigor, and collaboration. - Champion your internal customers. We build for our own use cases, so the teams that depend on our systems — research engineering, inference, infrastructure, and finance — are your customers. Engage with them directly, bring what you learn back into the roadmap, and lead the team in building tools people genuinely want to use. - Own the roadmap. Translate company-level compute strategy into a prioritized engineering roadmap across data platform, planning and efficiency. Make explicit trade-offs when priorities compete, and communicate them clearly upward and outward. - Set the technical bar. Review designs, weigh in on architecture, and hold the team to production standards — well-tested Python and SQL, latency and completeness SLOs, gap detection, and on-call that is sustainable. - Run the team as a product organization. Ensure the team gathers its own requirements, defines schema contracts, and designs for a wide range of consumers — from research engineers to a CFO. Treat data quality and discoverability as first-class deliverables. - Be the primary partner for cross-functional stakeholders. Work closely with infrastructure, inference, research engineering, and finance leadership to align on capacity decisions, efficiency targets, and spend. Represent the team's data and recommendations to senior leadership. - Drive operational excellence. Own reliability and incident response for load-bearing systems, establish SLOs and on-call practices, and continuously reduce operational toil so the team can spend its time on higher-leverage work. - Scale the function. As the fleet diversifies (every new provider is a net-new integration), anticipate where the team needs to grow in headcount, skills, and systems — and make the case for it. What You Bring - Experience managing software or infrastructure engineering teams, including hiring senior engineers, managing performance, and developing people into larger scope. - A strong technical background in production systems — data engineering, infrastructure, distributed systems, or observability — with hands-on experience you can still draw on when reviewing designs or debugging with the team. - Familiarity with at least one major cloud provider (AWS, GCP, or Azure), Kubernetes-based infrastructure, and modern observability stacks (e.g., Prometheus, Grafana). - A track record of setting and executing an engineering roadmap in an ambiguous, high-autonomy environment with many stakeholders and shifting priorities. - Excellent communication skills: you can explain a utilization metric to a research engineer and a spend forecast to a CFO, and you can advocate clearly for your team's priorities with senior leadership. - Comfort owning operational responsibility for systems the company depends on, including on-call and incident management. Preferred Qualifications - Experience leading teams working on capacity planning, resource management, product engineering or FinOps at a hyperscaler or in a large-scale ML environment. - Familiarity with accelerator infrastructure — GPU metrics (DCGM), TPU utilization, or ML training and inference systems at the hardware level. - Experience with multi-cloud billing and telemetry normalization (billing exports, reservation APIs, commitments, on-demand capacity reservations). - Experience building or leading internal data products with self-service access, schema contracts, and documentation. - Background in scheduling, packing efficiency, or profiling-driven optimization of large distributed workloads. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Researcher, Safety Training, National Security
About the Team The Safety Training research team aims to fundamentally advance our capabilities for precisely implementing safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You’ll advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities. In this role, you will: - Research and implement methods for safety training, reinforcement learning, and adversarial robustness. - Develop evaluations, identify model failure modes, and use findings to improve training. - Work with research, engineering, security, and policy partners to support safe, reliable deployment. You might thrive in this role if you: - Bring 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness. - Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills. - Have experience improving model safety for deployment and enjoy collaborative research. - Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. Security Requirements - Active TS/SCI clearance or equivalent. 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.
Research Engineer, AI for Chip Design
About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: - Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. - Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. - Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. - Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. - Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. - Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this role if you: - Have strong programming and debugging skills and a track record of turning technical ideas into working software. - Experience with reinforcement learning, model evaluations, post-training, or other applied ML research. - Experience building tool-using agents, reward functions, or automated evaluation systems. - Can form clear hypotheses, design useful experiments, and distinguish meaningful results from noise or evaluation errors. - Work independently on ambiguous problems and make practical decisions about what to build or test next. - Stay close to the implementation and can explain what you built, what failed, and what you learned. - Communicate progress clearly and collaborate well with people across research, software, and hardware. - Care about developing safe, beneficial AI. Nice to have: - Familiarity with experiment orchestration, distributed training, or research infrastructure. - Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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.
Senior AI Engineer – Notebooks
Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do - Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces - Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes - Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations - Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments - Provide technical leadership and mentorship while helping establish AI engineering best practices - Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are - You have experience with Go, Python or similar systems programming languages - You have 6+ years of relevant engineering experience - You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. - You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. - You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds - Access to Inclusion Talks, our Internal panel discussions - Free, global Spring Health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Remote About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Data Scientist, Marketing Analytics
Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. The Team or Role: Match Group’s Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics. Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams including Product, Marketing, Engineering, and Finance, so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance. As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus. Where you’ll work: This is a hybrid role and requires in-office collaboration three days per week. This position is located in NYC or Los Angeles. In this role, you will: Master and be responsible for analyzing marketing and business performance. Build models better to understand the impact of our marketing investments and strategy Find the “story” in the data and communicate insights and opportunities with executives and other internal teams. Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth. Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data. Support reporting and business intelligence needs of the entire Marketing team. You’ll need: 3+ years of relevant experience in analytics or data science Experience building bayesian regressions and/or other marketing measurement techniques Experience designing, executing, and measuring geo experiments and causal inference techniques Ability to think objectively and interpret meaningful themes from quantitative and qualitative data Ability to build constructive and effective relationships with a broad and diverse group of business partners Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions Proficiency with SQL required Scripting skills, preferably in Python. Knowledge of statistics, specifically experimental design and analysis Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents) Familiarity with common marketing KPIs, metrics, and growth experiments Differentiators: Curiosity about how things work, from both a business and technical perspective, leading to the identification and exploration of new strategic opportunities, potential improvements to our data infrastructure, and deepening our understanding of member behavior. Proactive collaborator skilled in engaging with cross-functional teams (Marketing, Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives Ability to prioritize time across multiple projects and communicate timelines
Principal Engineer, Applied AI (Fullstack/Backend)
Principal Engineer, Applied AI (Fullstack/Backend) at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Fitness, Health Care, Health Diagnostics, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App. Skills: Software Engineering, Production Systems, Scalability, Debugging, Reliability, Mentorship, Collaboration, Operational Excellence, Technology Strategies. Locations: United States, Remote. Work mode: remote.
Director of Product Management, Financial Simulati...
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. ABOUT THE TEAM The SandboxAQ AI Generation Engine (SAIGE) team’s mission is to accelerate SandboxAQ’s mission of “Deep Impact at Scale” with a focus on quantitative AI and rapid innovation. More specifically, the SAIGE team aims to: - Build next-generation AI capabilities that establish SandboxAQ as the global pacesetter in quantitative AI. - Identify, incubate, prototype, and launch new AI products for high-potential and longer-term use cases, proving (or disproving) their viability as high-impact, highly profitable business lines. The SAIGE team operates on the following principles: Prototype with Velocity, Explore Boldly, Fail Smart, Learn Fast, Look Forward, and Share Knowledge. Our current top priority use case is leveraging AI and LQMs to solve some of the most impactful problems in the Finance and Insurance industries. THE OPPORTUNITY As the Director of Product Management for the AI Generation Engine (SAIGE), you will be the PM lead for the team and a key partner to engineering, research, and user research. You will: - Own the product strategy and execution for our efforts in Finance & Risk Modeling, partnering closely with financial services and insurance customers to understand their workflows, risk models, and decision-making processes. - Lead rapid prototyping and innovation across a broad range of new ideas and domains, driving 0→1 product discovery, experimentation, and incubation of high-potential use cases. - Operate in a highly ambiguous, fast-changing environment, providing clarity on priorities, making pragmatic trade-offs, and ensuring we ship impactful prototypes and products. This role is ideal for a seasoned product leader who is energized by uncertainty, enjoys working across disciplines (UXR, engineering, research, business), and is excited to build new AI and quantitative products from the ground up. KEY RESPONSIBILITIES LEAD PRODUCT STRATEGY IN FINANCE & RISK MODELING - Own the product vision, roadmap, and execution for our Finance/Risk portfolio, with a focus on financial services and insurance (e.g., portfolio risk, capital modeling, risk analytics, underwriting, and related workflows). - Develop a deep understanding of customer contexts, including current tools, models, and data flows (e.g., portfolio / risk modeling systems, vendor platforms, internal analytics stacks). - Partner with quantitative researchers, ML engineers, and domain experts to translate customer problems into clear product requirements and model/data needs. - Define success metrics and validation strategies to compare our approaches against existing PML/ERM and portfolio views, and to demonstrate differentiated value. DRIVE RAPID PROTOTYPING AND 0→1 INNOVATION - Identify, evaluate, and prioritize new AI / LQM use cases across multiple domains (beyond Finance/Risk), from early signals to clearer opportunities. - Lead 0→1 product discovery: problem framing, hypothesis development, lightweight customer validation, and rapid iteration on prototypes. - Work with engineering and research to scope experiments that are small enough to move quickly but meaningful enough to answer key questions. - Establish and champion a rigorous but pragmatic approach to ruthless prioritization, ensuring the team focuses on the highest-impact opportunities. BUILD STRONG CUSTOMER AND STAKEHOLDER RELATIONSHIPS - Serve as a trusted product partner to senior stakeholders at key customers (e.g., heads of risk, portfolio managers, actuaries, CROs), speaking credibly about risk models, scenarios, and portfolio decisions. - Lead customer conversations from initial discovery through pilot definition and ongoing adoption, connecting customer needs to the SAIGE roadmap. - Communicate progress, learnings, and recommendations clearly to internal and external stakeholders, including executives. ESSENTIAL SKILLS & EXPERIENCE You are a senior product leader who is comfortable at the intersection of AI, quantitative modeling, and financial risk. You thrive in ambiguity, enjoy working closely with deeply technical teams, and can just as easily go deep on models and data as you can on customer needs and business outcomes. You are proactive, low-ego, and collaborative, and you don’t need rigid structure to have impact. - 10+ years of product management experience, with substantial time spent on complex B2B or platform products. - Deep Experience in financial services and/or insurance, especially in one or more of: - Risk modeling (e.g., portfolio risk, capital modeling, asset-liability management, market/credit risk, or insurance risk) - Financial simulation or scenario analysis - Portfolio analytics or decision support tools - Demonstrated ability to work closely with quantitative, engineering, and cross functional teams: - Comfortable discussing models, data pipelines, and trade-offs with engineers and researchers. - Experience working tightly with UXR, design, engineering, and research. - Clear written and verbal communication across technical and non-technical audiences. - Able to translate between technical details and customer/business value. - Proven track record of 0→1 Product Management work: - Identifying new opportunities and shaping them from idea to prototype and early product. - Strong ruthless prioritization skills: can define clear frameworks, make hard trade-offs, and say “no” to good ideas to focus on the best ones. - Demonstrated ability to drive execution without heavy process or structure, and Working through high ambiguity, incomplete information, and changing constraints. - Exceptional customer-facing skills: - Confident leading discovery and roadmap conversations with senior stakeholders. - Skilled at uncovering real needs behind stated requirements and pressure-testing problem statements. - Self-directed, proactive, and comfortable creating structure where needed rather than waiting for it. - Experience in environments with shifting priorities and evolving strategies. - Alignment with SandboxAQ values and the SAIGE principles around rapid prototyping, learning, and communication and shared ownership. HIGHLY DESIRED SKILLS & EXPERIENCE - Direct experience building products involving AI / ML, foundational models, quantitative models, or LLM/agentic systems. - Hands-on exposure to risk tools and vendor platforms (e.g., risk engines, portfolio analytics systems, or modeling platforms used in insurance and financial services). - Experience in both: - A high-growth startup or new product incubation context - A large, complex environment (e.g., Big Tech, major financial institution), giving you a strong sense of how to navigate stakeholders and scale impact. - Educational background in a quantitative or technical field (e.g., computer science, mathematics, physics, statistics, engineering, finance, or similar). If you’re excited by the idea of shaping the future of quantitative AI, building products with real impact in finance and insurance (and possibly other domains), and leading 0→1 innovation in a highly cross-functional team, we’d love to hear from you. WHY JOIN US? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SANDBOXAQ WELCOMES ALL We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Technical Recruiter, APAC
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As an experienced Talent Acquisition Specialist on the APAC recruiting team, you will be instrumental in building and scaling teams at Mistral across the region - Singapore, Korea, India, Australia and Japan. You will get a wide breadth of exposure across roles, geographies, levels. Joining Mistral in APAC today means you’ll sit at the intersection of recruiting strategy and best practice execution at scale. TAs at Mistral get a seat at the table, deep influence in decision making, and are sparring partners to hiring managers. Your work will directly influence our success by ensuring we find and engage exceptional people who will drive Mistral’s growth. You will also foster a strong candidate experience to create a flywheel for our employer brand int he region. You will also help establish recruiting best practice by creating, documenting and scaling knowledge and playbooks. WHAT YOU WILL DO - Drive our hiring effort for Applied AI and Solutions, across the region, with some flexibility and open mindedness to contribute to GTM and Corporate roles, on a need basis - Partner with our tech & business hiring managers to find world-changing talent for Mistral - Own end-to-end recruitment, including sourcing, interviewing, and closing candidates - Identify unique candidates who bring an entrepreneurial spirit, strong commitment and passion for success - Guide candidates through our hiring process and introducing them to the magic of working at Mistral - Develop and refine recruiting processes, tools, and documentation to improve outcomes and efficiency - Use data to diagnose process issues and propose solutions - Deliver a high-quality candidate experience in a competitive talent market - Collaborate with others to continuously raise the bar for our hiring standards - Contribute directly to defining and evolving our talent acquisition approach in APAC ABOUT YOU - 7+ years of total recruiting experience, ideally across a mix of agencies, high growth startups, and enterprise/corporate environments - Demonstrated ability to hire at high throughput at scale, and in complex environments, never compromising quality - Self-starter who is result-oriented, resourceful, innovative, intellectually curious, and who takes initiative and risks - T-shaped with deep expertise in Technical roles: FDE, SWE, MLE, Research Eng, Applied Science - Natural geek with tooling and automation, thinks in systems and scale, embraces the latest technologies, and has ideally built a thing or two - Experience in complex recruiting and autonomous hiring in outbound contexts - Experience working to recruit in highly competitive talent markets - Strong written and verbal communication - No ego and highly committed to deliver - Able and keen to jump from strategic topics to very hands-on work - Open learning mindset and fast learner, demonstrated capacity to quickly grasp new complex topics - Capability, credibility, and consultative skills to influence senior colleagues and stakeholders without authority - Organized, disciplined, and strong at project management - Comfortable working within the ambiguity of a small, growing startup with a strong desire to turn that ambiguity into a well-defined machine - Target driven, detail oriented, and approachable with the ability to prioritize and work well in an environment with competing demands - Fluent in English and experience recruiting internationally - Ideally, proficiency with Ashby, LinkedIn Recruiter, and AI tools (Vibe, Claude) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Field Marketing Manager - ASEAN
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ASEAN is one of Mistral’s most important and fastest-growing markets in APAC. We’re looking for a Field Marketing Manager to build and lead our marketing presence across ASEAN, Hong Kong, and Taiwan. This is a highly entrepreneurial role and a new position within the team. You’ll have the opportunity to shape how Mistral shows up across a diverse set of markets — from Singapore and Indonesia to Malaysia, Thailand, Hong Kong, and Taiwan — working closely with regional sales, global marketing, partners, customers, and senior stakeholders. You’ll bring together two important parts of our go-to-market strategy. First, sovereign and public sector. You’ll help build trusted relationships with government and public sector organizations through thoughtful executive engagement, policy-led conversations, roundtables, and high-touch experiences. Second, enterprise growth. You’ll work with sales to build demand and accelerate opportunities across some of the region’s most important and highly regulated organizations, including financial institutions, telecommunications companies, energy businesses, and other strategic accounts. This is an opportunity to build the playbook rather than inherit one. You’ll have significant ownership over strategy and execution, with the autonomy to experiment, move quickly, and see a direct connection between your work and Mistral’s growth in the region. WHAT YOU'LL DO CREATE EXCEPTIONAL FIELD EXPERIENCES - Own the strategy and execution of regional events, industry conferences, executive briefings, customer experiences, and intimate leadership gatherings. - Develop experiences that go beyond traditional events — creating meaningful conversations between Mistral, customers, partners, and industry leaders. - Balance strategic thinking with hands-on execution, from developing the program concept to being on-site to make it happen. CRAFT THE REGIONAL MARKETING STRATEGY - Develop and execute Mistral’s field marketing strategy across ASEAN, Hong Kong, and Taiwan, translating global priorities into locally relevant programs. - Work closely with regional sales leadership to identify market opportunities, priority accounts, and the programs that can have the greatest commercial impact. - Build scalable approaches that can work across diverse markets while retaining the local relevance needed to engage customers effectively. - Establish a clear view of marketing performance, from engagement and account penetration through to pipeline and revenue contribution. BUILD TRUSTED RELATIONSHIPS WITH GOVERNMENT AND PUBLIC SECTOR - Create high-touch marketing programs for government and public sector audiences, including executive roundtables, policy discussions, VIP briefings, and delegation visits. - Help position Mistral as a credible and trusted partner in conversations around AI, technology, sovereignty, and digital transformation. - Work closely with sales and leadership to create meaningful engagement with senior government and public sector stakeholders. ACCELERATE STRATEGIC ENTERPRISE ACCOUNTS - Partner with enterprise sales teams to develop account-based marketing strategies across priority accounts. - Create highly targeted 1:1 and 1:few campaigns designed to open doors, deepen relationships, and accelerate complex sales cycles. - Develop programs for strategic accounts across industries such as financial services, telecommunications, energy, and other regulated sectors. - Connect campaigns, events, content, and executive engagement into cohesive account strategies that move opportunities forward. SUPPORT THE REGIONAL ECOSYSTEM - Develop joint marketing and go-to-market programs with strategic partners, including systems integrators, telcos, technology partners, and global service providers. - Work with partners to extend Mistral’s reach across fragmented markets and create new opportunities for customer engagement. - Identify new partnership opportunities that can strengthen Mistral’s position across the region. BRING THE REGION'S VOICE TO MISTRAL - Represent the needs, insights, and opportunities of ASEAN, Hong Kong, and Taiwan within the global marketing organization. - Partner with Product Marketing and Demand Generation to adapt global messaging, campaigns, and assets for local markets. - Bring a deep understanding of local customer needs, cultures, regulations, and competitive dynamics to inform our global strategy. - Identify what is working in-market and turn those learnings into repeatable approaches across the region. WHAT WE'RE LOOKING FOR - Experience in field marketing, demand generation, regional marketing, or GTM within enterprise B2B technology, software, AI, infrastructure, or a related environment. - Strong experience working across Southeast Asia, Hong Kong and/or Taiwan, with an understanding of the different commercial and cultural dynamics across these markets. - Experience marketing to enterprise, regulated, or public sector audiences, ideally with exposure to financial services, telecommunications, energy, or government. - Experience creating high-touch executive programs such as roundtables, VIP briefings, customer events, or policy-focused engagements. - Strong understanding of account-based marketing, with the ability to build programs around strategic accounts and complex enterprise sales cycles. - Experience developing joint GTM or co-marketing programs with partners such as GSIs, telcos, hyperscalers, or technology providers. - A strong commercial mindset and ability to connect marketing activity to account engagement, pipeline, and business outcomes. - Excellent stakeholder management skills and the ability to build trusted relationships with senior sales leaders, customers, partners, and executives. - A strong communicator and storyteller who can represent Mistral confidently with senior audiences. - Someone who is highly adaptable and comfortable working across different cultures, markets, and ways of doing business. - A hands-on operator who enjoys moving between strategy and execution and isn't afraid to roll up their sleeves. - High ownership and low ego: you’re comfortable creating structure where there isn’t one, making decisions quickly, and taking responsibility for the outcome. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
GTM Strategy & Ops Lead - APJ
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role This is a greenfield, high-ownership role. You'll be the first GTM Ops leader on the ground in APJ, building the operational infrastructure that enables our go-to-market team to move fast, forecast accurately, and scale sustainably across the region. You'll partner directly with the President of APJ and broader GTM leadership to stand up the core operating cadences, design territory and coverage models, and drive the strategic analyses that shape how we grow across APJ over time. This isn't a role for someone looking to maintain what's already been built — there isn't much yet. It's for someone who gets energized by the blank page, earns credibility through rigor and craft, and wants to be the person who shapes how a world-class GTM operation comes together in a new region. What you'll do - Serve as the embedded GTM strategy and operations partner for the APJ sales and GTM team, acting as a trusted advisor and operator to regional leadership - Build the core operating infrastructure from scratch — forecasting cadences, pipeline review processes, territory design, quota frameworks, and performance visibility - Drive regional business reviews and strategic analyses to identify trends, surface opportunities, and inform GTM decisions at the leadership level - Partner with GTM leadership and cross-functional stakeholders (Finance, Enablement, Data) to develop go-to-market strategy and resource plans for ANZ and APJ - Design and manage territory allocation to optimize sales team performance; provide data-driven recommendations that align with broader business objectives - Lead high-impact regional projects that improve efficiency and effectiveness across the APJ revenue organization - Serve as the connective tissue between the APJ GTM team and the global rev ops and strategy function — ensuring alignment, sharing what's working, and advocating for what the region needs - Hire and lead a team across APJ You may be a fit if - You have 15+ years in revenue operations or GTM strategy at a high-growth technology company, with meaningful depth in sales operations — not just analytical support - You've operated as a true business partner to GTM leadership, not just a data provider — you shape priorities, influence decisions, and earn credibility in the room - You've built operational infrastructure in an early-stage or rapidly scaling environment — you know what good looks like and can get there from zero - You have experience at a SaaS or consumption-based company and understand how that model shapes forecasting, metrics, and territory design - You're comfortable with ambiguity — this role involves real open questions about how a region builds and scales, and you'll help answer them - You're strong analytically, with the organizational rigor to manage multiple priorities and the communication skills to influence senior stakeholders - You have experience building territories, comp plans, and quotas for GTM teams and are fluent in Salesforce
GTM Applications Engineer
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. GTM Applications Engineer SpaceXAI’s go-to-market org is growing fast, and the software that runs it has to keep up. GTM Apps sits inside Revenue Operations and builds the internal products our Sales, Customer Success, Field Engineering, and RevOps teams use every day for account intelligence, forecasting, pricing, and more. We also enable other teams to build apps for themselves via enablement and maintaining shared infrastructure. As a GTM Applications Engineer, you’ll own product surfaces end-to-end by talking to users, shipping full-stack applications, keeping production apps healthy, and raising the bar on reliability and UX. This is product engineering for the people who sell and support the SpaceXAI suite of products. Our team has high leverage, lots of visibility, and we move fast. What you'll do - Design, build, and ship full-stack features for GTM Apps (TypeScript / Next.js and our shared internal stack), from idea through production - Enable our world-class sales team to exceed their ambitious goals with world-class software - Own a product surface and drive its roadmap (e.g. account intelligence, pricing, forecasting, our internal data API, etc) - Partner closely with RevOps, Data Engineering, and field teams to turn messy operational processes into durable software - Improve the reliability, performance, and user experience for critical software our GTM teams depend on for daily work - Build and maintain shared infrastructure other GTM builders can use (e.g. APIs, UI libraries, authentication frameworks, etc) - Triage and fix issues in our app suite and use that feedback as an input signal for your roadmap - Use AI tooling aggressively in your own workflow and, where it helps users, in the products you ship What we're looking for - You’ve shipped production full-stack products (web apps users rely on every day), not just scripts or dashboards - You’re strong in TypeScript and modern React / Next.js, and comfortable across the full stack (UI, APIs, data, etc) - You care about UX and clarity - You’ve worked closely with business users (Sales, Customer Success, Operations, or similar) and can translate fuzzy requests into software requirements - You’re comfortable with SQL and have worked with large datasets in a modern warehouse, and you’re a strong partner to data engineers - You take ownership of the entire SDLC end-to-end with the minimum required process overhead - Bonus: experience with Salesforce, Databricks, Vercel, Datadog, RevOps tooling, working on an internal platforms team, and using Cursor
Influencer Marketer
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building the creative suite for the AI generation. Millions of creators and marketers already use our platform to generate speech, music, images, and video — and many of the world's best creators already talk about our products organically. It's time to turn that signal into a real program. We are looking for an Influencer Marketer to build our influencer program from zero to one. You will own the entire channel: strategy, creator sourcing and vetting, deal negotiation, briefs and creative direction, campaign execution around product launches, and measurement. This is not a coordination role — you will be the owner and operator of a channel we believe can become one of our biggest growth levers. We are looking for the top 1% of people in this industry. The right person has already taken an influencer program from nothing to something — with real numbers to prove it — and wants to do it again with more budget, a better product, and a faster team. You have sharp taste in creators and content, you negotiate deals that work for both sides, and you think about influencer spend the way a performance marketer thinks about paid: in terms of true incremental impact, not vanity metrics. WHAT YOU WILL DO - Design and build the ElevenLabs influencer program from the ground up: strategy, creator tiers, budget allocation, and operating playbook - Source, vet, and sign creators across YouTube, TikTok, Instagram, and X whose audiences match our creator, marketer, and developer segments - Negotiate and structure deals — flat-fee integrations, performance hybrids, long-term ambassadorships — and manage creator contracts with Legal - Write briefs that protect brand quality while giving creators room to be authentic, and give fast, decisive feedback on draft content - Plan and execute creator campaigns around product launches, feature releases, and cultural moments across ElevenLabs and ElevenCreative - Own measurement: work with our data team on attribution and incrementality (we already run a halo attribution model), and make continue/pause/scale calls on every creator and agency based on true ROI - Partner with paid marketing on whitelisting and amplifying top creator content, and with social to extend campaign reach - Build repeatable systems — sourcing pipelines, rate benchmarks, brief templates, reporting — so the program scales beyond you REQUIREMENTS - A proven track record of building an influencer program from zero to a meaningful, measurable channel — you can walk us through the before and after with real numbers - Experience negotiating and closing creator deals across YouTube, TikTok, Instagram, and/or X, including non-standard structures (performance hybrids, ambassadorships, usage rights) - Fluency in measurement beyond last-click: promo codes, UTMs, lift studies, incrementality, and the judgment to make budget calls when attribution is imperfect - Sharp creator taste — you can tell which creators will move the needle for a product like ours and which will just burn budget - Excellent brief-writing and creative feedback skills; you raise content quality without killing authenticity - Experience managing meaningful budgets and working cross-functionally with paid, social, product marketing, data, and legal - A genuine understanding of the AI and creative tools landscape — you follow the space, use the tools, and have informed opinions about where things are headed BONUS - Built or scaled an influencer program at a creative tools, AI, or developer-facing company (e.g., Canva, Adobe, Figma, Notion, Runway, or similar) - Managed 7-figure annual creator/sponsorship budgets - Experience on the agency or creator side of the table — you know how the other side negotiates - Built adjacent programs: ambassador, affiliate, or B2B thought-leader partnerships - Multilingual capabilities GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead the influencer and creator partnerships function as the program scales, building a team around you - Expand into broader creator/community growth ownership across ElevenLabs brands - Move into growth or brand marketing leadership as the Growth org evolves LOCATION This role is remote-first and can be executed from anywhere between the US East Coast and Europe, with the ability to collaborate across EST–CET timezones. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Senior Full-Stack Software Engineer, (Forward depl...
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. - Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. - Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. - Contribute to core platform features designed to be reused across diverse international client use cases. - Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: - Bachelor’s degree in Computer Science or a related quantitative field - 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. - Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. - Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. - A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. - Driven async communication methodologies to reduce communication frictions - Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape Nice to haves: - Proficient in Arabic - Past experience working in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Customer Success Manager, API
Perplexity's API Platform brings our work in AI, search, and agent orchestration to developers. Our customers range from AI-native startups to some of the world's largest technology companies. Working with them, alongside our own developments in building Perplexity’s core application gives our team direct exposure to how search, models, and tools are used to build and scale AI-native products and applications. ABOUT THIS ROLE We are looking for a technically fluent Customer Success Manager to help our API customers succeed and shape how we support them as the business grows. You will own a portfolio of customers, understand what they are building, and help them move from evaluation to production and broader adoption. Alongside your accounts, you will lead projects such as product and endpoint migrations, customer enablement, and communications for product updates and incidents. You will work directly with customers developing AI products and with the engineers building the APIs they depend on. As an early member of the team, you will help shape our customer success programs and bring what you learn from customers into product decisions. RESPONSIBILITIES - Own customer relationships across onboarding, adoption, retention, and expansion, building trust with developers, technical leaders, and business stakeholders. - Understand each customer's use case, integration, and success criteria. Help them evaluate the APIs, resolve adoption barriers, and establish a path to production. - Use account and product usage data to identify declining adoption, technical risks, and growth opportunities, then work with customers on specific next steps. - Investigate technical questions using API documentation, sample requests, and usage data. Coordinate with Engineering and Support on deeper issues and keep customers informed through resolution. - Lead customer-facing programs such as endpoint migrations, product rollouts, and enablement. Define milestones, coordinate internal owners, and track customer readiness and completion. - Manage customer communications for product changes, deprecations, and outages, partnering with technical teams to provide accurate updates and clear guidance. - Build and improve the API customer success playbook, including onboarding, account reviews, customer health signals, escalation paths, and sales-to-CS handoffs. - Partner with Sales and account owners on renewals and expansion, using adoption, consumption, and business outcomes to demonstrate value and surface risks early. - Bring customer feedback into product planning and work with Developer Relations and Support on documentation and enablement that address recurring needs. WHAT WE'RE LOOKING FOR - 4+ years of experience in customer success, technical account management, solutions engineering, or a related customer-facing role at a technology company. - Technical fluency: comfortable reading API documentation, making API requests, interpreting responses and errors, and discussing integration questions with developers. - A track record of driving adoption, retention, or growth across a portfolio of customers, with clear ownership of follow-through. - Experience creating or improving a customer program, playbook, or cross-functional process, not only operating an established one. - Strong written and verbal communication, including the ability to explain technical issues clearly and communicate carefully when facts are still developing. - Sound judgment in balancing account needs with strategic projects, setting priorities, and moving work forward without a detailed brief. NICE TO HAVE - Experience with APIs, developer tools, cloud infrastructure, or usage-based products. - Familiarity with AI applications, search, retrieval, or agents, including how customers evaluate quality, latency, and cost. - Working knowledge of Python or SQL for reproducing issues, analyzing usage, or automating recurring work.
Strategic Business Operations Lead, API
Perplexity's API Platform brings our work in AI, search, and agent orchestration to developers. Our customers range from AI-native startups to some of the world's largest technology companies. Working with them, alongside our own developments in building Perplexity’s core application gives our team direct exposure to how search, models, and tools are used to build and scale AI-native products and applications. ABOUT THIS ROLE We are looking for a Strategic Business Operations Lead to manage customer relationships and lead projects that help grow the API business. The role is roughly half customer-facing and half strategic and operational work, with an initial focus on building and improving our post-sale programs. You will own a portfolio of API customers, learning how AI-native companies and large enterprises evaluate, adopt, and scale AI infrastructure. Working closely with API leadership, you will help shape how the business operates and lead projects such as product migrations, customer enablement, and account coverage. You will put recommendations into practice, with results measured in customer adoption, retention, and growth. RESPONSIBILITIES - Manage a portfolio of API customer relationships, leading account conversations, understanding business priorities, and coordinating next steps across technical and commercial teams. - Build account plans around adoption, value, and growth. Identify risks early and partner with Sales and account owners on renewals and expansion. - Design and improve the post-sale operating model, including customer segmentation, account coverage, onboarding, health signals, and handoffs between teams. - Lead strategic projects across the API business, with an initial emphasis on customer adoption and retention. Scope the problem, develop a recommendation, coordinate execution, and track outcomes. - Run customer programs such as product and endpoint migrations, enablement, and rollout communications. Establish the audience, milestones, internal responsibilities, and follow-up needed for each. - Coordinate customer communications for product updates, pricing changes, deprecations, and incidents, working with Engineering, Support, and commercial teams on accurate messaging. - Analyze usage, consumption against commitments, renewal risk, and expansion signals to prioritize customer engagement and inform business decisions. - Build practical reporting, workflows, and automation that help the team manage a growing customer base. Partner with Finance and Billing Operations to improve the customer experience around credits, commitments, and billing. - Bring insights from customers into API planning and take on additional strategic initiatives as business priorities evolve. WHAT WE'RE LOOKING FOR - 5+ years of experience in business operations, strategy and operations, consulting, customer success, account management, or a related role. - A track record of taking ambiguous business problems from analysis through implementation, including projects that require coordination across multiple teams. - Strong analytical skills: comfortable working with spreadsheets, usage data, and business metrics to identify a problem, test a hypothesis, and recommend an action. - Strong relationship skills and a genuine interest in spending a substantial part of your time with customers. You can lead a conversation, understand their priorities, and take responsibility for the follow-up. - Curiosity about APIs and AI products, with the ability to learn technical concepts and work effectively with engineering teams. - Clear writing, commercial judgment, and the ability to balance ongoing customer relationships with longer-term projects. NICE TO HAVE - Direct customer-facing experience in a B2B technology company, including account management, customer success, partnerships, or solutions work. - Experience with API businesses, developer platforms, or consumption-based revenue models. - Working knowledge of SQL, CRM systems, or BI tools, and experience automating recurring analysis or workflows.
Account Executive Enterprise, Turkey
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As our Account Executive Enterprise, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industry. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams. What You Will Do: Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities What We're Looking For: - 7-10 years experience in Sales for diverse industry (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent Turkish and English, additional language welcome - Outstanding negotiation and communication skills WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Account Executive Enterprise, KSA
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As our Account Executive Enterprise, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industry. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams. What You Will Do: Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities What We're Looking For: - 7-10 years experience in Sales for diverse industry (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English, additional language welcome - Outstanding negotiation and communication skills WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Software Engineer, Data Infrastructure
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: - Design, build, and operate the distributed storage system that feeds model training and evaluation. - Run this system multiple on Kubernetes clusters at petabyte scale. - Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements - Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: - Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. - Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other - Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets. - Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems. It’s a bonus if you have: - Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre. - Familiarity with the data-loading and checkpointing patterns used in large-scale model training. - An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Product Designer, Codex
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Codex team plays a key role in this by changing how software gets built and who can build it. The team is a fast-moving group within OpenAI that works across research, engineering, product, and design to build an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Design plays a critical role here. To succeed in our mission, it’s crucial that we make coding agents intuitive and accessible. We’re hiring a product designer to create products that are easy to use, beautiful, and push the boundaries of what’s possible. As an early team member, you’ll have a huge part in shaping our product direction and design culture. About the Role As a product designer on Codex, you’ll collaborate closely with a small team of product designers and cross-functional partners to shape the future of coding. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers. Much of the work is 0–1, requiring you to balance a high-bar for craft, fast iteration, and strong product intuition. You’ll work on the end-to-end design of new features and improvements across a range of Codex products. You’ll help chart our course into the future as we evolve our technology, product, and design paradigms. 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: - Contribute to the overall design and product direction of OpenAI products. - Design and ship high-quality products and improvements, from early concepts to high-fidelity prototypes and visuals. - Partner closely with engineering, product management, research, and design peers to define both long-term strategy and short-term tactics. - Engage in user research to better understand our users (software developers) and refine our products. - Contribute to and evolve our design system. - Help establish our design culture and grow our team. You might thrive in this role if you: - Bring a strong technical background and have recently shipped code to production. - Are deeply motivated by making coding agents intuitive and accessible, and expanding access to who can build software. - Have a portfolio showcasing strong UX, UI, and interaction design skills, with a high bar for quality and craft. - Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp design thinking to technical trade-offs. - Get excited about being immersed in the AI research process and defining how AI-first products should look and behave. - Possess impactful communication and storytelling skills. Bonus if you have: - Prior experience with research or developer-focused products or workflows. - Have shipped side projects with AI or contributed to open-source AI tools. 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.
Mechanical Engineer, Dynamometer and Actuator Test...
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to design, build, and own the mechanical side of our robotic actuator dynamometer and test infrastructure. You will create the test stands, couplings, fixtures, load paths, guarding, and serviceable lab hardware that enable rigorous characterization of robotic actuators. This role combines precision mechanical design with hands-on lab work. You will take robotic actuator test infrastructure from requirements and analysis through CAD, fabrication, assembly, commissioning, and iteration, partnering closely with electrical and software engineers to deliver safe, flexible, high-uptime test cells. In this role, you will - Own the mechanical architecture of dynamometer and actuator test cells, including frames, bases, load paths, alignment, guarding, and serviceability. - Design dynamometer structures, robotic actuator fixtures, load-motor mounts, couplings, shafts, bearings, adapters, and torque-reaction hardware. - Translate robotic actuator test requirements into robust mechanical systems for torque, speed, thermal, durability, backdrive, efficiency, and failure testing. - Perform first-principles analysis and simulation for stiffness, strength, fatigue, vibration, thermal growth, critical speed, and safety factors. - Create precise, repeatable alignment strategies that protect test articles, load machines, sensors, and couplings. - Design modular fixturing that supports rapid changeover across actuator and motor variants without compromising measurement quality. - Work closely with electrical engineers on cable routing, enclosures, cooling, sensor packaging, and test-cell safety interfaces. - Work closely with software and controls engineers to define mechanical limits, safe operating envelopes, and automated-test constraints. - Build, assemble, debug, and improve test stands in the lab, using measurement and fabrication tools directly. - Develop guarding, containment, pinch-point mitigation, hard stops, and other mechanical safety systems for high-energy rotating equipment. - Manage fabrication partners and vendors for machined parts, weldments, bearings, couplings, sensors, and test-stand components. - Establish drawings, tolerance stacks, assembly procedures, inspection plans, and preventive-maintenance practices. - Use test observations and failure analysis to continuously improve durability, usability, uptime, and measurement fidelity. You might thrive in this role if you - Have strong intuition for load paths, stiffness, alignment, rotating machinery, and the practical behavior of real hardware. - Enjoy designing fixtures and structures that are precise, robust, safe, and easy for others to use. - Are highly hands-on and comfortable assembling, aligning, instrumenting, and debugging test equipment. - Can move fluidly between first-principles analysis, CAD, vendor collaboration, and lab iteration. - Care about details such as tolerances, runout, resonance, thermal growth, guarding, and serviceability. - Are comfortable working in fast-moving environments with evolving test needs and aggressive technical goals. - Take ownership of the full test-stand lifecycle, from concept through reliable daily operation. - Communicate clearly across mechanical, electrical, controls, software, safety, and operations teams. - Are motivated by building infrastructure that reveals how advanced robotic actuators really perform. - Are excited to build mechanical test infrastructure that accelerates robotic actuator development. Preferred qualifications - Preferred qualifications - Bachelor’s or graduate degree in Mechanical Engineering, Robotics, Mechatronics, or a related field. - Experience designing mechanical systems for robotic actuator dynamometers, robotics, automation, rotating machinery, aerospace, automotive, or similar high-performance hardware. - Strong understanding of structures, load paths, shafts, bearings, couplings, fasteners, tolerances, alignment, and vibration. - Experience designing fixtures, test stands, frames, guarding, and precision mechanical interfaces. - Proficiency with CAD and drawing release workflows; NX, SolidWorks, Creo, or equivalent experience is welcome. - Experience with structural, thermal, fatigue, or modal analysis and applying results to practical hardware decisions. - Hands-on experience with assembly, machining, metrology, alignment, and troubleshooting in a lab or prototype environment. - Familiarity with mechanical safety for rotating equipment, containment, interlocks, and safe operating envelopes. 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.
Mechanical Design Engineer, Motor Design & Prototy...
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Design Engineer to lead the development of motor mechanical designs and prototype hardware for advanced robotic systems. You will own stator and rotor mechanical development from early concepts and detailed design through hands-on builds and prototype validation, partnering closely with electromagnetic, electrical, test, and manufacturing teams. This role focuses on the design, integration, and validation of motor components and prototype processes, including laminations, stack assemblies, bobbins, winding interfaces, and fixtures. You will help drive motor development from initial design through repeatable low-volume builds while establishing the tooling, work instructions, and validation practices needed for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will - Own stator and rotor mechanical designs and released CAD and drawings, including geometry, interfaces, fits, tolerances, retention, assembly access, and mechanical validation. - Develop laminations, stack assembly methods, bobbins, and winding interfaces that control alignment, insulation, conductor placement, and end-turn packaging. - Design, fabricate, and debug fixtures for winding, stacking, assembly, alignment, and inspection. - Build and troubleshoot prototypes. Use measurements, defects, rework, and assembly effort to improve designs and processes. - Establish low-volume prototype production with equipment, build sequences, work instructions, revision control, traceability, and acceptance checks that let technicians reproduce successful builds. - Test new manufacturing methods and winding approaches, balancing performance, repeatability, and practical implementation. - Work with electromagnetic, electrical, manufacturing, and test engineers to resolve tradeoffs between motor performance, packaging, buildability, and validation. You might thrive in this role if you - Move comfortably between CAD, the shop, measurements, and hands-on builds, and take ownership of the physical result. - Understand how tolerances, insulation, tool access, and assembly sequence affect whether a motor can be built and used reliably. - Diagnose failed builds through evidence and focused experiments, then carry the fix into the next iteration. - Build useful processes while designs evolve, and document them so others can reproduce the result. - Communicate assumptions and tradeoffs clearly and resolve coupled problems across disciplines. Preferred qualifications - Experience designing and building motors, actuators, or other precision electromechanical assemblies. - Experience with lamination stacks, bobbins, winding, insulation interfaces, or small-component assembly. - Proficiency in 3D CAD, manufacturing drawings, tolerance analysis, and fixture design, with hands-on metrology and inspection of critical mechanical interfaces. - Machining, additive manufacturing, bonding, or other prototype manufacturing processes. - Experience turning an initial build into a repeatable low-volume process. - Interest in using AI to reduce repetitive design and prototype work, with careful engineering review. 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.
Full-Stack Software Engineer, Emerging Products
About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: - Build and ship high-quality, product experiments across the full stack. - Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. - Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. - Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: - Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. - Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. - Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. - Operate with a high degree of autonomy, move quickly through ambiguity, and create lightweight structure where little exists. - Communicate clearly across disciplines and are willing to learn whatever is needed to move a product forward. 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.
Software Engineer, API Frontiers
About the Team API Frontiers turns OpenAI’s frontier models into production APIs that developers can use to build reliable products and agents. We own the core path connecting models to developers through the Responses API, with a focus on safety, reliability, and speed. Working closely with Research, Safety, Codex, and other API teams, we bring new model capabilities into production and improve them through developer feedback. About the Role We are looking for a backend software engineer to build and operate the services behind the Responses API. You will shape API behavior, bring new capabilities from research into production, and make long-running agent workflows dependable and fast. The work combines distributed systems engineering with product judgment: designing useful developer interfaces, managing staged rollouts, and following production issues through to durable fixes. In this role, you will: - Design, build, and operate APIs and backend services that bring frontier model capabilities to developers. - Partner with Research, Safety, Codex, and API teams to define API behavior and deliver safe, staged launches. - Build API capabilities for agent workflows, including task delegation, context sharing, and parallel execution. - Strengthen long-running request reliability across timeouts, cancellation, streaming, and background execution. - Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections. - Turn developer feedback and production failures into better observability, diagnostics, and lasting product improvements. Your background might look something like: - 5+ years of experience building and operating backend services or developer-facing APIs in production. - Strong software engineering fundamentals, with practical knowledge of distributed systems, concurrency, and asynchronous execution. - Ability to diagnose production failures and performance bottlenecks using observability data and profiling. - Product judgment and developer empathy, with a track record of translating complex capabilities into clear, dependable APIs. - Experience taking ownership of ambiguous technical problems, from defining an approach through shipping and improving the result. - Clear communication and effective collaboration across engineering, research, product, and safety disciplines. - Experience with Rust, streaming protocols or WebSockets, or long-running workflow systems 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.
Forward Deployed Engineer, Infrastructure Speciali...
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. IN THIS ROLE, YOU WILL: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel to customer premises between 20-40% YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You are fluent in Arabic and English IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Forward Deployed Engineer, Infrastructure Speciali...
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS. We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI. In this role, you will: - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. - Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices. - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. - Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. - Travel up to 20–40% to work on-site with customers and partners YOU MAY BE A GOOD FIT IF: - You have experience with and enjoy working directly with customers - You have experience deploying enterprise software in private/hybrid cloud environments - You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm - Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control - You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization - You excel in fast-paced environments and can execute while priorities and objectives are a moving target IT'S A BONUS IF YOU HAVE… - Familiarity with GPU node orchestration & scheduling - You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Staff Full-Stack Software Engineer, (Forward Deplo...
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation - Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. - Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. - Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. - Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. - Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: - Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems. - 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). - Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. - Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. - Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems. - A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. - A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction. Nice to haves: - Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations - Proficient in Arabic For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Product Designer, Accessibility
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Design Systems team creates the foundations that help teams across OpenAI build coherent, high-quality experiences at scale. Accessibility is fundamental to that work. We’re building the shared standards, components, tools, and practices that make inclusive experiences the default across OpenAI’s products and platforms. About the Role In this role, you’ll lead OpenAI’s company-wide accessibility program from within the Design Foundations team within Product Design. You’ll pair strategy and organizational influence with hands-on product design (visual and interaction design) —advocating for disabled people, removing barriers across complete customer journeys, and establishing durable ownership throughout the company. This is an opportunity to define accessibility for a new generation of products spanning web, mobile, desktop, voice, AI, and hardware. You’ll help teams consider the many ways people perceive, understand, navigate, and interact with technology, going beyond minimum compliance to create experiences that are genuinely useful and inclusive. Working across design, engineering, research, product, go-to-market, and legal, you’ll make accessibility an expected part of product quality—not a final review or the responsibility of a single expert. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: - Design and ship product experiences while identifying systemic barriers across complete customer journeys. - Define OpenAI’s accessibility strategy, roadmap, governance, priorities, and measures of progress. - Build accessibility into our design system through inclusive components, tokens, interaction patterns, Figma libraries, documentation, and engineering guardrails. - Center disabled people through participatory research, usability studies, and assistive-technology testing rather than relying solely on assumptions, simulations, or automated tools. - Design for permanent, temporary, and situational disabilities, including multiple ways to perceive information, navigate interfaces, understand content, and complete important tasks. - Establish practical standards for screen readers, keyboard navigation, focus, reading order, contrast, typography, motion, captions, forms, errors, and multimodal interactions. - Lead accessibility audits, remediation priorities, launch readiness, and continuous validation across platforms. - Partner with go-to-market, legal, compliance, and product teams on enterprise readiness, accessibility documentation, procurement needs, and customer commitments. - Grow company-wide capability through training, critiques, engineering partnerships, and a network of accessibility champions. You might thrive in this role if you: - Pair deep accessibility expertise with a very high bar for design craft: strong interaction design, visual design, systems thinking, and prototyping skills - Have led accessibility or inclusive-design work across multiple teams, products, or platforms. - Understand the relationship between accessibility, usability, and inclusive design—and know when to go beyond standards to meet real human needs. - Have deep practical knowledge of WCAG, assistive technologies, accessible interaction design, and platform-specific standards. - Have embedded accessibility into design systems, reusable components, and engineering workflows. - Have worked directly with disabled people and translated their experiences into meaningful product and organizational decisions. - Can identify assumptions and exclusion within a product journey, then turn those insights into clearer and more flexible ways to interact. - Are equally effective setting strategy, designing detailed experiences, and collaborating with engineers through implementation. - Can influence across disciplines without direct authority, creating shared accountability without becoming a centralized approval gate. 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.
Strategy & Operations Lead, Marketing
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategy & Operations Lead for Marketing at Anthropic, you'll be a key part of the team that keeps our entire marketing organization running, spanning brand, enterprise, creative and performance marketing. You'll work at the intersection of strategy, operations, and analytics, helping build the systems and rhythms that let a fast-growing team move quickly and stay aligned as we introduce Claude and Anthropic to the world. This is a senior, high-autonomy role for someone who can see around corners and turn ambiguous, high-level strategy into concrete plans that ship. You'll project-manage some of marketing's most high-stakes, high-visibility work and quarterback complex special projects that cut across the org. You'll partner with marketing leadership, Finance, Legal, Creative Studio, and external agencies to run planning and budgeting, sharpen how we measure impact, and rally teams to get things done. This is a team effort. You'll sit within a strategy and operations group that divides and conquers, so you should be as happy driving your own slice as partnering on the rest. We're looking for a leader who can walk into a complex, fast-changing environment, quickly figure out what matters, and move it forward with very little direction. What makes this role exciting You'll help shape how Anthropic tells its story to the world, building the operational foundation that lets every part of our marketing team do its best work. You'll touch all of marketing, from brand and enterprise to product and developer, with real influence over how the whole org plans, spends, and measures itself. This is a chance to build alongside a sharp team at one of the most important companies in AI, with significant room to grow your scope and step into broader leadership as we scale. Key responsibilities - Drive annual and quarterly planning alongside the rest of the strategy and operations team, turning company and marketing strategy into clear plans with owners, timelines, and budgets - Project-manage high-stakes, high-visibility projects from start to finish, keeping many moving parts and busy senior leaders aligned and on schedule - Quarterback complex, cross-org special projects, pulling in the right people, setting the plan, and driving to the finish even when no single team owns the work - Partner on budget planning, forecasting, and management across marketing teams, making sure spend maps to the highest-priority work - Help build the operating rhythm the marketing org runs on, including how teams plan, prioritize, track progress, and report results, designed to scale as we grow - Build analytics and reporting that show how marketing is performing and give leaders the insight to make sharper calls - Drive cross-functional programs across Marketing, Finance, Legal, Creative Studio, and agency partners, keeping fast-moving work coordinated and unblocked - Partner with marketing leadership and Finance on resource and headcount planning, building the trust to influence without owning the teams directly - Find friction and remove it, so teams can move faster and focus on the work only they can do - Help define the metrics and measurement that tell us whether our marketing investments are working Minimum qualifications - Marketing operations or strategy, business operations experience supporting the Marketing organization, working in high-growth B2B tech companies or strong technology-driven consumer brands - Strong project management instincts, with a track record of steering high-stakes, high-visibility projects and keeping many moving parts and busy senior leaders aligned - A history of seeing around corners, anticipating what a fast-scaling team will need before it becomes a problem and getting ahead of it - Proven ability to turn ambiguous, theoretical strategy into actionable plans, and to rally people across an org to execute quickly - Deep experience building and scaling operating processes from scratch in fast-paced, ambiguous environments - Strong analytical and financial chops, with hands-on experience in budgeting, forecasting, and annual planning - The ability to navigate a complex organization, build influence without authority, and manage relationships with senior leaders across Marketing, Finance, and the wider company - Comfortable operating with little direction and driving outcomes end to end, and equally comfortable dividing and conquering as part of a team rather than being the sole owner of everything you touch - Fluency with marketing technology and project management tools Preferred qualifications - 10+ years in marketing operations, strategy, business operations, or a related field - Familiarity with marketing measurement and attribution methods - A background spanning more than one marketing discipline, such as brand and performance, or enterprise and product - Experience scaling operations through rapid company growth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Social Escalations Program Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Social Escalations Program Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day. You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action. Key responsibilities - Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations - Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria - Own social escalations end-to-end during your coverage hours - Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current - Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk - Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last - Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases Minimum qualifications - 6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform - Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building) - Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms - Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold - Comfort coordinating across functions in real time and influencing partners without positional authority - A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people - Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate - Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 - $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Reseller Partner Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building a global reseller program so that enterprises can buy Claude through the partners they already work with. As Reseller Partner Manager for our largest global systems integrators, you will own Anthropic's resell relationships for these strategic partners that operate in every region we sell in. Each of these partners is organized by region and by practice, and led by a global alliance team. Your job is to turn each of those relationships into a working reseller motion: agreements signed, teams enabled, deals registered cleanly, and resale consumption growing against the target for this cohort. You will be the single owner of each partner relationship on the Anthropic side. The partner's global alliance leadership will look to you for the joint plan, the commercial construct, and the escalation path. Their in-country practices will look to you, working with our country account teams, for how a deal gets registered, priced, transacted and supported. Our internal teams will look to you for what the partner is doing in the market, where partner sourced pipeline is building, and where direct and partner motions are colliding. Managing potental direct versus partner conflict at scale, across many regions and account teams at once, is a core part of the job. You will therefore work closely with the partner's own hyperscaler alliance teams and with our counterparts at AWS, Google Cloud and Microsoft Azure to sequence agreements, enablement and first transactions region by region. Much of the process for running a global reseller relationship does not exist at Anthropic yet. Building it, and representing what these partners need to the central program team, will be a large part of your first year. Key responsibilities - Own Anthropic's resell relationship with each of our largest global systems integrators, acting as their primary point of contact and building executive relationships with their global alliance leadership and their regional and practice leaders - Close the reseller paper chain with each partner, including the reseller agreement and the Bedrock and marketplace resale terms, working with the central program team and Legal - Agree on a joint business plan with each partner covering target regions, practices, pipeline commitments, enablement and marketing, and run regular business reviews against it - Own deal registration and pipeline discipline with each partner across all regions, making sure registrations are submitted and validated, conflicts are cleared, and named end customer reporting is complete on every deal - Forecast and report partner sourced registered pipeline and resale consumption against the target for this cohort, and own that number with the central program team - Coordinate each partner across the regions and country account teams it operates in, aligning the partner's global alliance leadership with its in country practices and our AEs, and managing direct versus partner conflict as deals arise - Sequence agreement, enablement and first transactions for each partner across regions, working through the AWS Bedrock and marketplace private offer route first and further hyperscaler routes as they open - Manage Anthropic's counterpart relationships with the hyperscaler alliance teams that serve these partners at AWS, Google Cloud and Microsoft Azure - Coordinate partner certification and enablement with the central enablement lead, so that the practices selling Claude are certified and current in each region - Work with the central program team on program governance, margin mechanics and escalations, and build the processes and working rhythms a global reseller relationship needs where none exist yet - Represent each partner's needs to the central program team, and feed what you learn back into how the program works everywhere - Own partner escalations end to end, from billing and contracting questions to deal conflicts, and resolve them with the right internal owner Minimum qualifications - 8+ years in partner, channel or alliances roles in enterprise software or cloud - Direct experience owning a global systems integrator or a large strategic reseller relationship, including the executive relationships at the partner's global alliance level - Experience working with the hyperscalers, AWS, Google Cloud and Microsoft Azure, and an understanding of how global systems integrators sell and transact with each of them - Comfort operating with partners that are far larger than your own company, holding the line on program rules while keeping the relationship strong - Working fluency in channel program mechanics, including deal registration, partner tiering, margin and rebates - Experience building processes and working rhythms from zero, and comfort joining a new program early - Experience managing executive relationships across a global partner organization, spanning multiple regions and practices - Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience with cloud marketplace resale, including private offers on AWS Marketplace, Google Cloud Marketplace or Azure Marketplace - Experience on the systems integrator side of a vendor relationship, as well as the vendor side - Experience bringing an existing, informal partner motion into a structured program, or joining a partner program at or before launch - Familiarity with how the largest global systems integrators are building and selling AI practices - Experience managing direct versus partner conflict across multiple regions and sales teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £160,000 - £215,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior ABM & Campaign Manager
About the role Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Responsibilities - Build and own bespoke ABM programs for our top accounts, partnering with Sales on account tiering, buying group mapping, and the plays that drive marketing activation and air cover. - Design and run integrated campaigns across paid media, email, content syndication, webinars, gifting, and meeting-maker programs, connecting them into cohesive journeys rather than standalone tactics. - Partner with Field Marketing and Events on pre-event account targeting and warm-up, digital amplification, and post-event retargeting. - Develop campaign architecture, messaging, and creative across the customer journey in partnership with Product Marketing, Brand, Design, and Content, keeping positioning consistent across every campaign touchpoint. - Run continuous testing and experimentation across channels — from ad creative and landing pages to targeting and channel mix — to improve conversion and pause what isn't working. - Work with RevOps as the business owner of our demand gen and ABM stack, influencing what to evaluate, buy, or build in-house with AI tooling. - Own account penetration and pipeline contribution against new logo goals, managing campaign performance and building the reporting framework that defines what success looks like. Requirements - 6+ years in B2B demand generation, campaigns, or ABM, preferably at SaaS or AI-native/digital-first companies, with experience marketing to technical decision makers and practitioners across engineering, IT, or cybersecurity. - Proven track record building and scaling integrated campaigns across digital, events, content, and account-based channels, including where process didn't exist yet. - Deep ABM expertise across account tiering, buying group mapping, intent data, orchestration, and measurement. - Experience working with digital agencies across paid social and search. - Marketing automation and campaign operations fluency (Marketo, HubSpot, or similar) with an understanding of lead lifecycle management. - Data-driven, comfortable working in reporting tools like Hex or Tableau to interpret campaign performance and communicate it clearly to stakeholders. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, reinforcement learning to create specialized models, and pre-training for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves over 400 trillion tokens a month Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 190K - $225K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
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