AI Marketing & Sales Jobs

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Legal Product Specialists are experienced lawyers from top-tier firms who leverage their legal expertise to help customers seamlessly integrate Harvey into their daily workflows—driving adoption, increasing utilization, and supporting long-term expansion and renewal.. Legal Product Specialists collaborate closely with Harvey’s Customer Success Managers and Account Executives to drive all facets of the post-sales strategy. They develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel at private equity firms and Fortune 500 companies—serving as trusted advisors on how Harvey’s AI solutions can enhance legal effectiveness and efficiency.Legal Product Specialists draw on their legal training and practice experience to ask thoughtful questions, uncover adoption barriers, and develop tailored strategies that build credibility with customers. They partner with Customer Success Managers and Account Executives to communicate Harvey’s value through a mix of large group sessions, small workshops, and one-on-one conversations.What You’ll DoBuild trusted relationships with law firm and in-house legal teams by understanding their unique workflows and offering tailored guidance on how to incorporate Harvey’s AI into their daily practice.Design and lead onboarding sessions, training workshops, and ongoing enablement programs that drive adoption and maximize the value of Harvey’s platform.Act as a strategic partner to Customer Success Managers and Account Executives to identify expansion opportunities and support renewal efforts through demonstrated impact and engagement.Proactively surface obstacles to adoption by engaging users with thoughtful questions and legal empathy, then develop and implement strategies to overcome them.Translate legal practice needs into actionable feedback for the product and engineering teams, helping to shape product development through a lawyer’s lens.Monitor usage trends and identify at-risk accounts or untapped opportunities, working cross-functionally to re-engage users and showcase new or underutilized capabilities.Contribute to customer-facing content (e.g., training materials, use case guides, FAQ resources) to ensure continued customer success across a range of practice areas.Support the credibility and brand of Harvey as the leading AI platform for lawyers by delivering high-quality, domain-specific guidance that meets the expectations of top-tier legal professionals.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Compensation RangeThe expected range of total compensation for this role is between $200,000 and $250,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate’s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleAs a Lead Software Engineer in our Customer Development team, you won't just build software - you'll lead the charge in deploying, customising, and scaling our groundbreaking Frontier platform directly with our enterprise clients.As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, remain close to live customer feedback whilst leading the way in technical best practices.In this role, you'll be immersed in leading the deployment of Frontier in complex environments, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights.Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.What you will be doingAt the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions..As a Lead Software Engineer in the Customer Development team, you’ll lead the technical delivery of customer-facing projects, guiding a small, cross-functional team. You’ll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You’ll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one.Your responsibilities will includeLead Client Engagements: Act as the primary technical authority and partner for our enterprise clients, guiding them from discovery through to successful production deployment.Mentor Your Squad: Lead and mentor a dedicated, cross-functional squad of engineers, fostering their growth and setting the standard for technical excellence and creative problem-solving.Architect & Build Solutions: Roll up your sleeves to design, build, and extend components of the Frontier platform (Python, TypeScript, IaC) to meet specific customer challenges and workflows.Bridge Product and Delivery: Be the crucial link between our customers and our core product teams. Translate customer needs and implementation challenges into actionable feedback and feature requests that shape the future of Frontier.What You'll Bring to the TeamLeadership & Communication:Exceptional Communication: You have a proven ability to distill complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders. This is crucial for success.Pragmatic Leadership: Experience leading complex technical projects and mentoring other engineers, empowering them to do their best work.Customer-Centric Mindset: A genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value.Technical Expertise:Full-Stack Proficiency: Strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design.Core Technologies: Expertise in Python and TypeScript/React.Infrastructure & Deployment: Solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes. Hands on experience deploying scalable applications in one of AWS, Azure or GCP.Testing & Quality: A demonstrated history of championing automated testing strategies to ensure robust and reliable code.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit www.gong.io. We’re scaling fast — and we’re just getting started. At Gong, we’re building a world-class R&D hub in the U.S. to fuel our next wave of innovation. This is your chance to join a critical team from the ground up and help shape products that lead the future of revenue intelligence. We’re building the future of revenue intelligence — and our backend engineers are at the heart of it. As a Backend Engineer at Gong, you’ll tackle meaningful technical challenges, design systems at scale, and help shape products that transform how companies understand their customers. We’re looking for an experienced Java engineer who’s excited to build high-performance systems, solve complex problems, and deliver features that make a real impact. RESPONSIBILITIES Design and build backend services and APIs using Java, with a focus on scalability, reliability, and performance Own technical projects from start to finish — architecture, development, deployment, and ongoing improvements Collaborate with Product Managers, UX Designers, and Frontend Engineers to deliver features that solve real customer problems Dive into technical challenges, identify root causes, and develop practical solutions Play an active role in shaping Gong’s backend architecture as we scale QUALIFICATIONS  5+ years of backend development experience, with deep expertise in Java Proven ability to solve complex problems, debug efficiently, and build high-quality systems Experience designing and running cloud-based services (AWS, GCP, or Azure), including microservices architectures Bonus points for experience with infrastructure as code, CI/CD pipelines, or data-driven APIs Strong communication skills and a collaborative approach — you enjoy working across teams A degree in Computer Science, Engineering, or related field (or equivalent practical experience) PERKS & BENEFITS  We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $110,500 - $130,000 USD.  Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.  We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details. #LI-DD1

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods with  powerful new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled and experienced translational scientist program manager to join our team and help support the execution of PathAI’s business and academic partnerships, including strategic projects, external collaborations and internal initiatives. The Translational Science Lead will work closely with machine learning, biomedical data sciences, product development, and business operations teams to ensure that our scientific project goals are being met, and that we and that we are maximizing our platform’s capabilities. The Translational Science Lead will be responsible for the day-to-day operations of current project relationships and supporting the development of new activities, as well as lead internal scientific strategy within disease areas. What You’ll Do Responsible for the scientific and strategic development of company projects. Drive and uphold rigorous scientific standards, bringing consistency to the analyses you encounter and ensuring our discoveries are adequately reviewed. Apply cutting edge approaches towards understanding disease biology to improve precision medicine and biomarker development. Solve interesting problems with machine learning and data science. Oversee day-to-day technical developments and manage relationships with internal and external stakeholders Collaborate across a range of groups - product, design, engineering front-end, machine learning, business operations, and infrastructure teams. Recommend new features for internal and external users, and improve existing ones to enhance the user experience. Drive the prioritization of our platform development, considering the team and our future roadmap. Mentor, learn, and share knowledge with others along the way. What You Bring 5+ years of experience in biotech, pharmaceutical or medical device industries. Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. Ability to process quantitative datasets and broad comfort with statistics. Intellectual curiosity and the ability to learn quickly in a complex space. Strong organizational skills and experience managing project timelines We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote   

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.  As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.  You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.  The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production.  You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment.  You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done.   Responsibilities Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++.  Participate in all phases of embedded software development, from concept and design to deployment and maintenance.  Identify top-level software requirements and establish development best practices.  Deliver high-quality C++ code in a real-time embedded environment.  Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc.  Implement, manage, and support over-the-air software updates to edge systems.  Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences.    Qualifications  BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline.  5+ years experience in modern software design, development, version control, refactoring, and testing  5+ years of experience with C++17 onward and a strong understanding of object-oriented programming  3+ years of experience working with C++ OpenCV, SQLLite and MQTT.  Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries.  Experience with ARM Cortex series microcontroller  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Previous experience working inside innovative, high-growth environments  Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.  As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.  You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.  The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production.  You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment.  You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done.   Responsibilities Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++.  Participate in all phases of embedded software development, from concept and design to deployment and maintenance.  Identify top-level software requirements and establish development best practices.  Deliver high-quality C++ code in a real-time embedded environment.  Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc.  Implement, manage, and support over-the-air software updates to edge systems.  Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences.    Qualifications  BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline.  5+ years experience in modern software design, development, version control, refactoring, and testing  5+ years of experience with C++17 onward and a strong understanding of object-oriented programming  3+ years of experience working with C++ OpenCV, SQLLite and MQTT.  Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries.  Experience with ARM Cortex series microcontroller  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Previous experience working inside innovative, high-growth environments  Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Who We Are  PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit You’ll work closely with our development squads while helping to lead and coordinate the efforts of our SDET team. As a key point of contact between engineering and quality, you’ll bring visibility to testing activities, drive process improvements, and ensure that quality remains a priority throughout the development lifecycle. This role is ideal for someone who’s hands-on, collaborative, and ready to take ownership of how we build and verify great products. What You’ll Do  Take ownership of quality assurance processes across multiple development squads Collaborate closely with engineering leadership and product teams to align on quality goals Track development progress and manage the QA testing backlog Write and maintain manual test cases for new and existing features when needed Support test automation by providing test data, building fixtures, and running exploratory tests Oversee the verification process, including documentation updates and compliance activities Maintain end-to-end test traceability from requirements through test execution Monitor CI/CD pipelines, investigate failures, and communicate issues to the engineering team Represent the SDET team in squad meetings and share quality status, risks, and metrics Work from our office in Boston (2+ days/week in office if local) or remotely from the United States on Eastern or Central hours) What You Bring Strong organizational skills and attention to detail Clear and effective communication, both written and verbal Ability to quickly learn and adapt in a fast-paced environment 1-2 years programming experience (e.g., Python or TypeScript) Understanding of test automation concepts Familiarity with modern testing frameworks such as Playwright or Cypress Experience with CI/CD tools like GitLab, GitHub Actions, or CircleCI Experience with Jira for test and issue tracking Background in Agile or Scrum development environments A collaborative mindset and a proactive approach to solving problems Nice to have: Experience in regulated industries (e.g., medical devices, finance, aerospace) Familiarity with advanced test management tools (e.g., Xray, Zephyr) We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the roleWe’re hiring a Developer Relations Engineer. In this role, you’ll play a core part in improving our developer experience — particularly our documentation and example projects. You’ll dive deep into where users are getting stuck and ship what they need to succeed.You’ll also help drive acquisition of our technical, self-serve customers by creating and presenting engaging content online and in-person — especially at developer meetups and conferences across the US, with a focus on events in the San Francisco Bay Area.This role is perfect for someone who can create compelling technical content and is energized by connecting with developers face-to-face.RequirementsYou love attending, organizing, and speaking at developer events.You're able to tailor messaging for different audiences and build strong networks with developers, startup accelerators, and VCs alike.A strong full-stack engineering skillset with an eye for design — bonus points if you leverage new AI coding tools.The ability to come up with great ideas for tutorials, build working demos, and create high-quality blog posts and talks.A passion for writing engaging technical content.A product-minded approach to content: you understand metrics, speak to users, decide what to build/write based on needs, and double down on what works.#LI-Remote

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Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We’re hiring a Senior Security Engineer to secure and scale our stack. You’ll own platform security, system reliability, audit readiness, and integration strategy across cloud and hybrid environments.  You'll take ownership of system reliability, security posture, audit readiness, and help guide our long-term integration strategy across cloud and legacy environments. We're unifying cloud-native and legacy systems into a secure, high-availability platform that powers AI-driven automation across healthcare. You’ll lead foundational work in infrastructure hardening, audit controls, and production observability, directly supporting mission-critical AI agents. You'll have executive support and budget to modernize everything from our VPN tunnels to our alerting stack. What You’ll Own: Integration Strategy: Lead infrastructure and tooling decisions as we unify multiple environments into a single, scalable platform. Audit Readiness: Own and drive SOC 2 Type II and HITRUST prep, working across engineering, compliance, and security. System Reliability: Ensure uptime, scalability, and fault tolerance across services. Set and enforce SLAs. On-Call Infrastructure: Stand up our alerting, escalation, and incident response systems. Observability: Improve logging, metrics, and dashboards using tools like HyperDX. Infrastructure Provisioning: Spin up and manage production-grade infrastructure using OpenTofu/Terraform. Security & Networking: Architect infrastructure with security best practices, including VPNs, IPsec tunnels, and hybrid network topologies. Your Qualifications: 8+ years of experience spanning Security, DevOps, and/or SRE roles in high-availability, cloud and hybrid environments—with a strong track record of leading integrations, hardening infrastructure, and ensuring audit/compliance readiness. Start-up mentality - desire to tackle ambiguous scope of work and willing to do whatever is necessary to drive the company/mission forward. Track record leading complex infrastructure integrations Deep AWS expertise; strong experience with Azure and/or GCP a bonus Proficiency in OpenTofu or Terraform for Infrastructure-as-Code Comfortable navigating hybrid cloud environments (e.g. EKS, legacy VMs, VPN tunnels) Solid Kubernetes experience (Knative experience a plus) Strong networking fundamentals and experience with on-prem systems Familiar with incident tooling (PagerDuty, Opsgenie) and setting SLOs/SLAs Personable and cross-functional: able to build rapport with stakeholders across engineering, compliance, and executive leadership Security-first mindset, with an eye for compliance and audit readiness Proficiency in SOC2 Type 2, HITRUST preparation. Comfortable spinning up new infrastructure as needed What Sets You Apart: You've integrated cutting edge cloud environments with customer's legacy environments You’ve built platforms, not just maintained them You treat DevOps as a product, not just a support function You care about developer experience, observability, and operational excellence   Why Thoughtful? Competitive compensation Equity participation: Employee Stock Options. Health benefits: Comprehensive medical, dental, and vision insurance. Time off: Generous leave policies and paid company holidays.  California Salary Range $170,000—$220,000 USD

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services.Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.This jobRobust, reliable, and scalable distributed systems form the backbone of Krea. These systems support the infrastructure that powers our AI research, real-time user experiences, and large-scale model deployments.As a Distributed Systems Engineer, you will…… design, build, and maintain large-scale distributed infrastructure to reliably support AI research and real-time model serving.… own and scale our multi-thousand-node Kubernetes GPU clusters, ensuring efficient and fault-tolerant operations.… collaborate closely with ML engineers and researchers to architect systems that enable rapid experimentation and deployment.… improve network architecture, optimize load balancing, and streamline operational practices across multi-zone cloud deployments.Example projectsOwn and manage a large-scale Kubernetes cluster designed to run extensive ML training and inference workloads.Architect fault-tolerant systems ensuring uninterrupted model training and real-time inference despite individual node failures.Develop and implement optimized load-balancing strategies to efficiently distribute workloads across zones.Create comprehensive monitoring, alerting systems, and operational playbooks for high-availability clusters.Migrate existing deployments to Infrastructure as Code (Terraform) for reproducibility and scalability.Setting up IP-based rate-limiting to prevent GPU abuse.Strong candidates may have experience with…Kubernetes at scale (thousands of nodes)Cloud infrastructure management (AWS/GCP/Azure)High-performance and fault-tolerant networkingLow-level Linux interfaces and administrationDebugging complex distributed systems in productionPython, Golang, Ruby, Rust, and similar systems languagesBonus: Infrastructure as Code (e.g. Terraform)About usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobWe're looking for a machine learning engineers who can work on large-scale image and video models training experiments..Some stuff you can do:Train foundation diffusion models for image and video generation.Train controllability modules such as IPAdapters or ControlNets.Develop novel research techniques and put them into production.Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasetsExample experience and skills we’re looking forProven track record in working with image or video models at scale (publications or open-source contributions a plus)Strong background in deep learning frameworks and distributed training paradigms.Ability to iterate rapidly, and propose creative research directionsA bit more about usWe’ve raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. Some examples of things you will do:Build and maintain APIs and UI flows for web + mobile in Svelte/SvelteKit, TypeScript.Design interactive, responsive front-end experiences—drag-and-drop, real-time canvas polish, smooth and responsive UI animations.Optimize frontend performance: minimize render latency, profile UI with virtual DOM techniques, deliver seamless WebSocket image streams.Design and maintain backend services (Node), DB models (Postgres + Redis caching/pooling).Kickstart a Public API project to serve Krea AI models to millions of developers.Diagnose HTTP/3 and WebSocket related issues both on the client side and the server side.Drive real-time image & video generation pipelines via low-latency APIs.Improve observability and alerting using OpenTelemetry tools.Implement enterprise features: Audit Logs, SAML/SSO, SCIM provisioning.Bonus: Scale our infra architecture through deep understanding of our AWS EKS GPU clusters or Kubernetes operators.Strong candidates may have experience with the following:Solid full-stack JS/TS engineer with frontend focus—component design, UI state, animations, client performance.Experience with SvelteKit or similar frameworks, real-time UI via WebSockets.Comfortable designing APIs, database schemas, caching strategies.Familiar with infra and scale: Kubernetes, Postgres, Redis, observability stacks.Side projects or open‑source contributions in UI/infra are plus.Bonus: prior work on enterprise auth features, GPU workloads, ML or image/video pipelines.Stack:Frontend: Svelte/SvelteKitBackend: Node + TypeScript, Postgres, RedisRealtime: WebSockets, HTTP/3Infra: AWS EKS GPU clusters, KubernetesObservability: Prometheus, OpenTelemetry, Axiom/HyperDXTools: GitHub, Slack, Notion

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. What you'll doDesign, implement, deploy, and maintain private APIs for our main web and mobile applications.Design database models.Fix issues with our system that, among other things, may be related to how HTTP/3 handles client-side connections to our processes.Improve database and infrastructure performance by implementing caching solutions or better connection pooling.Profile and find bottlenecks for many types of HTTP/WebSockets requests to enable real-time image generation—and even video!Improve observability, monitoring, and alerting for our service so that we can better respond to operational incidentsScale our service via architectural changes as well as infrastructure improvementsOpen-source any non-trivial innovations that come out of our work on the productDesign and iterate over software development processes so that we can build an web-native and AI-native creative tools for people.Professionalize our main product by adding enterprise-grade features such as Audit Logs, SAML/SSO, SCIM.Our stackJavascript/TypeScriptSvelte & SvelteKitNode, Postgres, and RedisWebSocketsManaged Kubernetes cluster(s) on AWSMonitored and observed via Axiom/HyperDX/Prometheus/OpenTelemetryGitHub, Slack, Notion

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobData is one of the fundamental pieces of Krea. Huge amounts of data power our AI training pipelines, our analytics and observability, and many of the core systems that make Krea tick.As a data engineer, you will…… build distributed systems to process gigantic (petabytes) amounts of files of all kinds (images, video, and even 3D data). You should feel comfortable solving scaling problems as you go.… work closely with our research team to build ML pipelines and deploy models to make sense of raw data.… play with massive amounts of compute on huge kubernetes GPU clusters - our main GPU cluster takes up an entire datacenter from our provider.… learn machine learning engineering (ML experience is a bonus, but you can also learn it on the job) from world-class researchers on a small yet highly effective tight-knit team.Example projectsFind clean scenes in millions of videos, running distributed data pipelines that detect shot boundaries and saving timestamps of clips.Solve orchestration and scaling issues with a large-scale distributed GPU job processing system on kubernetess.Build systems to deploy and combine different LLMs to caption massive amounts of multimedia data in a variety of different ways.Design multi-stage pipelines to turn petabytes of raw data into clean downstream datasets, with metadata, annotations, and filters.Strong candidates may have experience with…Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy…KubernetesDesigning and implementing large-scale ETL systemsFundamental knowledge of containerization, operating systems, file-systems, and networking.Distributed systems designAbout usWe’re building AI creative tooling.We’ve raised over $83M from the best investors in Silicon Valley.We’re a team of 12 with millions of active users scaling aggressively.

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.What we're looking forIn this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal intern candidate is someone who is a voracious learner, has a history of building applications from the ground up, and can break down complex challenges.You'll be working on a fast-paced team of passionate builders and partnering closely with our ML and design teams, to create industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.ResponsibilitiesBuild and deploy high-impact, intuitive, AI-driven web apps in React, Node, and TailwindDevelop top-requested features from our users on our dashboard, chrome extensions, and APIUtilize product analytics to make data-driven product decisionsCollaborate with our ML, design, and business teams to develop new product initiativesWear multiple hats and work across the product stackQualificationsComfortable building end-to-end experiences from backend to CSS+2 years of experience with modern web frameworks (Express, Next.js, Typescript, and React)+1 years of experience with databases (PostgreSQL, AWS RDS)Highly motivated to make positive societal impactWork with 5 hours of overlap with Eastern Standard TimeBonus:strong open-source portfolioexperience working in an early-stage startup environmentexperience as a peer-edited writerWho you'll be joiningOur TeamYou will be working directly withAlex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in MLEdmond (our fullstack lead) Obama Foundation Scholar at Columbia University and Editor-in-chief of The Andela WayOlivia (our head of design) on translating your research into outputs for millions of users. Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.Together, we are committed to making a permanent impact on the future of writing, and on humanity.Our Angels and Advisors Tom Glocer (Legendary Reuters CEO)Mark Thompson (Legendary NYT CEO and current CNN chief executive)Jack Altman (CEO of Lattice, brother of Sam Altman)Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper) Emad Mostaque (CEO of Stability AI)Doug Herrington (CEO of Worldwide Amazon Stores)Brad Smith (President of Microsoft)Tripp Jones (Partner at Uncork Capital)Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)Russ Heddleston (CEO of Docsend)Alex Mashrabov (Snapchat, Director of AI)Faizan Mehdi (Affinity, Director of Demand Generation)Our Perks🏥 Health, dental, and mental health benefits💻 Hybrid work in Toronto and NYC offices🚀 Competitive salary🏝 Flexible PTO🎉 Regular company retreats💡Mentorship opportunities with our world-class team, advisors, and investors🙌 Wellness and learning stipend

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About the Program The Human Frontier Collective (HFC) brings together domain experts across research, clinical practice, and advanced professional work to contribute to high-impact projects in technology and reasoning systems. As a Medical Fellow, you will apply your clinical training to help develop and evaluate tools that interact with complex medical content. Your work will directly inform how emerging systems reason through diagnosis, triage, and patient care scenarios. PLEASE NOTE: This is a remote, contract-based role. We welcome international applicants based in the EU, Canada, Australia, and New Zealand. Engagements will run for approximately six months with flexible scheduling.  What You'll Do Design Complex Clinical Scenarios Create detailed case studies and clinical reasoning tasks across specialties to test how systems interpret symptoms, assess risks, and prioritize care. Evaluate Decision-Making Approaches Review and critique structured outputs for clinical safety, accuracy, and sound judgment. Identify errors in logic or inappropriate treatment suggestions. Shape Reasoning Frameworks Provide structured, example-driven feedback to improve how models understand differentials, guidelines, and clinical narratives. Work Across Specialized Projects Contribute to targeted workstreams in internal medicine, emergency care, radiology, psychiatry, and other domains aligned with your background. Who Should Apply Graduates of a licensed medical school (MD or DO), who are board certified and in residency / post residency / practicing / or with extensive practice Recent or current clinical experience in inpatient, outpatient, or academic settings Strong writing and clinical reasoning skills, with comfort assessing edge cases and nuanced scenarios Backgrounds welcome from internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields Nurse practitioners, physician assistants, and registered nurses with deep clinical experience may also be considered Fluency in written English is required Why Join the HFC? Contribute to High-Impact Work Apply your medical expertise to problems that require real judgment, not rote recall. Your input will directly influence how complex reasoning tasks are handled. Flexible Remote Work + Competitive Compensation Set your own schedule and contribute from anywhere. Most participants engage between 5-20 hours per week. Pathways for Growth High-impact contributors may be invited to join additional review projects, advisory roles, or research collaborations. How to Apply Submit your CV and a brief summary of your clinical background. Selected candidates will be invited to complete a short trial task and interview.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your  team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will:  Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.  Manage a team of 5+ Applied AI Engineers / ML Engineers Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines.  Create state of the art techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 3 years of model training, deployment and maintenance experience in a production environment At least 1-2 years of management or tech leadership experience Strong skills in NLP, LLMs and deep learning  Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.  Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.  Strong written and verbal communication skills to operate in a cross functional team environment Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.About the Role:We are seeking a seasoned Storage Engineering Manager with experience in the specification, evaluation, deployment, and management of HPC storage solutions across multiple datacenters to build out a world-class team. You will hire and guide a team of storage engineers in building storage infrastructure that serves our AI/ML infrastructure products, ensuring the seamless deployment and operational excellence of both the physical and logical storage infrastructure (including proprietary and open source solutions).Your role is not just to manage people, but to serve as the ultimate technical and operational authority for our high-performance, petabyte-scale storage solutions.Your leadership will be pivotal in ensuring our systems are not just high-performing, but also reliable, scalable, and manageable as we grow toward exascale.This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a top-talent team of high-performing storage engineers delivering HPC, petabyte-scale storage solutions.Foster a high-velocity culture of innovation, technical excellence, and collaboration.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies.Technical Strategy & Execution:Drive the technical vision and strategy for Lambda distributed storage solutions.You will lead storage vendor selection criteria, vendor selection, and vendor relationship management (support, installation, scheduling, specification, procurement).Manage team in storage lifecycle management (installation, cabling, capacity upgrades, service, RMA, updating both hardware and software components as needed).You will guide choices around optimization of storage pools, sharding, and tiering/caching strategies.Lead team in tasks related to multi-tenant security, tenant provisioning, metering integration, storage protocol interconnection, and customer data-migration.Guide Storage SREs in development of scripting and automation tools for configuration management, monitoring, and operational tasks.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Lead the team in supporting customers.Cross-Functional Collaboration:Collaborate with the HPC Architecture team on drive selection, capacity determination, storage networking, cache placement, and rack layouts.Work closely with the storage software teams and networking teams to execute on cross-functional infrastructure initiatives and new data-center deployments including integration of storage protocols across a variety of on-prem storage solutions.Work with procurement data-center operations, and fleet engineering teams to deploy storage solutions into new and existing data centers.Work with vendors to troubleshoot customer performance, reliability, and data-integrity issues.Work closely with Networking, Compute, and Storage Software Engineering teams to deploy high-performance distributed storage solutions to serve AI/ML workloads.Partner with the fleet engineering team to ensure seamless deployment, monitoring, and maintenance of the distributed storage solutions.Innovation & Research:Stay current with the latest trends and research into AI and HPC storage technologies and vendor solutions.Guide team in investigating strategies for using Nvidia SuperNIC DPUs for storage edge-caching, offloading, and GPUDirect Storage capabilities.Work with the Lambda product team to uncover new trends in the AI inference and training product category that will inform emerging storage solutions.Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency.YouExperience:10+ years of experience in storage engineering with at least 5+ years in a management or lead role.Demonstrated experience leading a team of storage engineers and storage SREs on complex, cross-functional projects in a fast-paced startup environment.Extensive hands-on experience in designing, deploying, and maintaining distributed storage solutions in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company.Experience with storage solutions serving storage volumes at a scale greater than 20PB.Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule.Extensive experience with storage site reliability engineering.Experience with one or more of the following in an HPC or AI Infrastructure environment: Vast, DDN, Pure Storage, NetApp, Weka.Experience deploying CEPH at scale greater than 25PB.Technical Skills:Experience in serving one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Professional individual contributor experience as a storage engineer or storage SRE.Familiarity with modern storage technologies (e.g., NVMe, RDMA, DPUs) and their role in optimizing performance.People Management:Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience with NVidia SuperNIC DPUs for edge-caching (such as implementing GPUDirect Storage).Technical Skills:Deep experience with Vast, Weka and/or NetApp in an HPC or AI Infrastructure environment.Deep experience implementing CEPH in an HPC or AI infrastructure environment at a scale greater than 100PB.People Management:Experience driving organizational improvements (processes, systems, etc.)Experience training, or managing managers.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.About the Role:We are seeking an experienced Software Engineering Manager with a history in the development of storage protocols and distributed storage systems to lead a team of Storage Software Engineers and Distributed Systems Engineers in the design, development, and optimization of cutting-edge distributed storage solutions. Your team will be responsible for building high-performance, scalable, and reliable implementations of object, block, and file protocols, specifically tailored to serve performance demanding AI training and inference workloads. This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a top-talent team of high-performing software engineers focused on delivering distributed storage protocols.Foster a high-velocity culture of innovation, technical excellence, and collaboration.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies.Technical Strategy & Execution:Drive the technical vision and strategy for our distributed storage protocols (e.g., S3, NFS, iSCSI) and their underlying distributed systems.Oversee the development of highly optimized storage solutions designed to meet the performance demands of AI/ML workloads (e.g., high throughput, low latency, optimization for AI workload access patterns).Lead the team in tackling complex distributed systems challenges, including concurrency, consistency, fault tolerance, and data durability across multiple data centers.Guide engineering team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Deeply understand the performance bottlenecks of existing storage systems and guide the team in developing innovative solutions to overcome them.Lead the team in supporting customers.Cross-Functional Collaboration:Work closely with AI/ML research and products teams to understand customers storage needs and translate them into technical requirements.Work closely with the product engineering team to deliver high quality products to customers to meet their unique needs.Collaborate with product management to define the product roadmap and prioritize features.Work closely with HPC Architecture, Networking, Compute, and Storage Engineering teams to deploy high-performance distributed storage protocols to serve AI/ML workloads.Partner with fleet engineering and platforms teams to ensure seamless deployment, monitoring, and maintenance of the distributed storage protocols.Work in lock-step with the Storage Engineering team to provide reliable storage products on top of a variety of physical storage solutions.Innovation & Research:Stay current with the latest trends and research in distributed systems, storage technologies, and AI/ML hardware/software advancements.Work with the Lambda product team to uncover new trends in the AI inference and training product category.Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency.YouExperience:10+ years of experience in software development, with at least 5+ years in a management or lead role in storage software engineering.Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment.Extensive hands-on experience in designing and implementing distributed storage systems.Experience with storage protocols serving storage volumes at a scale greater than 20PB.Experience developing and tuning distributed storage protocols across scaling challenges using namespacing, sharding, and caching strategies.Familiarity with deploying and running applications on Kubernetes or other container orchestration systems (e.g., AWS ECS, Hashicorp Nomad).Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule.Technical Skills:Knowledge in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Professional individual contributor experience in languages such as C++, Go, Rust, or Python.Familiarity with modern storage technologies (e.g., NVMe, RDMA) and their role in optimizing performance.Experience with containerization technologies (e.g., Docker, Kubernetes) and their integration with storage solutions.Distributed Systems Knowledge:Solid understanding of distributed systems concepts, including consensus algorithms (e.g., Raft, Paxos), distributed caching, failure recovery, consistency models (e.g., eventual consistency), fault tolerance, data replication, load balancing, and distributed consensus algorithmsPeople Management:Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Nice to HaveExperience:Demonstrated delivery of distributed storage protocols in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company.Experience with storage protocols serving storage volumes at a scale greater than 100PB.Implementation of distributed storage protocols backed by a variety of storage solutions, performance-tuned for AI/ML workloads.Experience driving cross-functional engineering management initiatives (coordinating deployments, strategic planning, coordinating large projects).Technical Skills:Deep expertise in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Strong programming skills in languages such as C++, Go, Rust, or Python.In-depth knowledge of operating system internals, including file systems, caching, and I/O scheduling.AI/ML Domain Knowledge:Experience working with AI/ML training and inference frameworks (e.g., TensorFlow, PyTorch).Understanding of the unique data access patterns and performance requirements of AI workloads.Distributed Systems Knowledge:Proven ability to design and debug highly concurrent and fault-tolerant systems.People Management:Experience driving organizational improvements (processes, systems, etc.)Experience training, or managing managers.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.