Find AI Work That Works for You

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Who are weEma, a Series A startup founded by serial entrepreneurs and ex-Google, Coinbase, and Okta executives, is revolutionizing the AI landscape to empower employees across enterprises, unlocking their creativity and productivity. Backed by top investors and angels, we are transforming the way businesses operate. Currently in stealth mode in Silicon Valley, Ema is seeking a highly talented and experienced Full Stack Engineer with a focus on front-end development to join our founding team. The ideal candidate will have a passion for building captivating user experiences while also contributing to back-end architecture and API integrations. This is a unique opportunity to make a substantial impact on a cutting-edge product.In this role, You Will:Design, develop, and implement exceptional user interfaces for web applications, using modern web technologies such as HTML, CSS, and JavaScript.Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes.Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems, as well as with third-party services.Build, test, and deploy web applications using a variety of web development frameworks, such as React, Angular, Vue.js, or Next.js.Troubleshoot and resolve UI-related issues, guaranteeing a consistent and optimal user experience across multiple platforms and devices.Build end-to-end writing clean, maintainable, and well-documented code, adhering to established coding standards and deploy/debug using platforms like Vercel.Ideally, you'd have:Bachelor's degree in Computer Science, Web Development, or a related field.A minimum of 5 years of professional experience in UI engineering, with a focus on API integration, data visualization, and web app development.Strong proficiency in HTML, CSS, and JavaScript, as well as experience with modern front-end frameworks, such as React, Angular, Vue.js or Next.js.Experience with RESTful and gRPC APIs and API integration, as well as familiarity with JSON, XML, and OAuth.Knowledge of back-end technologies, such as Python, and experience with server-side frameworks, such as FastAPI, is a plus.Familiarity with version control systems, such as Git, and build/deploy platforms such as Vercel.Excellent problem-solving and analytical skills, with a keen eye for user experience and a strong commitment to delivering the highest-quality user experience.Strong communication and collaboration skills, with the ability to work effectively both independently and as part of a team.Experience working with global teamsEma Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.  Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.As a Cohere Research Intern, you will:Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.Disseminate your research results through the production of publications, datasets, and code.Contribute to research initiatives that have practical applications in Cohere’s product development. You may be a good fit if you:Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period. Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.Are familiar with autoregressive sequence models, such as Transformers.Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly. Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.Have previous experience in building systems based on machine learning and deep learning techniques. Demonstrate passion for applied NLP models and products.Preferred Qualifications: Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science. Proven ability to tackle analytical problems using quantitative methodologies. Proficiency in handling and analysing complex, high-dimensional data from various sources.Experience in applying theoretical and empirical research to real-world problem-solving.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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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.About the Role At Anthropic, we're building frontier AI systems that require unprecedented levels of security and isolation. We're seeking a Staff Security Engineer specializing in container and VM security to help us design and implement robust sandboxing solutions that protect our AI infrastructure from untrusted workloads while maintaining performance and usability. In this role, you'll be at the forefront of securing our compute infrastructure, working with cutting-edge virtualization and containerization technologies. You'll architect secure-by-default systems that leverage Linux kernel isolation mechanisms, design threat models for complex distributed systems, and build defenses that can withstand sophisticated attacks. Your work will be critical in ensuring that our systems remain secure as we scale to support increasingly powerful models and diverse use cases. Responsibilities Design and implement secure sandboxing architectures using virtualization (KVM, Xen, Firecracker, Cloud Hypervisor) and container technologies (OCI containers, gVisor, Kata Containers) to isolate untrusted workloads Develop deep expertise in Linux kernel isolation mechanisms including namespaces, cgroups, seccomp, capabilities, and LSMs (SELinux/AppArmor) to build defense-in-depth strategies Create comprehensive threat models for our sandboxing infrastructure, identifying attack vectors and designing mitigations for container escapes, VM breakouts, and side-channel attacks Build and maintain security policies and configurations for multi-tenant cloud environments, ensuring strong isolation between different workloads Partner with infrastructure teams to implement secure-by-default patterns for deploying and managing containerized and virtualized workloads at scale Develop monitoring and detection capabilities to identify potential security breaches or anomalous behavior within our sandboxed environments Lead security reviews of new sandboxing technologies and provide guidance on their adoption within our infrastructure Mentor other engineers on secure coding practices and sandboxing best practices Contribute to our security incident response efforts, particularly for isolation-related security events Collaborate with research teams to understand the unique security requirements of AI workloads and develop appropriate isolation strategies You may be a good fit if you: Have 8+ years of experience in systems security, with deep expertise in virtualization and containerization security Possess expert-level knowledge of Linux kernel isolation mechanisms and have experience implementing them in production environments Have a proven track record of securing untrusted workloads in cloud settings, including both public cloud and private infrastructure Are proficient in multiple programming languages (e.g., Go, Rust, C/C++, Python) with experience in systems programming Have hands-on experience with container runtimes (Docker, containerd, CRI-O) and orchestration platforms (Kubernetes) Understand hypervisor internals and have experience with VM security (QEMU/KVM, Xen, VMware, Hyper-V) Can design and articulate complex threat models for distributed systems Have experience with cloud provider security models and their isolation guarantees Thrive in ambiguous environments and can balance security requirements with performance and usability needs Communicate effectively with both technical and non-technical stakeholders about security risks and mitigations Strong candidates may also have: Experience with microVM technologies (Firecracker, Cloud Hypervisor) and their security properties Knowledge of hardware-based security features (Intel TDX, AMD SEV, SGX) and their application to confidential computing Contributions to open-source security projects related to containerization or virtualization Experience with eBPF for security monitoring and enforcement Understanding of AI/ML workload characteristics and their unique security requirements Track record of identifying and responsibly disclosing security vulnerabilities in virtualization or container platforms Experience building security tooling and automation for large-scale infrastructure Background in formal verification or security research Representative projects: Designing a multi-layered sandboxing architecture that combines VMs and containers to safely execute untrusted AI-generated code Implementing runtime security policies using seccomp, AppArmor, and SELinux to minimize container attack surface Building a threat detection system that identifies potential container escape attempts using eBPF and kernel audit logs Creating secure defaults and guardrails for Kubernetes deployments to prevent privilege escalation and lateral movement Developing automated security testing for our sandboxing infrastructure to continuously validate isolation properties Architecting network isolation strategies using CNI plugins and cloud-native firewalling to segment workloads Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking an Electrical Engineering Intern to join our team in Houston, TX and contribute to the development of cutting-edge humanoid robotics systems. You'll work directly with our mechanical and electrical engineering teams on real projects that impact our robot development.What You’ll Work On:PCBA Design & Testing: Support development and validation of custom electronics for humanoid robot power, communication, and actuation systemsCabling Systems: Assist with design and prototyping of robotic systems with a focus on designing cabling and understanding grounding and bondingEmbedded System Development: Be involved with the writing, testing, and validating embedded software for the custom electronics that we have producedEngineering Documentation: Create technical documentation, drawings, test reports, and design specificationsWhat you’ll learn:Hands-on experience with humanoid robotics development from concept to productReal-world application of engineering fundamentals in cutting-edge roboticsQualifications:Currently pursuing, or have obtained, a Bachelor's or Master's degree in Electrical Engineering, Robotics, Mechatronics, or related fieldA passion for robotics, automation, or electromechanical systemsExperience with electrical CAD software (ideally KiCAD), prototyping, and hands-on building (coursework, personal projects, student competitions, or hobby work)Experience with embedded software development (C, C++, Python, Git tools) and circuit simulation software (LTSpice)Strong work ethic and willingness to get hands-on with tools, equipment, and testingCollaborative mindset with excellent communication and teamwork abilitiesSelf-motivated with ability to ask good questions and take initiativeProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX (onsite)Compensation: Competitive hourly rateWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking a Mechanical Engineering Intern to join our team in Houston, TX and contribute to the development of cutting-edge humanoid robotics systems. You'll work directly with our mechanical and electrical engineering teams on real projects that impact our robot development.What You’ll Work On:Actuator Design & Testing: Support development and validation of custom actuation systems for humanoid jointsMechanical Systems: Assist with design and prototyping of robotic systems with a focus on structural components and mechanical assembliesProduct Development: Be involved with the building, testing, and validation of the robotic systems that you have participated in designingEngineering Documentation: Create technical documentation, test reports, and design specificationsWhat you’ll learn:Hands-on experience with humanoid robotics development from concept to productReal-world application of engineering fundamentals in cutting-edge roboticsQualifications:Currently pursuing, or have obtained, a Bachelor's or Master's degree in Mechanical Engineering, Robotics, Mechatronics, or related fieldA passion for robotics, automation, or electromechanical systemsEagerness to tackle challenging technical problemsExperience with CAD software (ideally Onshape), prototyping, and hands-on building (coursework, personal projects, or hobby work)Strong work ethic and willingness to get hands-on with tools, equipment, and testingCollaborative mindset with excellent communication and teamwork abilitiesSelf-motivated with ability to ask good questions and take initiativeProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX or Pensacola, FL (onsite)Compensation: Competitive hourly rateWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 3 years of experience with coding (Python, R, SQL). Over 3 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank and insurance industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking.   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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This role is remote, so it can be executed globally. However, to facilitate working with the engineering team we strongly prefer candidates based in GMT-4 to GMT+3. We have offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabs ElevenLabs 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 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. We are remote first with optional in-person offices in San Francisco, New York, Dublin, London, Tokyo, and Warsaw.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.Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the roleAs a Forward Deployed Engineer Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Strategists to deploy our voice AI technology against the most challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.No two days are the same, but as a FDE Strategist you can expect to:Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.Scope out potential applications in new industries and expand our AI solutions across different sectors globally.Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.RequirementsExperience working with customers in a technical capacity. It's ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them.Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.A proven track record of taking ownership of complex projects and delivering results.Adaptability to work across different customer environments and technical use cases.Technical aptitude to quickly understand our voice and audio AI models and their applications.#LI-Remote

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TL;DR – We’re looking for a Security Engineer to raise the bar for how fast-moving AI teams stay secure. You’ll work with infra, ML, and product teams to protect our stack without slowing us down. This is a high-leverage role for someone who wants to build security into the core of everything we ship.Why Lovable?Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking for5+ years of experience securing modern cloud-native environments, ideally at product-focused tech companies or early-stage startups or top-tier AI labs.Deep knowledge of securing engineering infrastructure: CI/CD pipelines, secrets, service-to-service auth, containerized environments, and public cloud.Strong systems mindset - you're comfortable diving into infra code, writing tools, and contributing directly to engineering workflows.Track record and intuition to design pragmatic security controls that don’t slow teams down.Bonus: You’ve shipped internal security tools or open-sourced relevant infra.What you’ll doIn one sentence: Help us build and ship AI products at extremely high velocity without compromising on security.Identify high-leverage surfaces across Lovable’s engineering stack, from CI/CD and auth to product endpoints.Design and implement tooling that helps developers go the secure route by default.Own detection, triage, and response for vulnerabilities and incidents - internal and external.Collaborate with infra, ML, platform and product engineers to embed security into everything we build.Track emerging risks in AI infra, LLM pipelines, and third-party integrations, and close the gaps before they matter.Our tech stackWe're building with tools that both humans and AI love:Frontend: React for lightning-fast interfacesBackend: Golang and Rust for serious performanceCloud: Cloudflare, Google Cloud, AWS, TerraformDevOps & Tooling: CI/CD pipelines, observability, infra-as-codeAnd always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with the team.Complete the take-home exerciseShow us how you approach problems during two technical interviewsJoin us for trial work lasting 2 days preferably on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal

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Gauss Labs is looking for passionate, motivated Senior Software Engineers to join the Software Engineering and AI Platform (SWAP) Team in Seoul.Since Gauss Labs is a hyper-growth start-up in the industry AI market, we are seeking someone passionate and fearless about exploring new opportunities and solving complex problems starting from the root cause while maintaining a higher standard for software quality.At SWAP, we build enterprise-level ML-based software products to solve some of the most challenging problems for our industry customers.We are looking for a hands-on, experienced software engineer with expertise and passion for complex problem solving. In this role, you will be fully responsible for the entire software development lifecycle—from individual product features to the complete product—while collaborating with other talented Software Engineers and AI Scientists. You will also work closely with product teams and customer engagement to understand customer requirements and incorporate their needs into the product.This role requires exceptional technical expertise, a deep understanding of computer science fundamentals, and experience building reliable, scalable, high-performance systems. Strong teamwork and communication skills are essential for collaborating with technical and business partners. ResponsibilitiesDesign, develop, and deploy a secure, reliable, and scalable ML-based software product to meet enterprise-level customers' requirementOwn end-to-end development, ensuring high standards in software design, coding, code reviews, automated testing, and deployment within CI/CD practicesParticipate in code and architectural reviews, and write technical documentation to ensure high code quality and maintainable systems across distributed engineering teamsOptimize and improve ML-based software components to fully leverage distributed system conceptsWork with the SRE team to identify and resolve technical challenges in the production environmentCollaborate with AI scientists to leverage algorithmic components in building effective solutions and productsPartner with project and program managers to understand product requirements and effectively address the customers' business challenges Basic QualificationsBachelor’s degree in Computer Science or related fields6+ years of professional experience in software development to build highly scalable, performant, and reliable software6+ years of programming with at least one programming language, such as Python, Java, C/C++, or RustProven track record of solving complex problems with strong foundational knowledge of DSA (Data Structures and Algorithms) and core CS principles (i.e., Operating Systems, Networking, Databases, etc.) Preferred QualificationsMaster's degree or PhD in Computer Science or related technical field.5+ years of experience with the full software development lifecycle (SDLC), including software design, coding, code review, automated testing, and deployment in CI/CD practicesProven experience building complex software systems that have been successfully delivered to customersHands-on experience with Kubernetes or container platforms in cloud environments(e.g., AWS, GCP, Azure, OpenStack, etc)Experience with large-scale data pipeline concept and tools (e.g., Hadoop, Impala, Spark, Flink, Airflow, Kafka, Redis, MongoDB, Cassandra, etc.)Experience with ML ops tools and framework(e.g., Ray, MLflow, Kubeflow, etc.)Experience working in cross-functional team environments, such as with product teams, customer engagement, or SRE/DevOps teams.Willingness to investigate complex problems thoroughly and identify root causesExcellent communication skills in both verbal and written forms, with proficiency in English

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!It's lovely to meet you in Vienna for ACL 2025. We're recruiting for a range of roles available for review here: https://jobs.ashbyhq.com/coherePlease drop your CV under this posting and our Talent Team will reach out after the conference if there is a suitable role open.Below is a job description for one of our Member of Technical Staff roles.Why this role?Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.Please Note: We have offices in Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Member of Technical Staff, you will:Design, build and scale AI systems for serving our users.Research, implement, and experiment with ideas on our supercompute and data infrastructure.Learn from and work with the best researchers in the field.You may be a good fit if you have:Extremely strong software engineering skills.Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience writing kernels for GPUs using CUDA.Experience using large-scale distributed training strategies.Familiarity with autoregressive sequence models, such as Transformers.Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.As a Senior Product Manager, you will drive the vision and strategy for our agentic AI conversation platform. We are developing new automation capabilities at a rapid pace given the recent advancements in GenAI, and this is a great opportunity to dive headfirst and deliver differentiated products to the market. Your role will be pivotal in shaping our future product landscape, and will work closely with the Application Engineering, Machine Learning, and GTM teams (Sales, Customer Success, Delivery) to integrate cutting-edge Machine Learning technologies into our product suite to deliver unparalleled value to our customers on a large scale.What You'll DoEngage with customers and end-users to understand needs and translate insights into product enhancements and new automation opportunitiesLead key initiatives for Replicant’s Conversation Automation product, turning Replicant’s vision of the next-generation contact center into realityTranslate that vision to practical and executable experiments and productsWork with a cross-functional Engineering, Design, and GTM team to deliver generative AI-powered solutions that solve customer needs and drive business valueDefine and measure business outcomes and metrics from deployed solutionsConduct research and competitive analysis to identify new opportunities in the field of LLMs and AI, and ensure Replicant remains a leader in this spaceCollaborate with cross-functional business partners and leadership across the companyWhat You'll Bring5+ years of product management experience with a track record of exceptional product delivery that delighted customersAn owner mentality that is willing to get into the weeds to ensure the right product is deliveredDeep data orientation with experience making data driven decisions including defining the right KPIs and setting aggressive goalsExperience bringing structure to unstructured bodies of work, developing strategy, and adapting to changeExcellent communication skills, with an ability to collaborate and influence cross-functional stakeholdersNice - To - Have's1+ years experience in AI/MLPrevious experience at a high-growth startupExperience working in research or other development programs with very high ambiguity, technical complexity, and riskFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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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: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is remote #LI-Remote  

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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: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is hybrid (3 days a week in our Bangalore offices)

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity AI is looking for an experienced Quality Engineer to join our small team revolutionizing the way people browse the Internet. You will be responsible for ensuring the high quality of Comet across Android and iOS. You will work closely with the design, engineering, product, data and support teams. The ideal candidate should have strong communication and writing skills, an eagerness to learn, and attention to detail. Responsibilities Understand and analyze the existing product as well as new features Ensure a high craft and quality bar, both in the user experience and the developer experience. Participate early in the design process and flag potential issues to designers. Monitor both quantitative and qualitative sources of feedback for quality issues. Work with product management and engineering to debug and resolve problems. Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Detect bugs and UI issues on a variety of devices Develop, document, and execute test plans, test cases, and test scripts Detect performance problems by benchmarking against similar products Requirements 4+ years industry experience Experience with Android and iOS Diligent approach to testing and QA Organization and communication skills Understanding of AI products, including prompting Ability to learn new software tools quickly [Preferred] Experience with Browser QA [Preferred] Experience with CI/CD systems [Preferred] Experience managing QA vendors Our cash compensation range for this role is $90,000 - $130,000.  Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Partner | Head of TechnologyJoin a rapidly growing AI startup helping businesses 10x, 10x faster.RoleTitle: Partner, Head of TechnologyCompensation: $160,000 - $200,000Location: RemoteCommitment: Full-timeBenefits: Health, Dental, Vision, and Insurance CoverageBonus: $20,000 bonus potential based on company performanceEquity: Senior Partner Level EquityAbout Ascendancy Ascendancy helps the world’s most ambitious companies grow through strategic, high-trust relationships. We combine AI-powered network intelligence with warm, organic outreach to get our clients in the room with the right people, faster. We’re well funded, projecting $2M in ARR for 2025 and on a clear path to $8M+ in 2026. This is a rare opportunity to join a high-growth startup that’s low-risk, high-impact, and offers meaningful ownership and responsibility from day one.Position’s Core FunctionThe Head of Technology will lead the creation of a first-of-its-kind Network OS: an AI-powered platform that maps, tracks, and activates human relationship capital at scale. This tool will give CEOs instant visibility into their networks, outperform LinkedIn for opportunity sourcing, surpass CRMs for warm intros, and offer richer, more meaningful connections than other relationship tracking platforms. It will visualize deep network graphs across VIP stakeholders—investors, board members, shareholders—and power Ascendancy’s mission to become one call away from every major global leader, investor, and Fortune 5000 CEO.ResponsibilitiesDesign and build robust backend services and APIs to power our core platformDevelop and maintain scalable data pipelines to support internal analytics and AI/ML applicationsManage and optimize Ascendancy’s data lake/warehouse architectureDesign data workflows that integrate and experiment with ML modelsEnsure high performance, security, and reliability across backend systemsLead infrastructure decisions, especially related to data governance and scalabilityBe a critical strategic thought-partner for developing Ascendancy’s long-term operations needsDesired Experience & QualificationsProficiency with Python, SQL, and modern backend frameworks (e.g., FastAPI, Django, Node.js)Experience with data pipeline tools (e.g., Airflow, dbt, Kafka, Spark, etc.)Comfortable working with cloud infrastructure (e.g., AWS, GCP, Azure)Solid understanding of relational and non-relational databasesInterest in AI/ML workflows (working with ML engineers, model training, or building inference pipelines)Extremely detail-oriented, adaptive, collaborative growth mindset, proactiveSolid organizational, analytical, logical reasoning, oral, and written presentation skillsComfortable and high stress, fast paced environmentDriven by a vision of technology that brings people closer—not further apart.

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People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai’s unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, IBM Red Hat, Snowflake, Zoom, and Palo Alto Networks rely on their enterprise-ready, patented AI technology.  At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own.  Key ResponsibilitiesTechnical Support Excellence: Manage and resolve customer support cases independently, maintaining an average Time to Resolution (TTR) of 5 business days for standard casesProblem Diagnosis: Use SQL/SOQL and product tools to analyze, diagnose, and troubleshoot customer support requests with precision and efficiencyCustomer Communication: Provide timely, clear, and empathetic communication to customers, ensuring they feel heard and valued throughout the support processCross-functional Collaboration: Partner with Engineering and Product teams to identify and resolve recurring technical issues, reducing engineering dependency by 10%Technical Translation: Serve as a trusted advisor by translating complex technical details into clear, actionable insights for both customers and internal teamsCase Management: Maintain a manageable case backlog of fewer than 10 active cases at any time while ensuring quality and thoroughnessDocumentation: Create detailed investigation reports and maintain accurate case documentation to support knowledge sharing and continuous improvementEscalation Management: Appropriately escalate complex issues with proper documentation, ensuring no more than 5% of cases are escalated without complete information RequirementsProficiency in SQL/SOQL for data analysis and troubleshootingExperience with CRM platforms (Salesforce preferred) and their technical configurationsUnderstanding of APIs and data integration conceptsFamiliarity with case management systems (e.g., Jira, Zendesk)Basic knowledge of data flows and system architectures2+ years of experience in technical support, customer success, or a similar customer-facing technical roleProven track record of managing multiple support cases while meeting SLA requirementsExperience working cross-functionally with engineering and product teamsDemonstrated ability to learn new technologies and systems quicklyCustomer-centric mindset with the ability to empathize and communicate effectively under pressureStrong problem-solving skills with attention to detail and accountabilityExcellent written and verbal communication skills for both technical and non-technical audiencesCollaborative approach with the ability to work effectively across multiple teamsContinuous learning mindset with curiosity and openness to feedbackCreative and innovative thinking with the ability to recognize new ways of solving problems

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Who we are:Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, Youtube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.What you’ll do:You will be the PM leader who turns strategy into a roadmap, shepherds new SKUs from concept to GA, and scales product practice across service and eventually SaaS product lines.Key ResponsibilitiesExecute and refine the product roadmap to scale ARR growth working closely with sales to review customer opportunities, refine the ICP, and make adjustments based on feedback.Launch co-managed platform console and continue to evolve existing user interface to support customer acquisition.Partner with Engineering to ship reviewer console, QA-routing, and model feedback mechanisms and features. This may include defining and running experiments to validate approaches.Refine pricing, define success metrics, and identify quarterly targets; track gross-margin lift.Lead and mentor a small team including design and technical program managers; build cross-functional execution rhythm.Minimum QualificationsHave 2+ years in product leadership with AI/ML or data-platform products.Track record of excellence or success having shipped SaaS platform/tools and a bonus if they included any complementary service offerings.Demonstrated usage of metrics and data to drive product direction – set north-star metrics, build lightweight dashboards, and use numbers to kill or double-down on bets without waiting for a board meeting.You might be a fit if:Scale-up instincts – you’ve taken at least one zero-to-$20 M product through messy PMF, wearing strategy, discovery, and release-manager hats along the way.Hands-on leadership – comfortable running sprint backlog one hour, pitching roadmap to investors the next; your default is “grab the doc, not delegate the doc.”AI/ML fluency – you can explain key AI concepts to a salesperson, interrogate model metrics with an engineer, and turn both into customer-ready value props. Understand labeling, RLHF / evaluation loops, and compliance needs (GDPR, EU AI Act, SR 11-7).Enterprise empathy – have sold or integrated with mid-market or regulated customers; understand security reviews, DPAs, and why CSV ingest sometimes beats real-time APIs and can design low-friction experiences for customers with lean engineering teams.Bias for shipping – iterate in quarters and sprints, not years; believe v1 in prod beats v3 in slides.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersCompetitive compensation, comprehensive benefits, and hybrid in-office policy. Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is:$100,000 - $200,000 USD per year (Palo Alto)

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About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Research Scientist in Post-Training, you will advance the methods for making foundation models more useful and reliable. You will analyze the limitations of current approaches to post-training across domains such as data curation, reinforcement learning, and model evaluation. Based on this analysis, you will design new techniques for model adaptation, as well as benchmarks for measuring the progress in the field. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/NLP conferences and collaborate with your teammates to integrate those improvements into Together’s platform. Responsibilities Define and drive the research agenda around efficiency and performance of foundation model training Study recent results from the broader AI research community, analyzing their relevance to the team’s research directions and ongoing projects Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work Share your findings both internally and externally (e.g., at top-tier conferences on ML and NLP) Partner with Machine Learning Engineers to integrate advanced methods into Together’s Model Shaping platform Requirements Can autonomously design, implement, and validate your research ideas Skilled at writing high-quality and efficient code in Python and PyTorch Have first-author publications at leading conferences on ML or NLP (ICLR, ICML, NeurIPS, ACL, EMNLP) Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience Follow the latest advances in relevant subfields of AI Are passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it Stand-out experience: Reinforcement learning of language models Curation of pre-training or post-training datasets and benchmarks Robust evaluation of foundation models Running large-scale experiments on GPU clusters About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Research Scientist in Large-Scale Learning, you will work on the methods for increasing the efficiency of training foundation models, in terms of both speed and resource efficiency. You will analyze the limitations of state-of-the art techniques for neural network training, as well as the unique performance challenges of Together’s training setups. Based on this analysis, you will propose and implement new approaches, targeting both algorithmic improvements and systems optimizations. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/ML Systems conferences and collaborate with your teammates to integrate those improvements into Together’s platform. Responsibilities Define and drive the research agenda around efficiency and performance of foundation model training Study recent results from the broader AI research community, analyzing their relevance to the team’s research directions and ongoing projects Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work Share your findings both internally and externally (e.g., at top-tier conferences on ML and ML Systems) Partner with Machine Learning Engineers to integrate advanced methods into Together’s Model Shaping platform Requirements Can autonomously design, implement, and validate your research ideas Skilled at writing high-quality and efficient code in Python and PyTorch Have first-author publications at leading conferences on ML or ML Systems (ICLR, ICML, NeurIPS, MLSys) Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience Follow the latest advances in relevant subfields of AI Passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it Stand-out experience: Algorithmic modifications of large neural network training (e.g., novel optimization algorithms or model adaptation techniques) Distributed optimization (including federated learning, communication-efficient optimization, and decentralized training) ML systems optimizations for distributed training, memory efficiency, or compute efficiency Writing optimized NVIDIA GPU kernels or communication collectives using NVIDIA’s networking stack (e.g., NCCL or NVSHMEM) Running large-scale experiments on GPU clusters About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy