Find AI Work That Works for You

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

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Solution Architect at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: London, United Kingdom This role is remote #LI-Remote

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the Team:Decagon’s Agent Success team is a newly formed and high-impact group that shapes how customers use and gain value from our product. You will work alongside a sharp and collaborative team of CSMs who build best practices, guide customers through high-value deployments and bring customer insight into product strategy. You will help define how we deliver value to enterprise customers and contribute to building a team that scales with the company. About the Role:As a founding member of Decagon’s Agent Success team you will partner closely with customers to guide deployments, support adoption and ensure they have the tools and insight they need to achieve meaningful outcomes. You will work cross functionally with Product and Engineering to surface customer needs, solve challenges and help shape how our technology performs in real-world environments. This role blends relationship management with hands-on execution and is ideal for someone who thrives in a fast-paced setting and wants to help build Agent Success at a high-growth company. This is a fully in office role based in our New York City office following onboarding in our San Francisco HQ.Responsibilities:Play a key role in shaping the Agent Success function and laying the groundwork for how it operates at DecagonBuild meaningful and long-lasting partnerships with our customers, and act as your customers' strategic advisorCo-pilot with your customers throughout their deployment journey, from early stages of project scoping all the way to full adoption and value realizationContinuously learn and upskill your expertise in our product features and functionality, as well as wider AI industry context to become an expert in best practicesExpertly communicate with customer stakeholders, from individual contributors all the way to C-level executivesIdentify and support new projects and initiatives to best support our team and customersCollaborate with Agent Product & Engineering teams to identify technical improvement opportunities and influence the product roadmap based on customer needsYou may be a good fit if you have:4+ years of customer facing experience in a technical and customer facing role in B2B SaaS Proven experience managing large customers and driving highly visible projects involving multiple stakeholdersExcellent communication and presentation skills, with the ability to simplify complex concepts for non-technical audiencesStrong interpersonal, persuasion and teamwork skillsBusiness understanding of GTM sales teams and processesStrong technical acumen and passion for the overall agent building process (ability to code not required or needed)Even better if you:Are familiar with Agentic AI tool deployments in large organizationsHave working knowledge of Customer Support processes, systems, and best practicesHave experience in a high-growth startup environmentHave a bachelor's degree in Science, Technology, Engineering, Math or similar fieldsBenefits:Comprehensive medical, dental, and vision benefits.Flexible vacation policy—take what you need to recharge.Daily meals and snacks to keep you energized and focused. Compensation: $160K-$220K OTE + equity

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the Team:Decagon’s Agent Success team is a newly formed and high-impact group that shapes how customers use and gain value from our product. You will work alongside a sharp and collaborative team of CSMs who build best practices, guide customers through high-value deployments and bring customer insight into product strategy. You will help define how we deliver value to enterprise customers and contribute to building a team that scales with the company. About the Role:As a founding member of Decagon’s Agent Success team you will partner closely with customers to guide deployments, support adoption and ensure they have the tools and insight they need to achieve meaningful outcomes. You will work cross functionally with Product and Engineering to surface customer needs, solve challenges and help shape how our technology performs in real-world environments. This role blends relationship management with hands-on execution and is ideal for someone who thrives in a fast-paced setting and wants to help build Agent Success at a high-growth company. This is a fully in office role based in our San Francisco headquarters.Responsibilities:Play a key role in shaping the Agent Success function and laying the groundwork for how it operates at DecagonBuild meaningful and long-lasting partnerships with our customers, and act as your customers' strategic advisorCo-pilot with your customers throughout their deployment journey, from early stages of project scoping all the way to full adoption and value realizationContinuously learn and upskill your expertise in our product features and functionality, as well as wider AI industry context to become an expert in best practicesExpertly communicate with customer stakeholders, from individual contributors all the way to C-level executivesIdentify and support new projects and initiatives to best support our team and customersCollaborate with Agent Product & Engineering teams to identify technical improvement opportunities and influence the product roadmap based on customer needsYou may be a good fit if you have:4+ years of customer facing experience in a technical and customer facing role in B2B SaaS Proven experience managing large customers and driving highly visible projects involving multiple stakeholdersExcellent communication and presentation skills, with the ability to simplify complex concepts for non-technical audiencesStrong interpersonal, persuasion and teamwork skillsBusiness understanding of GTM sales teams and processesStrong technical acumen and passion for the overall agent building process (ability to code not required or needed)Even better if you:Are familiar with Agentic AI tool deployments in large organizationsHave working knowledge of Customer Support processes, systems, and best practicesHave experience in a high-growth startup environmentHave a bachelor's degree in Science, Technology, Engineering, Math or similar fieldsBenefits:Comprehensive medical, dental, and vision benefits.Flexible vacation policy—take what you need to recharge.Daily meals and snacks to keep you energized and focused. Compensation: $160K-$220K OTE + equity

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Scale’s Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world’s most important decisions. As an AI Deployment Strategist you will be right at the center of it, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take full ownership of our deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results. In this role, you will work directly with data, engineering, business and AI leaders at some of the world’s top Enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery. This is a fast-moving, high-impact role that blends customer strategy, operations, product strategy and execution. You will lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects. You will own: Client Leadership & Growth: Own relationships with key enterprise customers and ensure every engagement runs smoothly, delivers value, and grows over time. Flawless Delivery & Execution: Manage delivery across multiple workstreams, ensuring timelines, quality standards, and SLAs are met. Strategic Account Expansion: Identify and pursue new opportunities within existing accounts that drive measurable business impact. Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations to remove blockers, drive efficiency, and continuously improve how we deliver. Strategic Feedback Loop: Synthesize and communicate insights from customer engagements to help inform the long-term product roadmap and strategic direction. Mastering Complexity & Ambiguity: Bring structure, clarity, and momentum to complex projects in dynamic environments. Ideally, you’d have: 5+ years of work experience in high-growth, high-ambiguity environments. Successful candidates have had experience in MBB consulting, banking or private equity or as a technical product or program management role in the tech industry, but we are open to alternative profiles. A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field) Exposure to GenAI solutions via your current role or personal projects  A proven track record in building and expanding client relationships Ability to understand the ML concepts and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Willingness to travel up to 50% depending customer and deployment needs Nice to have: Exposure to enterprise AI or data infrastructure products. Deeper industry knowledge in healthcare, consumer, financial services Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$189,200—$236,500 USDPLEASE 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, Cisco, DLA Piper, 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.

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About Loop Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.   About The Role Loop is growing its AI team and you’ll have the opportunity to build both AI models and features that directly impact Loop’s business. Loop is positioned to disrupt the incumbent freight audit and pay market, and is one of the companies leading the AI services wave, utilizing AI to automate complex back-office workflows and tasks. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. The range of work here is broad, you can work on everything from training and deploying in-house multimodal LLMs, scaling our inference infrastructure, or building out and shipping AI agent workflows. In doing so, you’ll have the opportunity to define how the AI and broader Loop team will grow.  What you will work on Our primary focus has been on document extraction and understanding, where we utilize multimodal LLMs, including our own in-house foundation model, to extract, normalize, and link data together into our domain model. As Loop’s customers rely on Loop to ingest and normalize highly accurate data, we hold ourselves to a high standard to build models with a very high level of accuracy. In tandem, Loop’s machine learning platform requires a high degree of reliability and scalability, and we expect our training and inference volume to scale several orders of magnitude in the coming year. Going forward, Loop will expand its AI capabilities, expanding into other areas such as workflow automation and audit, where we will utilize agents to tackle these problems.  This role spans multiple domains: ML modeling – training, evaluating, and deploying models. AI engineering – utilizing and orchestrating API LLM models to solve business problems at Loop. Backend engineering – building out atomic tasks, general backend work in the servicing or automation domain. Some projects you might work on: Building the next generation of our foundation model to scale document extraction to multiple languages as Loop scales internationally. Developing agents to audit freight invoices and ingest long contracts. Qualifications 1+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc.) Solid understanding of fundamental ML algorithms, especially multimodal LLMs. Experience fine-tuning LLMs and deploying them to production or building out agentic systems. Ability to ship high-quality code to production. Experience in cloud environments (AWS, Google, Azure). Strong communication skills and willingness to collaborate in a cross-functional team environment with domain experts. Keep up to date with the latest AI research. Ability to work in a fast-paced environment. Bonus Points Prior startup experience. End-to-end experience building out machine learning models and features. Compensation Base pay 130k - 200k Benefits & Perks Premium Medical, Dental, and Vision Insurance plans Insurance premiums covered 100% for you Unlimited PTO Fireside chats with industry leading keynote speakers Off-sites in locales such as Napa and Tahoe Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships

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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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€155.000—€205.000 EURLogistics 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. 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

false

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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€155.000—€205.000 EURLogistics 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. 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

false

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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€155.000—€205.000 EURLogistics 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. 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

false

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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€155.000—€205.000 EURLogistics 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. 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

false

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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€155.000—€205.000 EURLogistics 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. 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

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🎤 Why voize? Because we're more than just a job!At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people.We’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,100+ care facilities trust voize, and over 75,000 nurses rely on our AI companion to ease their daily workload.Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. We combine first-in-class technology with meaningful social impact!💡 Your MissionAs Founding Product Manager - US, you will build our US Senior Care product from the ground up in a true zero-to-one capacity. You'll navigate complex, unknown territory with minimal data, design our minimal lovable product, drive the first US pilots, and lay the foundation for a scalable US product experience. You'll work directly with of our founders & our US-expansion lead - playing a key role in the success of voize in the US. This is a white canvas problem for someone, who is hungry and who knows how to build deeply technical products from scratch in complex industries, like ours.🚀 Your Daily Business - No two days are alikePioneer from zero. Sit with nursing leaders in unfamiliar facilities. Navigate the messy complexity of US healthcare and emerge as the expert who speaks both nurse and EHR architect.Build the foundation. Lay the groundwork to seed a US product team post-PMF. Your work today becomes tomorrow's playbook.Build, test, repeat. Craft hypotheses, validate with real users in real workflows. Design discovery frameworks from scratch and learn what nurses truly need versus what they say.Ship what matters. Define sharp requirements, honest metrics, outcomes that move the business. Iterate with velocity. Every release teaches you something.Find the unlock. Identify the handful of features that turn skeptics into believers and make PMF inevitable.Win hearts, one nurse at a time. Make 10 nurses love voize. Then 100. Then 1,000. Scale what works, kill what doesn't.Move mountains. Treat "no" as a starting point. The best solutions live on the other side of impossible.Turn insights into momentum. Run scrappy MVP pilots, synthesize messy feedback into a laser-focused roadmap, and prove what's worth scaling.Navigate technical minefields. Drive EHR integrations where APIs are clunky and documentation is sparse. Make the hard calls that unblock progress.Shape the business, not just the product. Partner with GTM on pricing and positioning. Your insights inform our long-term US strategy.🤝 Your Skillset - What you bring to the tableSeveral years in Product Management shipping SaaS or AI products - your path into Product Management can have taken some twists and turns, we highly appreciate founders, entrepreneurs and start-up veterans.Proven zero-to-one product experience - you've built complex products from scratch with minimal data, no prior customers & ambiguous requirements and led them to measurable success.Turning complexity into clarity - you thrive when given complex problems with no obvious solution. You have deep knowledge in user research and problem validation, ensuring we solve the right problemsStrong product intuition - you are able to go beyond user requests, you make smart decisions to drive innovative solutionsAnalytical mind set & data-driven - you are comfortable with product analytics, metrics, and user engagement data.User centricity - you have experience in creating intuitive, user-friendly features in collaboration Design & Engineering.Excellent stakeholder management - you collaborate effectively with leadership, GTM, partners, and customers.Language: Fluent English (C1/C2). German a plusWillingness to spend significant time on‑site with US customers; approx. every 4-6 weeks.Nice to have:Healthcare or US market experience is great to have, but not a must-have.🎯 Our Success Mindset - How we work at voizeResilience is one of your strengths - you see challenges as opportunities, not obstaclesIterative working suits you - you test, learn, and improve constantly instead of waiting for perfectionYou value open communication and constructive feedback - and contribute to a positive team culture🌱 Growing together - what you can expect at voizeWe are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for peopleWe foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across GermanyBecome a co-creator of our success with stock optionsGenerous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language coursesYou decide when you work best, that means flexible working hours and a good hybrid set-up.✨ Ready to talk? Apply now! 🚀We're looking for entrepreneurial product builders — perhaps hungry founders who've built before, or zero-to-one product managers who thrive in ambiguity. You're encouraged to apply even if your experience doesn't precisely match the job description.Your skills and experience will stand out & set you apart - especially if your career has taken some extraordinary twists and turns. Voize welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.We're excited to hear from you!

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About MagicalOur agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Hugging Face, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleAs a Deployment Strategist, you’ll own the success of our largest and most strategic customers post-sale. You’ll be the connective tissue between the customer’s business goals and Magical’s agentic AI platform, partnering closely with Deployment Engineers to deliver high-impact implementations and drive expansions.You will:Own end-to-end implementations for a portfolio of customers - from pre-kickoff planning through go-live, early adoption, and scale-up.Act as engagement manager: build and run project plans, align stakeholders, manage risks and dependencies, and keep workstreams moving across customer, Magical, and third parties.Translate business goals into a deployment plan, defining use cases, success metrics, milestones, and an execution roadmap alongside our Deployment Engineers.Run regular customer touchpoints (weekly/bi-weekly standups, stakeholder syncs, exec readouts) to keep projects on track and surface decisions early.Programmatically run business reviews (QBRs/MBRs) that tell a clear ROI story, highlight operational impact, and create a natural path to expansion.Become a trusted advisor on workflow redesign and change management, especially in healthcare revenue cycle and operations-heavy environments.Partner with GTM on expansion: identify new workflows, sites, and departments to automate; shape proposals and rollout plans that make expansion low-friction.Champion the voice of the customer internally, feeding structured insights back to Product, Engineering, and Sales to influence roadmap and playbooks.Codify the playbook: help build templates, dashboards, checklists, and best practices that make every future deployment faster and more repeatable.You’ll work side-by-side with our Deployment Engineers and AE team, typically managing several customer programs at once.About youYou have 3–6+ years of experience in roles like management consulting, customer success, program management, solutions/engagement management, or similar in an enterprise SaaS or services environment.You’ve led complex implementations or transformation programs end-to-end, coordinating multiple stakeholders and workstreams to successful go-live.You’re exceptional at relationship building — from frontline operators to VP/C-suite — and comfortable running recurring touchpoints, workshops, and executive readouts.You’re structured and analytical: you think in frameworks, define clear KPIs, and can turn messy operational data into a crisp impact narrative.You have a commercial mindset: you naturally look for ways to deepen value, expand scope, and help Sales frame and close expansions without being “salesy.”You’re comfortable working with technical partners (e.g., engineers, solutions architects) and can translate between business requirements and technical execution.You thrive in early-stage chaos: you want to write the playbook, not just follow one.You have a strong bias to action and are willing to do whatever it takes to unblock progress and make the deployment successful.Bonus: experience in healthcare, revenue cycle management, or other operations-heavy domains; exposure to AI/automation is a plus, not a requirement.Located in SF/Toronto or willing to relocate.What we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaIf you’d like, I can also spin a shorter “LinkedIn version” and a more formal JD (with levels/comp bands placeholders) from this.

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About the TeamOpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, and institutions shaping the future of AI. Our approach is grounded in shared stewardship: we collaborate with communities, educators, stakeholders and frontline organizations to co-create AI tools and practices that reflect real needs and expand opportunity.The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships to ensure that diverse perspectives inform our work. We work shoulder-to-shoulder with communities — meeting people where they are, listening first, and building solutions together. Through sustained collaboration and shared learning, we co-create pilots, tools, and local programs that reflect real needs; we then partner with public officials and peer organizations to help bring those community-shaped ideas to broader practice.In close partnership with our research, product, and policy colleagues, the U.S. Policy and Partnerships team leads our Global Affairs engagement in the U.S. at the federal, state, and local levels, working across regions to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere.About the Role As Engagement and Outreach Lead, you will help lead OpenAI’s efforts to build trusted, long-term relationships with third-party organizations, civic and community leaders, and mission-aligned networks that help ensure AI benefits everyone. This role blends strategic partnership and policy development with visible public engagement and coalition-building. You’ll represent OpenAI across education, workforce, technology policy, civic, and public-interest ecosystems – listening to diverse perspectives, co-designing programs, and translating community insight into action across our product, policy, and social impact work.Reporting to the U.S. Partnerships Lead, Global Affairs, you’ll help shape how OpenAI shows up in communities at local, state and federal levels —leading engagement strategies, partnerships, and public outreach efforts that build understanding of AI, expand opportunity, and strengthen resilience. This role requires strategic vision, deep relationship instincts, and comfort engaging at all levels – from grassroots organizations to national convenings and thought leaders.This role will involve:Developing and leading a proactive engagement strategy that strengthens OpenAI’s relationships with a range of stakeholders, including community groups, parent organizations, civil and human rights organizations, workforce organizations, educators, youth programs, teen safety organizations, unions, consumer, technology policy organizations and civic innovators.Serving as a visible ambassador for OpenAI – representing the company at public forums, conferences, convenings, and in media or influencer collaborations.Building durable partnerships with third-party organizations that advance shared goals in key areas, including but not limited to, education, workforce development, AI safety, and mental health.Establishing ongoing mechanisms for feedback loops between community partners and OpenAI’s internal teams (Policy, Safety, Product, Legal, Communications, and OpenAI Academy).Designing and overseeing multi-stakeholder pilots that test AI use cases for public benefit – ensuring they are measurable, inclusive, and scalable.Leading program scoping, partner recruitment, budgets, and impact measurement; building repeatable playbooks and toolkits that enable regional replication.Collaborating closely with colleagues across OpenAI to ensure community input informs product development, safety practices, and external narratives.Coordinating with internal experts and cross-functional teams to address issues of content integrity, data governance, mental health and wellbeing, privacy, and AI resilience.You’ll thrive in this role if you:Are a seasoned leader at the intersection of technology and public policy, comfortable working in dynamic, fast-paced, and rapidly evolving environments.Inspire and develop diverse teams, empowering colleagues to excel while maintaining accountability and high ethical standards.Are willing to roll up your sleeves – with humility and good nature – and do the work with teammates in a high-energy, start-up, campaign environment.Enjoy building coalitions and thrive both independently and as part of a high-performing, peer-led team.Are a strong communicator and public advocate who can translate complex technical and policy concepts into compelling narratives for diverse audiences.Embrace cross-functional collaboration and can unify technical, legal, commercial, and operational stakeholders around a shared mission.We’re looking for a blend of:8+ years of experience in partnerships, public engagement, or external affairs with a track record of leading large-scale, high-impact initiatives.Demonstrated success cultivating and managing relationships across sectors—community, government, nonprofit, labor, or philanthropic.Excellent public speaking, facilitation, and media engagement skills.Strategic thinker and builder who can design programs, lead teams, and execute with discipline.Strong organizational and project management skills; comfort navigating complex, fast-moving environments.Active listener with cultural fluency and empathy; able to earn trust across diverse audiences.Willingness to travel frequently to build relationships and oversee on-the-ground programs.Experience representing an organization publicly—media, conferences, or thought-leadership platforms.Background working with unions, workforce programs, education institutions, or mental health initiatives.Familiarity with community-centered design, participatory research, and program evaluation.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the role: As a member of the Ecosystem Partnerships team, you will help shape some of the most impactful partnerships, programs, and platforms in the AI industry. You will define and execute strategy for our app and connector ecosystem - cultivating deep partner relationships, negotiating complex commercial and technical agreements, and ensuring we collaborate with the right strategic partners to deliver industry-defining product experiences.You are a highly capable generalist with exceptional product instincts. You have experience working across consumer and enterprise products. You understand how partner integrations can strengthen first-party product experiences, and you have built or scaled platform ecosystems. You operate with urgency and clarity, motivating internal and external teams - product, engineering, design, operations - toward shared goals. You are resourceful, independent, and focused on unlocking growth and innovation.This role is based in San Francisco, CA or New York, NY. We operate in a hybrid model (3 days/week in office) and offer relocation assistance.In this role, you'll:Partner closely with Product to define and execute vision for the app and connector ecosystemDevelop a prioritized partnership strategy that accelerates innovation, enhances customer value, and drives business growthTranslate partner incentives and industry dynamics into product launch strategiesLead full lifecycle deal execution—from identifying and prioritizing partners to structuring, negotiating, and closing agreementsRally cross-functional stakeholders around partnership opportunities and requirementsCommunicate clearly and credibly with executive leadership to drive alignment and decision-makingYou Might Thrive in This Role If You HaveExperience in Product Partnerships, Product Management, or Dev Rel. (Open to PM backgrounds)A track record of launching and scaling technology ecosystems, ideally that serve both B2B and B2C customersExperience with a wide range of deal types, from strategic enterprise agreements to partner programs and platform launchesStrong ability to collaborate with product and engineering leaders and build trust with external partnersExceptional communication, structured thinking, and program management skillsExcellent product judgmentStrong negotiation skills with a focus on creating aligned valueCreativity, adaptability, and a willingness to challenge assumptionsQualifications10+ years of experience in product partnerships, product management, or developer relationsExperience building and growing developer or platform ecosystemsProven ability to manage both B2B and B2C partnershipsDemonstrated success structuring and negotiating complex commercial and technical dealsSelf-driven, relationship-oriented, and adept at operating in a fast-changing environmentAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamWe are a small and fast-moving partnerships team that shapes and executes OpenAI’s most strategic collaborations in India. We work at the intersection of product, growth, and market expansion to build impactful relationships that accelerate adoption and unlock new use cases for OpenAI’s technologies. The team partners closely with product, engineering, research, marketing, finance, legal, and operations to design and deliver partnerships that scale OpenAI’s presence and relevance across diverse markets.Our focus is on establishing long-term strategic partners and driving sustainable growth through integrated, high-impact product experiences across consumer and B2B offerings in the region.About the RoleAs India Product Partnerships Lead, you will lead and scale strategic partnerships primarily in India. You will be responsible for initiating, structuring, and growing partnerships that expand OpenAI’s distribution, deepen user engagement, and accelerate product adoption across the region.This role requires strong commercial judgment, regional market fluency, and the ability to work closely with product teams to translate strategic opportunities into scalable partnership models. You will operate at both strategic and execution levels — shaping partnership strategy while driving concrete outcomes that contribute to OpenAI’s growth.This role is based in Bangalore or New Delhi. You’ll be responsible for:Initiating and scaling strategic partnerships in India that drive user growth, distribution, and adoption for OpenAI’s consumer and B2B offerings.Establishing and managing long-term strategic partners in India, serving as the primary relationship owner and strategic lead.Identifying and executing market-specific growth opportunities such as bundled offerings, embedded distribution, platform integrations, and co-developed product experiences.Shaping joint product strategy with partners by aligning roadmaps, defining shared priorities, and unlocking new use cases tailored to regional needs.Structuring, negotiating, and managing complex partnership agreements from inception through launch and scale, ensuring commercial and strategic alignment.Creating and operating governance models with partners through regular strategic reviews, executive syncs, and performance check-ins.Defining success metrics and tracking impact across growth, adoption, engagement, and partner performance, communicating results to senior leadership.We’re looking for someone with:8+ years of experience in product partnerships, strategic partnerships, or business development within the technology or digital ecosystem.Proven experience driving growth and distribution partnerships in India.Demonstrated ability to initiate and scale partnerships that unlock measurable growth and adoption.Strong experience negotiating and structuring complex agreements that span product integration, commercial strategy, and joint go-to-market efforts.Deep understanding of India market dynamics and the ability to tailor partnership strategies to local contexts.Excellent stakeholder management skills with the ability to collaborate cross-functionally and influence at senior levels.A self-directed, highly adaptable mindset with comfort operating in fast-changing and ambiguous environments.Strong communication skills and a collaborative, solutions-oriented approach.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products.About the roleWe are seeking a Sales Engineering leader to own and elevate technical aspects of OpenAI’s sales motion. This role is responsible for ensuring customers realize maximum value, impact, and adoption from our models and platforms. You're a deeply technical, customer-obsessed leader who represents the voice of the customer and unifies our customer-facing technical teams around a cohesive, world-class experience across the entire customer lifecycle.This role is critical to the success of our go-to-market strategy and will have a meaningful influence on both the direction of our technology in the market and how organizations adopt it. You will oversee technical aspects of the sales process, spanning pre-sales solution design and technical validation. You'll also partner closely with post-sales teams as needed to ensure continuity, trust, and long-term success for our customers.You will lead and develop a high-performing team of Solutions Engineers who rely on your leadership to deliver exceptional technical expertise, credibility, and customer outcomes. This role works in close partnership with Sales, Solutions Architecture (post-sales), Customer Success, Security, and Product, and reports directly to the Head of Technical Success, APAC.This role is based in our Sydney office. 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:Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele.Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability.Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies.Act as the escalation technical contact for key clients in your sales segment, building trust and a direct line of communication with executive-level stakeholders.Be a thought leader in the industry, advocating for the effective and innovative application of our AI technologies across various sectors.Champion a customer-first approach within the organization, inspiring your team to always prioritize client satisfaction and success.You’ll thrive in this role if you:Possess deep technical acumen, particularly in AI and related platform technologies, enabling you to engage effectively with technical and non-technical stakeholders alike.Are experienced in developing and executing large-scale technical success strategies.Excel in motivating and steering a high-performing team, fostering both individual and collective excellence.Have experience leading teams spanning across multiple APAC markets and geographies.Can distill complex technical concepts into clear, comprehensible communication, adaptable to diverse audiences.Embody a customer-centric philosophy, motivating your team to embrace this ethos.Demonstrate outstanding presentation and communication skills, particularly when interacting with executive-level individuals.Approach your work with humility, a collaborative spirit, and a continuous learning mindset.Are adept at problem-solving, prioritizing effectively under pressure.Are deeply committed to the ethical and safe advancement of AI technology.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Role OverviewWe are looking for a high-caliber Data Engineer who can architect and scale the data systems that power our AI workflows. You’ll be responsible for building reliable data pipelines, integrating external APIs, maintaining clean and structured data models, and enabling the product and ML teams to iterate quickly.You should thrive in ambiguous environments, enjoy wearing multiple hats, and be comfortable designing end-to-end data solutions with minimal direction.What You’ll OwnDesign, build, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.Manage ingestion from third-party APIs, internal systems, and customer datasets.Develop and maintain data models, data schemas, and storage systems optimized for ML and product performance.Collaborate with ML engineers to prepare model-ready datasets, embeddings, feature stores, and evaluation data.Implement data quality monitoring, validation, and observability.Work closely with product engineers to support new features that rely on complex data flows.Optimize systems for performance, cost, and reliability.Contribute to early architecture decisions, infrastructure design, and best practices for data governance.Build tooling that enables the entire team to access clean, well-structured data.Who You AreBuilder MentalityYou’re a hands-on engineer who thrives in a fast-paced environment, enjoys autonomy, and takes ownership of problems from start to finish.Strong CommunicationYou translate technical complexity into clarity. You work well with ML, product, and GTM partners.Practical, Not AcademicYou can design elegant systems but default to shipping solutions that work and can be iterated on.Detail-Oriented & ReliableYou care about clean pipelines, reproducibility, and data correctness.What You Bring3+ years of experience as a Data Engineer, ML Engineer, Backend Engineer, or similar.Proficiency in Python, SQL, and modern data tooling (dbt, Airflow, Dagster, or similar).Experience designing and operating ETL/ELT pipelines in production.Experience with cloud platforms (AWS, GCP, or Azure).Familiarity with data lakes, warehouses, and vector databases.Experience integrating APIs and working with semi-structured data (JSON, logs, event streams).Strong understanding of data modeling and optimization.Bonus: experience supporting LLMs, embeddings, or ML training pipelines.Bonus: startup experience or comfort working in fast, ambiguous environments.What Success Looks LikeStable, documented, testable pipelines powering ML and product features.High-quality data consistently available for analytics, modeling, and core product workflows.Faster iteration cycles for the Engineering and ML teams due to improved tooling.Clear visibility into data quality and reliability.Strong cross-functional collaboration and communication.Why ArtisanBuild core systems at the heart of a fast-growing AI company.High autonomy, high impact, zero bureaucracy.Work with a talented, ambitious team solving meaningful problems.Shape the data platform from the ground up.