AI Software Engineer Jobs

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About the TeamIT Systems Operations is the operational layer within Security and IT that connects core teams and keeps employee-facing workflows, systems, and tools running reliably across the Employee Technology & Experience program. We design and implement the workflows, automations, and integrations that power the employee lifecycle, access, ITIL processes, and core business systems, partnering closely with Security and cross-functional teams to deliver solutions that work end to end.Our mandate spans solution design, system implementation, workflow engineering, automation, and the reliability of the platforms behind employee-facing processes. We work closely with Support to resolve complex issues, refine workflows, and ensure our solutions perform reliably in real-world conditions. We turn operational problems into scalable, engineered systems that reduce friction, codify patterns, and help OpenAI grow predictably and securely.About the RoleAs a Solutions Engineer, you will design and implement scalable, ITIL-aligned workflows using OpenAI technology and models to automate and improve core IT processes. You will deliver cross-functional solutions from requirements and architecture through build, rollout, and operationalization across ITSM, IAM, SaaS platforms, identity-adjacent systems, lifecycle automation, access workflows, integrations, and enterprise orchestration.You will reduce operational toil by building durable automations that ensure systems behave consistently, predictably, and securely. You will also work closely with IT Support Operations to eliminate root causes, streamline workflows, and equip Support with the least-privilege access needed to operate effectively.This is an on-site role based in our San Francisco office with a minimum presence of three days per week.In this role, you will:Solution Design and ImplementationTranslate unclear requirements into structured workflows and dependable systems.Build integrations across identity, SaaS, ITSM, internal applications, and endpoints.Deliver implementations from architecture through rollout and documentation.Support PartnershipAddress recurring issues with targeted workflow and system improvements.Equip Support with training, Playbooks, and long-term administrative patterns.Manage on-call rotations and technical escalations across IT and Security.Workflow, Automation, and OrchestrationBuild automated request flows across Slack, ChatGPT, Atlas, Jira, Linear, Incident.io, and Retool.Use APIs, Terraform, scripting, and low-code tools to remove manual effort.ITIL Application and ManagementMaintain Incident, Request, Change, and Problem workflows across modern ITSM tools.Provide repeatable workflow templates for teams across the company.IntegrationsExecute user, device, and SaaS integration playbooks.Lead identity, access, and ITSM migrations during acquisitions.System AdministrationMaintain lifecycle, collaboration, and automation platforms such as Slack Grid, Google Workspace, Atlassian, and GitHub.Ensure system reliability through monitoring, logging, workflow health, and integration upkeep.You might thrive in this role if you:Instinctively break down messy, ambiguous processes and turn them into clear, logical, well-structured systems.Navigate technical and non-technical teams with ease, translating needs and aligning stakeholders without friction.Identify patterns, eliminate repetition, and design solutions that scale rather than relying on manual effort.Understand identity as a foundation of enterprise architecture and think holistically about trust, entitlements, and lifecycle flows.Adapt quickly to new tools, understand how systems fit together, and enjoy learning the inner workings of enterprise platforms.Think in systems naturally and identify where data or workflows break down, and design clean, resilient cross-system connections.You appreciate structured frameworks like ITIL and Agile, using them to bring order, predictability, and continuous improvement.You communicate clearly through runbooks and written guidance that help others move faster and reduce institutional knowledge gaps.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 LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.We're doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what's next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well designed tooling we're leveraging Jamie's experience as an early member of Google's generative AI team and Steve's experience building for operational teams at Stripe, as well as the experience of our team who've joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD 50m from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:- The largest telehealth company in Australia- The largest bank for teens in the US- One of the largest NFT marketplaces by trading volume- One of the largest Web3 gaming companies- … and a handful of other enterprise customers with over 1 million support tickets a year.What's unique about this opportunity?Warm, mature, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. We're building a small, great team. We aim to match unicorn / scale up pay for OTE and offer uncapped commission with aggressive accelerators, as well as an equity stake in the business. Our team gets the same monthly updates we send to our investors because they're investors and owners too.On the technical cutting edge. With our users we're defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it's white space for us to invent. The AI agent problems we're solving are beyond the cutting edge at the biggest research labs.No nonsense recruitment process. The process is: 1) informal chats with Steve and Jamie to hear our pitch and understand your interests and goals, 2) a two day paid work trial where you come in and ship with us. There's no better way for each of us to figure out if we like working together than to work together!About the role and youThis is a foundational sales opportunity to join Lorikeet's nascent Account Executive team. You'll be instrumental in driving our growth by securing new enterprise customers and expanding our presence in key markets. You'll work directly with our technical founders to refine our sales strategy, establish the playbook for future sales team members, and help grow the team. We’ve been selling the product so we know the value of sales perspectives in product development, and you’ll have a seat at the table in shaping our product strategy and roadmap.You'll be selling a transformative AI solution that delivers immediate and measurable ROI to customers, working with technical decision-makers who understand the value of automation for their support operations. Your success will directly impact our company trajectory and establish you as a key leader in our organization.Our customers and revenue are >50% in the US, but today most of our team and our headquarters is in Sydney, Australia, where we'd love to host you for onboarding.The right candidateWe're looking for a strategic, customer-focused sales professional to help us accelerate our growth. This role is perfect for someone who is:- Excited about AI and can effectively communicate its transformative potential to complex businesses- Naturally curious about customers' business challenges and motivated to find the right solutions- Comfortable selling to technical and business stakeholders in enterprise organizations- Motivated by impact and wants to play a key role in an early-stage, fast-moving startupAs an early team member, you'll have the agency to take initiative and shape our sales approach. You'll influence not just individual deals, but our entire go-to-market strategy.What you'll do- Own the full sales cycle for enterprise prospects, from prospecting to closing deals- Develop deep understanding of customer support operations and articulate how Lorikeet's AI can transform them- Partner with our product and implementation teams to ensure smooth customer onboarding- Help establish sales processes, documentation, and best practices as our founding AE (we have an AI-first, next-gen stack that includes Attio as a CRM, Grain for recording and coaching, and Unify, Rox and Clay for account intelligence, planning and prospecting - we’d welcome your input on selecting and building the right stack)- Provide market intelligence and customer feedback to inform product development- Build and nurture relationships with key decision-makers at target accounts- Collaborate with founders to refine our value proposition and sales messaging- Meet and exceed revenue targets through both new customer acquisition and expansionYou might be a fit if you- Have 5+ years of experience in new business / acquisition enterprise SaaS sales, ideally in B2B software or AI-driven solutions- Have a proven track record of building pipeline and consistently meeting or exceeding sales targets, ideally in an early stage or entrepreneurial setting that involves creating structure and selling innovative products in new markets- Are comfortable with complex, consultative sales cycles and selling to multiple stakeholders- Can effectively communicate technical concepts and ROI to both technical and business audiences- Are naturally curious and enjoy understanding the nuances of customer operations- Are an excellent communicator who can build trust and relationships at all levels- Are excited about AI and its potential to transform how businesses operate (experience with AI tools is a plus)Applicants must be based in the US and work in the United States without sponsorship.If you don't quite match this but have a unique background, skillset, or experience that you think we should consider we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences.

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AI is the new electricity—and at DeepLearning.AI, we're on a mission to put that power in people’s hands by empowering everyone to build with AI. As an education technology company, we're democratizing AI learning so anyone can build the future. We may be a small team, but we bring serious credentials, tackle exciting marketing challenges, and work alongside wonderful people who share our vision. Want to use your developer skills to make an impact? AI is the new electricity. Millions of AI engineers are needed to transform industries with artificial intelligence, and we’re building an education platform to train them. Led by renowned AI researcher, entrepreneur, and educator Andrew Ng, DeepLearning.AI provides a world-class education to people around the globe to empower everyone to build with AI. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.  We are looking for a developer advocate whose mission aligns with skilling up developers (and non developers) in AI. The right candidate is passionate about AI and how it can be used to improve the human experience — from vibe coding to building agentic workflows that accomplish complex tasks autonomously. You are great at translating technical concepts into content and tooling that’s clear, engaging, and helpful.  You can blend technical storytelling with content creation across blog posts, videos, livestreams, technical publications, open source projects, podcasts, events, and community platforms.  Whether it's open source users or enterprise customers, you’re here to help developers upskill, learn, and succeed with DeepLearning.AI’s courses and products.  This position reports to the Head of Marketing and should reside in the San Francisco Bay Area. This is a hybrid role with three days a week from our Mountain View office. You must already have, or be able to obtain, authorization to work in the United States.Here’s what you’ll do:Create technical content: Write blog posts, record videos, build demos, and publish tutorials that showcase AI concepts from our courses.Engage communities: Participate in discussions on Reddit, X, Slack, forums, and LinkedIn—answer questions, gather feedback, drive adoption.Collaborate cross-functionally: Work with marketing on content strategy, product teams on developer experience, and events teams on live engagement.Represent us publicly: Speak at conferences, meetups, and podcasts.Champion developers: Surface pain points to internal teams and help shape our developer-facing strategy.Here are the skills you should have:3+ years in Developer Relations (DevRel, Developer Advocacy, or Community).Technical/CS background with strong AI/software engineering knowledge.Portfolio demonstrating technical communication skills (share your GitHub!).AI-native approach: You actively use AI to build and optimize—"vibe coding" welcome.Exceptional ability to explain complex topics clearly across multiple formats.Data-driven with ability to track and demonstrate impact.Team player comfortable with startup ambiguity.Bay Area-based or willing to relocate.Can travel 15-20%Bonus if you have:Active presence in AI developer communities (X, blog, OSS projects).What we offer:DeepLearning.AI offers a comprehensive benefits package including medical, dental, and vision coverage, a 401(k) plan, a monthly education stipend, flexible PTO, and much more. What you get working with us:Being part of a world-class team of subject matter experts from various fields (marketing, operations, product, etc.) trying to change the world.Work across cultural and geographical lines alongside our offices in different parts of the world.A culture of lifelong learning supported with a monthly stipend for professional development.The opportunity to be exceptionally creative with your high-impact ideas.Our defining values:We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and people we hire.We default to action: We are comfortable acting with limited information and taking ownership of our decisions. We ask why: We ask the hard questions, and are open to being in the wrong. We advocate for the best ideas, not our ideas. We are honest and authentic: We are transparent as an organization, over-communicate to build trust and share our failures just as we do our successes.We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.At DeepLearning.AI, we are committed to fostering a workplace of mutual respect and equal opportunity. We hire based on qualifications, merit, and business needs, without discrimination on any characteristic - whether protected by applicable laws or not. Our goal is to attract, recruit, develop, and retain the best talent from a diverse candidate pool.

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About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Machine Learning Solutions Engineer to join us in building our GTM team. The Role As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. You are the engineering-focused counterpart to the commercial team, partnering with Account Executives to architect and implement solutions for prospects on the cutting-edge of AI. You will be the expert on how our platform integrates and scales, establishing technical credibility and guiding prospects through complex evaluations, especially for applications in robotics, autonomous systems, and multimodal AI. You are both a deep technical builder and an expert business value translator. Responsibilities -Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win-Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path. -Architect, build, and deliver highly-technical, customized product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems.-Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations.-Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data.-Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs).-Serve as the "voice of the customer" to our Product and Engineering teams, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap. About You 2-3+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account ManagementExpert-level proficiency in Python is a must. You have deep, hands-on experience building and debugging scripts and solutions using Python SDKs and REST APIs.Excellent communication and presentation skills. You can confidently command a room of engineers and just as easily simplify complex concepts for senior decision-makers.Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts.A "hacker mindset" with a strong engineering foundation: you are a creative problem-solver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles.A solution-driven and customer-obsessed mindset. While you understand commercial goals, your passion is for solving complex technical problems and ensuring customer success.Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord.Beneficial: Hands-on experience working with multimodal AI, sensor-fusion, physical-AI, LiDAR data, or in the robotics industry. What We Offer -Competitive salary and equity in a hyper growth business.-Strong in-person culture: most of our team is in the office 3+ days a week.-Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+.-We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.-25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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About The Role Join us at the forefront of AI innovation as a Growth Strategy Operations Analyst, where you'll have immediate impact on how we scale to serve the world's leading AI teams. This is a rare opportunity for a talented recent graduate to shape the operational backbone of our go-to-market strategy, working directly with our VP of Growth and senior leadership. You'll own the design and implementation of growth systems that directly influence our trajectory in one of tech's most exciting spaces. With 200+ world-class AI teams already trusting us, you'll help architect the operations that will take us to the next level. This role offers unparalleled exposure to cutting-edge marketing technology, strategic decision-making, and the chance to build scalable systems from the ground up. Perfect for someone with a rigorous analytical background who wants to apply their problem-solving skills to real-world growth challenges, you'll have the autonomy to experiment, optimise, and drive measurable impact from day one. You'll be joining during a pivotal growth phase where your contributions will directly shape how we scale. If you're excited about working at the intersection of strategy and operations in the AI space, this role will accelerate your career in ways traditional graduate schemes simply cannot match. ResponsibilitiesArchitect Growth Systems - Design and build automation workflows including lead scoring, routing, and nurturing systems that convert high-value prospects into pipeline opportunities.Own Marketing Technology - Take ownership of our martech stack (HubSpot, Clay, enrichment tools) - optimising integrations and ensuring peak performance to support growth targets.Drive Strategic Alignment - Partner with VP of Growth and Sales leadership to translate go-to-market strategies into operational excellence, ensuring seamless marketing-sales handoffs.Execute Digital Campaigns - Lead campaign execution from setup and automation through to performance tracking and continuous optimisation.Generate Data Insights - Analyse lead flow and conversion metrics, transforming data into actionable insights that drive strategic decisions.About YouExceptional Academic Background - Recent graduate or early-career professional with strong analytical foundation and proven problem-solving abilities.Systems Thinker - You see patterns others miss and design elegant solutions to complex operational challenges.Technical Aptitude - Quick learner comfortable with technology; experience with CRMs, automation platforms, or SQL is a plus but not required.Strategic Mindset - Think in terms of leverage and scalability, always questioning how to achieve 10x results rather than incremental improvements.Natural Collaborator - Outstanding communication skills to work effectively across Growth, Sales, and Leadership teams.Data Fluency - Excited about working with data to uncover insights, whether through Excel, SQL, or new analytical tools.What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- -Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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About The Role Join us at the forefront of AI innovation as a Growth Strategy Operations Analyst, where you'll have immediate impact on how we scale to serve the world's leading AI teams. This is a rare opportunity for a talented recent graduate to shape the operational backbone of our go-to-market strategy, working directly with our VP of Growth and senior leadership. You'll own the design and implementation of growth systems that directly influence our trajectory in one of tech's most exciting spaces. With 200+ world-class AI teams already trusting us, you'll help architect the operations that will take us to the next level. This role offers unparalleled exposure to cutting-edge marketing technology, strategic decision-making, and the chance to build scalable systems from the ground up. Perfect for someone with a rigorous analytical background who wants to apply their problem-solving skills to real-world growth challenges, you'll have the autonomy to experiment, optimise, and drive measurable impact from day one. You'll be joining during a pivotal growth phase where your contributions will directly shape how we scale. If you're excited about working at the intersection of strategy and operations in the AI space, this role will accelerate your career in ways traditional graduate schemes simply cannot match. ResponsibilitiesArchitect Growth Systems - Design and build automation workflows including lead scoring, routing, and nurturing systems that convert high-value prospects into pipeline opportunities.Own Marketing Technology - Take ownership of our martech stack (HubSpot, Clay, enrichment tools) - optimising integrations and ensuring peak performance to support growth targets.Drive Strategic Alignment - Partner with VP of Growth and Sales leadership to translate go-to-market strategies into operational excellence, ensuring seamless marketing-sales handoffs.Execute Digital Campaigns - Lead campaign execution from setup and automation through to performance tracking and continuous optimisation.Generate Data Insights - Analyse lead flow and conversion metrics, transforming data into actionable insights that drive strategic decisions.About YouExceptional Academic Background - Recent graduate or early-career professional with strong analytical foundation and proven problem-solving abilities.Systems Thinker - You see patterns others miss and design elegant solutions to complex operational challenges.Technical Aptitude - Quick learner comfortable with technology; experience with CRMs, automation platforms, or SQL is a plus but not required.Strategic Mindset - Think in terms of leverage and scalability, always questioning how to achieve 10x results rather than incremental improvements.Natural Collaborator - Outstanding communication skills to work effectively across Growth, Sales, and Leadership teams.Data Fluency - Excited about working with data to uncover insights, whether through Excel, SQL, or new analytical tools.What We Offer - Competitive salary, commission and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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About Us   At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. The Role As an AI Project Manager you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. This role is perfect for individuals with a passion for AI, data operations, and solving real-world problems.Your Responsibilities:Project Leadership – Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams.Data Quality Optimization – Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops.Client & Stakeholder Engagement – Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process.Annotators Training & Coaching– Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices.Product Innovation – Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies.You have a strong foundation in technical roles with1-2 years of work experience in top tier management consulting firm (e.g., MBB) or Investment bankingYou are a problem solver with a strong analytical mindset and an entrepreneurial approach to managing projects.You have experience in project management, data operations, or AI-related workflows (previous experience in PMO roles is a plus)You are proficient in scripting languages like Python, SQL, or familiarity with relational databases and data annotation tools.You are passionate in AI and machine learning, with experience in computer vision or generative AI being a strong plus.You thrive in fast-paced environments and collaborate with cross-functional teams to drive innovative solutions.You have communication and stakeholder management skills, with the ability to translate technical concepts into clear action plans.What we offer: - Competitive salary & commission - Real opportunities to grow. We’ll be growing insanely fast over the next 24 months and you’ll have all the opportunities for growth that you can handle. If you're excited about working on cutting-edge AI data solutions and making a real impact in the field of machine learning, we'd love to hear from you!

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Director of Applications Engineering will lead Shield AI’s global team of Hivemind Application Engineers responsible for deploying Hivemind with customers across defense and allied nations. This leader will own technical customer success from onboarding through operational deployment—ensuring mission outcomes, technical excellence, and value realization at scale.  This role requires a blend of technical depth, customer empathy, and organizational leadership to drive Hivemind’s adoption across unmanned platforms worldwide. What you'll do:Customer Technical Lifecycle Management Develop and implement a comprehensive technical customer engagement strategy from initial onboarding through full operational deployment and ongoing expansion. Oversee the creation and execution of detailed phased engagement plans (e.g., 3-6-9-12 months) tailored to customer needs and strategic objectives. Champion the development of customers as “sovereign capabilities,” enabling them to become self-sufficient operators of Hivemind. Team Leadership & Development Build, mentor, and lead a high-performing global team of Application Engineers. Manage distributed teams across the globe (USA, Japan, Korea, Singapore, EU etc.). Foster a culture of customer obsession, proactive problem-solving, and technical excellence. Own and drive training programs for managers and ICs Set and drive team OKRs to meet company OKRs Customer Technical Education Set standards and drive creation of high-quality customer training materials. Oversee the creation of technical documentation, best practice guides, and learning materials. Delivery Excellence & Project Oversight Drive execution of key customer projects, including CONOP demonstrations, integrations, and production deployments. Oversee execution for high-impact events such as Tech Days and customer demonstrations. Implement processes for milestone tracking, risk management, and timely delivery of deliverables. Cross-Functional Collaboration & Voice of the Customer Partner with Sales and Business Development to ensure seamless pre- and post-sales transitions. Collaborate with Product and Engineering to feed customer insights into the Hivemind roadmap. Work with Marketing to produce case studies, success stories, and public communications. Build relationships with key customer engineering and leadership contacts. Contribute to reviewing and responding to customer RFIs and RFPs. Contribute to creating and reviewing Scope of Work documents for customer proposals. Strategic Relationship Management Build long-term relationships with executive stakeholders and program leads. Ensure customers achieve measurable mission success with Hivemind. Develop strategies to create “highlight moments” and referenceable customer outcomes. Required qualifications:M.S degree in Computer Science, Aerospace Engineering, Robotics or a related field required; Master’s or MBA preferred. 15+ years in customer-facing technical leadership (solutions/support). Proven success leading globally distributed technical teams. Deep understanding of enterprise software integration, SDKs, and mission-critical systems—ideally within AI/ML, autonomy, or defense technology sectors. Strong program and project management skills; experience overseeing complex deployments. Excellent communication, presentation, and interpersonal skills, with the ability to engage both technical and executive stakeholders. Experience working with defense primes or international government customers is highly desirable. Customer-Obsessed: Passionate about understanding customer needs and driving their success. Strategic Thinker: Ability to see the big picture, anticipate future customer needs, and align enablement efforts with business goals. Execution-Focused Leader: Proven ability to translate strategy into action and deliver results. Collaborative & Influential: Adept at working cross-functionally and building strong internal and external relationships. Technically Credible: Comfortable diving into technical details up to and including reviewing code and engaging with engineering teams. Adaptable & Resilient: Thrives in a fast-paced, dynamic environment. Preferred qualifications:Ph.D. degree in Computer Science, Aerospace Engineering, Robotics or a related field required;  MBA Hands on development experience in C/C++ Hands on edge autonomy applications development experience  220,000 - 330,000 a year#LI-DM2#LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary Our compute footprint is growing fast to support our science and engineering teams. We’re hiring a Datacenter HW Engineer to maintain, troubleshoot, and scale our GPU/CPU clusters safely and reliably. You’ll execute hands-on hardware work in our Paris-area datacenter and partner with hardware owners, DC operations, and vendors to keep one of France’s largest GPU clusters healthy. Location: Bruyères-le-Châtel — on-site, field roleReporting line: Hardware Ops Impact • Compute is a key lever for Mistral’s success and our largest spend item. • Direct impact on scale: your work keeps one of France’s largest AI clusters healthy as we grow to unprecedented scale. • Enable breakthrough AI: you unlock our science & engineering teams to deliver groundbreaking AI solutions. What you will do • Diagnose & operate core server/cluster components - Investigate and handle compute/storage hardware issues (CPU, memory, drives, NICs, GPUs, PSUs) and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand). Perform safe interventions (power-off/lockout, ESD) to replace, re-seat, or recable components and restore service. • Safety & procedures - Apply lockout/tagout (LOTO) and ESD discipline; follow pre/post-work checklists; maintain tidy, safe work areas. • First-line diagnostics - Triage using LEDs, POST, beep codes and basic tests; capture evidence (photos, serials, results); open/update/close tickets with clear notes. • Preventive maintenance - Provide feedback and ideas to improve proactive activities, monitoring, and targeted follow-ups on recurring or specific anomalies; help turn ad-hoc checks into SOPs, alerts, and dashboards. • Parts & logistics - Receive and track parts, keep labeled inventory accurate, manage simple RMAs, and coordinate with vendors. • Collaboration & escalation - Partner with senior hardware/firmware owners on complex or multi-node issues; communicate status and next steps crisply. • Documentation & quality - Keep SOPs/checklists current; ensure zero undocumented changes and consistent, audit-ready records. About you • Hands-on mindset in datacenters/server hardware: you can install/re-seat/swap GPU/PCIe cards, NICs, PSUs, drives, and work cleanly in racks (rails, cabling, labeling). We also welcome candidates with strong Linux fundamentals (boot/check, logs) and scripting (Python/Bash) who are eager to learn hardware; you’ll be trained and mentored by a senior hardware engineer. • Disciplined and meticulous: follows checklists, ESD/LOTO; no rough handling; careful with all high-value server components. • Practical electrical basics: power-off, PPE, short-circuit risk awareness. • Comfortable in racks: cooling, network, storage, PDU, cable management; can lift/mount safely (within HSE limits). • Clear communicator: short factual updates; reliable teammate; punctual and process-minded. • Hardware-passionate, professionally grounded: strong curiosity and craft mindset. Nice to haveHPC/AI/Cloud at scale experience (production environments), large-fleet/server install & maintenance in datacenters. • Basic networking (Ethernet/InfiniBand) and basic Linux (boot/check; no coding needed). • Coding/automation skills (Python/Bash): small tools/scripts to improve checklists, photo/serial capture, inventory sync, or simple monitoring/reporting. • Experience with inventory/RMA tools and vendor coordination. • Exposure to HPC/research/industrial environments. Location & on-site policy • Bruyères-le-Châtel datacenter; on-site only. Day shifts with occasional evenings/weekends/on-call possible to support interventions. Location & Remote The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours. What we offer 💰 Competitive salary and equity package🧑‍⚕️ Health insurance🚴 Transportation allowance🥎 Sport allowance🥕 Meal vouchers💰 Private pension plan🍼 Generous parental leave policy

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About The RoleThis is a full-time, onsite role as a Solutions Engineer at our Berlin HQ, preceded with a three-month rotational program with a pathway into a technical customer-facing role. You'll join a cohort of technical talent who build deep product expertise and customer engagement skills from day one, culminating in a position where you'll own all customer-facing software work, from managing integrations to building workflow templates and applying AI to solve complex customer challenges.Our ApproachAt Langdock, we believe the best Solutions Engineers are technical builders who understand both the product architecture and the customer's business challenges. If you're excited about startups, AI, and driving technical customer impact, this is a unique opportunity to build a foundation in product and customer success before stepping into a high-impact technical role that bridges software development, applied AI, and customer solutions.Program StructureOur Solutions Engineer position is preceded by a three-month rotation designed to prepare you for the role:Weeks 1-6: Customer Support FoundationsIntensive onboarding and product mastery with a focus on becoming a product expertShadowing customer support interactions and understanding technical customer needsLearning the technical architecture and common integration challengesWeeks 7-12: Integrations & Workflow TemplatesHands-on with building integrations, workflow templates, and implementing use casesDeep dive into the technical stack and integration managementBuilding applied AI solutions for documentation and automationUpon graduation, you'll transition into a Solutions Engineer role, equipped with deep product knowledge, technical implementation skills, and the ability to build and maintain customer-facing software solutions that drive measurable outcomes.What You'll DoMaster Langdock's AI platform through daily product interactions and real use casesOwn all customer-facing software work, acting as the technical catch-all for customer needsManage and maintain integrations, ensuring reliability and performanceBuild and optimize workflow and assistant templates for customer use casesApply AI to solve documentation and automation challenges for adoption managementLead technical workshops, deep-dives, and implementation sessions with customersDesign and architect solutions for high-value use cases across diverse customer environmentsAct as the voice of the customer internally, influencing product roadmap and technical strategyWhat We Look ForTechnical Depth: You have strong software development skills and understand how AI systems, APIs, databases, and integrations work at a deep levelSolution Design: You're able to translate customer requirements into technical implementations and build robust, scalable solutionsApplied AI Expertise: You can leverage AI for practical applications like documentation, automation, and workflow optimizationCustomer Empathy: You anticipate customer needs and pain points, and build solutions that address real technical challengesSelf-Guided: You drive your own work, take initiative from day one, and work autonomously while prioritizing learning and impactWhy This Approach WorksOur program is designed for people who want to build deep product expertise before owning the technical customer journey. As a Solutions Engineer, you are the technical backbone of customer success: from building and maintaining integrations, to creating workflow templates, to applying AI for automation and documentation, to ensuring customers can leverage the full technical capabilities of our platform.About YouEarly adopter of AI, excited about its possibilitiesStrong software development background (experience with APIs, databases, cloud applications, system integrations)Ability to build, debug, and maintain production-level code and integrationsStrong written and verbal communication in English and GermanThrive in fast-paced, high-growth environmentsTeam player who communicates well with diverse stakeholders, from engineers to C-suiteEager to build a customer-facing technical career at the intersection of software engineering and AIQualificationsExperience in fast-paced environmentsStrong technical background (software engineering, computer science, technical consulting) with hands-on coding experienceCustomer-facing or implementation experience is a plusExperience with integrations, APIs, or workflow automation is highly valuedConsistent record of achievementGerman language skills are required for this role

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About The RoleThis is a full-time, onsite role as an AI Adoption Manager at our Berlin HQ, preceded with a three-month rotational program with a pathway into a technical customer-facing role. You'll join a cohort of technical talent who build deep product expertise and customer engagement skills from day one, culminating in a position where you'll drive customer adoption, provide technical support, and manage account-based relationships for leading organizations implementing AI.Our ApproachAt Langdock, we believe the best AI Adoption Managers are technical minds who understand both the product architecture and the customer's business challenges. If you're excited about startups, AI, and driving technical customer impact, this is a unique opportunity to build a foundation in product and customer success before stepping into a high-impact role that combines portfolio management, customer support, and adoption strategy.Program StructureOur AI Adoption Manager position is preceded by a three-month rotation designed to prepare you for the role: Weeks 1-6: Customer Support FoundationsIntensive onboarding and product mastery with a focus on becoming a product expertShadowing customer support interactions and learning to own first responsesUnderstanding customer pain points and common implementation challengesWeeks 7-12: Integrations & Workflow TemplatesHands-on with building integrations, workflow templates, and implementing use casesSupporting customers with technical implementation and adoption strategiesLearning account-based management approaches and portfolio prioritizationUpon graduation, you'll transition into an AI Adoption Manager role, equipped with deep product knowledge, technical support skills, and the ability to manage customer relationships that drive measurable adoption outcomes. What You'll DoMaster Langdock's AI platform through daily product interactions and real use casesOwn the first response to all customer requests, ensuring timely and effective supportManage an ARR-based portfolio of larger customers with an account-based approachProvide support for smaller accounts, ensuring all customers receive the help they needLead customer workshops, technical deep-dives, and implementation sessionsDrive adoption strategies that ensure customers realize value from the platformAct as the voice of the customer internally, influencing product roadmap and strategy What We Look ForTechnical Depth: You understand how AI systems, APIs, databases, and integrations work, and can troubleshoot and support accordinglyCustomer Empathy: You anticipate customer needs, motivations, and pain points, and build trusted advisor relationshipsResponsiveness & Ownership: You take pride in being the first point of contact and owning customer issues through to resolutionStrategic Thinking: You can assess customer portfolios, prioritize based on impact, and think from first principlesSelf-Guided: You drive your own work, take initiative from day one, and work autonomously while prioritizing learning and impactWhy This Approach WorksOur program is designed for people who want to build deep product expertise before owning the entire customer adoption journey. As an AI Adoption Manager, you are the primary point of contact for customer success: from responding to their first question, to managing strategic account relationships, to ensuring continuous adoption and value realization across your portfolio. About YouEarly adopter of AI, excited about its possibilitiesStrong technical foundation (databases, APIs, cloud applications, system integrations)Ability to understand and communicate technical concepts to both technical and non-technical audiencesStrong written and verbal communication in English and GermanThrive in fast-paced, high-growth environmentsTeam player who communicates well with diverse stakeholders, from engineers to C-suiteEager to build a customer-facing career at the intersection of technical support and AI adoption QualificationsExperience in fast-paced environmentsTechnical background (engineering, computer science, technical consulting) or demonstrated ability to quickly master technical conceptsCustomer-facing, support, or account management experience is a plusConsistent record of achievementGerman language skills are required for this role

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Forward Deployed EngineerThe defense market is surging, but the data that drives it hasn’t kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively. We’re growing fast and backed by top funds and DoD/national security veterans.We believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us.The RoleYou'll be on the front lines of deploying technology that’s redefining how defense and government organizations operate. Our Forward Deployed Engineers bridge the gap between product, data, and mission — embedding directly with users across government, military, and industry to understand their workflows, challenges, and objectives. You’ll help architect and implement solutions that transform how they make decisions, run programs, and execute missions.You’ll work closely with our engineering and data teams to translate complex operational problems into technical solutions — and with our customers to ensure those solutions are adopted and driving real-world impact. This is a deeply hands-on role that combines systems thinking, operational empathy, and the ability to drive outcomes in uncertain environments.ResponsibilitiesDeploy and operationalize Obviant’s analytics platform within the Department of War and related organizations, ensuring successful adoption and measurable mission outcomes. Work side-by-side with users to understand their workflows, pain points, and objectives. Design, implement, and iterate on configurations, data models, and workflows that bring clarity and automation to complex operational processes. Collaborate with our product and engineering teams to translate mission requirements into scalable product improvements. Act as the connective tissue between users and the technical stack — guiding organizations on how to use Obviant most effectively, and how to evolve their processes alongside it. Drive user training, onboarding, and sustained engagement to ensure enduring success in the field. Travel to customer sites and work directly alongside mission teams to support deployments and field adoptionQualifications3+ years of professional experience, ideally in a mission-oriented or client-facing technical role. Candidates with 2+ years of relevant FDE experience, including an active or recent DoD security clearance, will also be considered. Clearance-ready (U.S. Citizen with eligibility and willingness to obtain a clearance). Strong technical acumen — able to understand complex systems, data workflows, and technical architectures. Experience implementing or deploying software in operational or government environments. Excellent problem-solving and communication skills, with the ability to convey technical concepts to non-technical users. Comfortable working in ambiguous and fast-changing environments, often interfacing with senior government stakeholders. Passionate about the defense mission and driven by impact more than optics. Prior experience in defense, national security, or government contracting preferred but not required.Our Working Style – Why We Might Work Well TogetherYou care about government & are mission-oriented – Our work is important, and is critical to improving a system that impacts us all.Perseverance and endurance – Hard problems are worth solving, and solving them can take a long time. There is no such thing as exhausting all options, it’s just time to look for new ones.Empowerment > micro-management – We’re building a culture of high-performers. Our job is to equip them with what they need and eliminate roadblocks for them to succeed. We trust their judgment, skills, and experience from there.We’re collaborative and communicate well – Constructive dialogue that takes all viewpoints into account is the only way we get to the right decision. Respect, trust, and complete transparency with each other is critical — keep it all in the open.You’re really good at what you do… but it speaks for itself – High output, no ego. Being humble is extremely important to us.You don’t mind change and are comfortable with uncertainty – We’re deliberate about setting goals, but we’re comfortable changing course and dealing with discomfort to get there. We’re still figuring things out, and that demands being flexible and iterative.Work doesn’t feel like “work” to you – We’re passionate about what we’re going after, and we devote more time to it than a typical 9–5. That often means putting in extra time at night and occasionally on weekends. However, maintaining your own personal balance comes above all else, and you should establish that however you need to — flexible schedule, taking advantage of time off, or anything else you need.You like to move fast and have a bias towards action – Our roadmap is directional at this stage — speed and a feeling of urgency are key to proving it out. We expect each other to proactively determine what needs to get done and go for it.Integrity is never negotiable – Transparency, honesty, and respect come above all else.Benefits & StructureWe’re a tight-knit team headquartered in Arlington, VA. We work in the office together most days and believe being in the same place is a competitive advantage.Flexible schedule – We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks — take care of it whenever you have to. And work from home when you need to.Competitive compensation + Sizeable equity – We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.Flexible vacation time – Use what you want, as long as you’re taking care of what needs to get done.Full health, dental, and vision insurance.And more…

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.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: 5+ 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 and build AI-agents 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: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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

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Senior AI Product ManagerAbout the RoleWe are seeking an experienced and passionate Senior AI Product Manager to join our team. In this role, you will drive the vision, strategy, and execution for our AI-powered products. You’ll work cross-functionally with Engineering, Data Science, Design, and Business teams to deliver impactful AI solutions and deliver exceptional product experiences.ResponsibilitiesDefine and communicate long-term vision and strategic roadmap for AI product offeringsOwn end-to-end product lifecycle management: from ideation and requirements gathering to launch and post-launch optimizationCollaborate with stakeholders and users to identify opportunities for leveraging AI and machine learning to solve complex user problemsWork closely with engineering and data science to establish clear priorities, write product requirements, and deliver high-quality featuresAnalyze data and user feedback to drive continuous product improvementStay updated on cutting-edge AI trends and assess their relevance to our productsManage and mentor junior product managers (as appropriate)Requirements5+ years of product management experience, with at least 2 years in AI or ML-based productsProven track record of taking AI or data-driven products from concept to marketDeep understanding of AI/ML technologies, capabilities, and productization challengesStrong technical acumen and ability to partner effectively with engineers and data scientistsExcellent communication, leadership, and stakeholder management skillsExperience in a fast-paced, agile, technology-driven environmentBachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD a plus)BenefitsOpportunity to drive impact at scale in a rapidly growing companyCollaborative and innovative culture with direct access to leadershipCompetitive compensation package including equity, benefits, and flexible work optionsJoin us and shape the future of AI-powered products!

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the roleAs a Member of Technical Staff, Field Eng at Anyscale, you will be the technical face of our company and biggest advocate for our customers. You’ll work closely with sales, product management, and engineering to ensure that our product has the right experiences and shape to drive value in customer engagements.  The ideal candidate will be a scrappy executor, able to work independently, and lead complex POVs with our users as they adopt Anyscale and Ray. You’ll be on point for demoing our product, scoping POVs, making users successful, and amplifying the voice of our customers. Expect to learn a ton about Ray, Anyscale, and early stage product go-to-market! You’ll be fundamental in helping us disrupt what it means to build distributed applications at scale.  Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences – whether it’s the C-suite or an individual engineer.As part of this role, you'll be involved inBuilding awesome product demos, tutorials, reference architectures, and blogs demonstrating the strong capabilities of the Anyscale platformKnowing Ray from end-to-end and educating customers on how to use RayWorking with customers as they build applications on RayKnowing the ML landscape and toolsets that are at the forefront of cutting edge techWorking cross-functionally to be the voice of our customers and delivering impactful solutions alongside our product and engineering teams Working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for our usersHelping us identify potential improvements and gaps in our product and prioritizing features through the development processEfficiently managing stakeholders to ensure that we stay focused on our key objective and metrics in the sales processDriving crisp communication about our products and services, both internally and externallyWorking alongside marketing and Go-to-Market to create and deliver high quality content to evangelize Anyscale and RayWe'd love to hear from you if you have5+ years of pre- and post-sales experience, either as a sales engineer, solutions engineer, architect, customer success engineer/manager, or a consultantStrong technical skills. You should have working knowledge of Python fundamentals, as well as the ability to learn Ray and build Ray applications with various librariesExperience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologiesExperience in public cloud and enterprise infrastructureCustomer success orientation. You are able to demonstrate technical concepts to technical and non-technical audiences, build value with end users, and drive solutions over the lineCross-functional collaboration with technical stakeholders, including Engineering and ProductAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About the TeamThe AI Deployment & Adoption team turns breakthrough AI products into enterprise-scale impact. We work closely with customers to operationalize OpenAI’s technology by helping organizations move from experimentation to real-world transformation. We accelerate delivery and shape how OpenAI’s products drive value in production. We partner with Sales, Technical Success, and Product to bring frontier AI safely and successfully to market.About the RoleWe are seeking a senior technical leader to manage and scale a high-performing team of AI Deployment Managers. The AI Deployment Manager team (ADM) focuses on deploying ChatGPT Enterprise and driving activation and adoption through structured onboarding, training, and change management playbooks. ADMs are also responsible for the technical deployment of ChatGPT, including integrating connectors, Codex, custom GPTs, and other advanced capabilities we continue to release.In this role, you will guide team strategy, ensure strong execution and technical hiring and rigor, and cultivate deep customer relationships. You will stay close to the field while developing mechanisms that support scale, excellence, consistency, and operational rigor across the team.This role is based in New York or San Francisco and follows a hybrid schedule of three days per week in office. Regional travel is expected.In This Role, You WillOwn the strategy and operating model for the deployment team, ensuring alignment with OpenAI’s objectives and customer needs.Hire, lead, mentor, and develop a high-performing team of deployment managers, ensuring strong technical foundations and customer outcomes while achieving scale.Oversee the successful deployment and adoption of OpenAI products across a diverse portfolio of enterprises, digital native organizations, and high-growth companies.Represent the voice of customers to influence product development and commercial strategy.Establish operating rhythms for the team (e.g., leadership rollups, knowledge-sharing forums, and best-practice exchange) to ensure consistency and scalability.Develop scalable programs, playbooks, and operating mechanisms.Partner cross-functionally with Sales, Solutions Architecture, Solutions Engineering, and Product to ensure a unified customer experience.You’ll Thrive in This Role If You8+ years of experience leading technical teams, including 3+ years managing post-sales technical deployment functions, customer engineering, or technical professional services, in enterprise SaaS or AI environments.Proven track record scaling technical teams in high-growth environments, with proven success in scaling operating models.Have experience designing or owning coverage models, staffing strategies, and engagement frameworks for post-sales technical teams.Proven ability to engage and influence executive stakeholders within complex global organizations.Are a strong communicator who can bridge technical and business conversations.Have experience with Generative AI (preferred) or adjacent SaaS platforms.Operate with humility, ownership, and a willingness to do what it takes to make customers and the team successful.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 Readiness Team is essential to translating OpenAI’s cutting-edge research into real-world customer impact. As part of the GTM organization, they empower customer-facing teams with the knowledge, tools, and frameworks needed to deliver meaningful outcomes. By turning complex product innovations into practical, scalable enablement programs, they ensure teams are prepared and aligned with OpenAI’s mission of responsible, high-impact AI adoption.About the roleOpenAI is hiring an experienced Technical Product Enablement Lead to empower our customer-facing teams—Sales Engineers, Solutions Architects, and Customer Success Managers—to deliver maximum value from our advanced AI technologies. This role will play a pivotal part in shaping our go-to-market (GTM) strategy, directly influencing customer adoption and success.You'll own the creation and execution of our technical enablement programs, ensuring our GTM teams are equipped with the knowledge, tools, and frameworks they need to drive customer outcomes from initial engagement through long-term adoption.This role is based at our headquarters in San Francisco.In this role, you will:Develop and lead comprehensive technical enablement strategies that align with OpenAI's goals and support our GTM teams.Collaborate closely with Product, Engineering, and Research teams to quickly turn cutting-edge innovations into practical, customer-ready materials.Create and deliver high-quality enablement content, including technical playbooks, customer scenarios, demos, and product deep-dives.Establish clear success metrics and continuously measure, track, and enhance the impact of technical enablement initiatives.Drive scalable enablement programs, leveraging OpenAI's own technology to provide personalized, effective learning experiences.Act as a trusted partner to GTM leadership, clearly communicating progress, outcomes, and areas for improvement.Foster a culture of customer-centricity, ensuring all technical enablement efforts directly improve customer adoption and satisfaction.Champion responsible and ethical use of AI, embedding these principles into all enablement content and activities.You'll thrive in this role if you:Have significant experience in technical enablement or program management within fast-paced technology companies, particularly in AI or advanced software.Excel at simplifying complex technical concepts into clear, compelling, and actionable content.Are skilled at rapidly developing high-quality, scalable learning programs tailored to different roles and experience levels.Communicate effectively across technical and non-technical audiences, building trust and alignment with stakeholders at all levels.Have a customer-first mindset with a proven track record of improving customer outcomes through enablement.Are proactive, organized, and solution-oriented, adept at navigating challenges and adapting quickly to changes.Passionately advocate for the ethical and safe deployment of advanced technologies.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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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.About the Role:We’re looking for a Product Marketing Manager (PMM) to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives.Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator.What You’ll Do:Lead Product Marketing for our Launches Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.Shape Messaging & Positioning Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.Create Sales & Growth Enablement Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.Lead Competitive and Market Insights Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.Analyze & Learn Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.You'll be a Good Fit if you:Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)Love building from scratch — frameworks, processes, teams, and strategyExcellent written communication and storytelling skills, with the ability to simplify complexityAre equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional syncHave a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbookProven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful storiesStrong project management skills — you can juggle multiple launches and keep teams aligned under pressureExperience with sales enablement and competitive positioning for technical audiencesA collaborative, low-ego approach and willingness to dig into the detailsBonus Points:Experience in app development space or marketing to product managers, designers, sales, marketing or operations teamsExperience with Partner/Ecosystem Marketing- to start with, we are looking for a generalist who can also help out with Partner MarketingExperience at a startup or high-growth environment where speed and adaptability matterUnderstanding of AI and machine learning technologiesA track record of successful launches for developer-facing products Example Projects:Establishing a repeatable launch rhythm for major features and smaller updatesBuilding a competitive intelligence framework for the AI coding assistant spaceDeveloping persona-driven messaging for builders across different segments and company sizesLaunching and executing co-marketing initiatives with Replit’s partner ecosystemCoordinating cross-functional launches with engineering, product and marketingDefining metrics and feedback loops between product, marketing, and the our builder communityThis is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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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 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.Annual Salary:€165.000—€215.000 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