AI Product & Operation Jobs

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About the RoleAnyscale is seeking a Senior Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for RayTurbo Data, our high-performance commercial engine.You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffsWorking closely with customers and open source users to draw the subtle line between growth and commercializationStrategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value.Thinking deeply about and clearly articulating the product strategy to stakeholdersKey ResponsibilitiesDrive the Ray Data product roadmap - Balance open source Ray Data feature development with RayTurbo Data commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and RayTurbo remains sufficiently compelling.Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrationsMarket Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.Customer engagement - Drive key customer engagements assisting sales and field engineering teams.Required Qualifications3+ years of product management experience with technical productsStrong technical background in distributed systems, ML infrastructure, or data processingExperience working with developer and enterprise audiencesStrategic thinking with ability to balance competing priorities and stakeholder needsLocated in or willing to relocate to the Bay AreaPreferred QualificationsPrior experience with open source products and commercial monetization strategiesBackground in ML tooling, data infrastructure, or developer toolsAbout Ray DataRay Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.

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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 The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth. Responsibilities: Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes Institute and design governance workflows to help manage additional capacity request approvals Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis. Tech lead with outside vendors to manage anthropic capacity needs Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure Work closely with TPMs on special efficiency projects and help deliver committed outcomes You may be a good fit if you:  5+ years experience in capacity engineering 5+ years experience in a technical role Intermediate knowledge of various public cloud providers Experience with data modeling for public cloud Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows Experience in scripting and building automation tools  Self-disciplined and thrives in fast paced environments Excellent communication skills Familiarity with cloud compute, storage, network, and services Attention to detail and a passion for correctness Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$320,000—$405,000 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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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!Engineering Program Manager, NorthPosition OverviewWe're seeking an Engineering Program Manager to strengthen our North operations and drive execution excellence across our product portfolio. This role will work closely with engineering, product, and cross-functional teams to ensure seamless project lifecycle management and operational efficiency. About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. As an Engineering Program Manager, you will:Establish and scale foundational processes that allow North's teams to execute better and faster across our growing platformPartner directly with North leadership and Members of Technical Staff on efforts to design, develop and improve North's core capabilities and research betsRun cross-functional programs, collaborating and coordinating with Product, Engineering, Design, and Customer Success teams on delivering features on time and within scope, establishing feedback loops, and optimize resource distribution across competing prioritiesMap out dependencies and risks across the North ecosystem, ensuring smooth cross-functional execution while communicating status to both technical and non-technical stakeholdersTroubleshoot cross-team challenges and build dependable partnerships both within and outside the North organizationConstantly seek to improve communication flow of priorities, ideas, and progress throughout all layers of the organizationManage project tracking tools, Linear triage, team workflows, and facilitate cross-functional planning sessionsRespond quickly to program-level changes, clarifying new scope and marshaling resources in response to evolving customer and market priorities YYou may be a good fit if you:Have 3+ years as an Engineering Program Manager or Technical Program Manager, with demonstrated experience in startup or high-growth environmentsHave experience with AI/ML products or technical platformsHave a resourceful, can-do attitude and thrive in ambiguous, fast-paced environments where you can wear multiple hats and do whatever it takes to get things doneAre comfortable with low structure, high impact situations where you can roll up your sleeves, be pragmatic, and function at both tactical and strategic levels to drive results, with proven ability to build processes, teams, or programs from scratchHave strong bias for action and can move quickly from problem identification to solution implementationHave experience with project management tools (Linear, Jira, etc.) and can effectively manage workflows and processesHave excellent communication skills for interfacing with both technical teams and business stakeholders across all levels of the organizationHave experience working across multiple customer environments and triaging requests effectivelyLove to automate your work - and can use North to do so!This role offers the opportunity to build foundational program management skills while directly impacting product delivery and team efficiency across our growing North operations.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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Frontend Engineer About Durable: Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What You’ll Do: In this high-impact role, you’ll join a product engineering pod focused on building fast, polished, AI-native user experiences. You’ll work closely with design and product to craft responsive features and interaction patterns using modern frontend tools and frameworks. Key Responsibilities: Build modern, performant, and highly interactive UI features using React, TypeScript, Tailwind CSS, and NextJS Implement and maintain design systems, UI components, and documentation using Storybook Create delightful, interactive experiences with motion and animation using Rive and Radix primitives Integrate data and API logic via TRPC and TanStack Query with an eye for loading states and transitions Optimize for Core Web Vitals, accessibility, and multi-device responsiveness Collaborate with product, design, and AI teams to shape high-quality, user-facing experiences Work closely with design to prototype, test, and polish features that feel fast and intuitive Ensure consistent UX quality and frontend performance as we scale our platform Qualifications: 3+ years of professional experience building production-grade web applications Strong fluency with React, NextJS, TypeScript, and modern frontend engineering best practices Deep experience with Tailwind CSS and design system implementation Experience with animation, micro-interactions, or tools like Rive and Framer Motion Familiarity with frontend architecture, component libraries, and state management (e.g. TanStack Query, TRPC) Care for performance, browser fundamentals, accessibility, and visual detail Bonus: Experience with design engineering, design tokens, visual regression testing, or contributing to UI kits Why Join Us? At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Hybrid Flexibility & Gastown HQ: Our well-stocked Vancouver office offers stunning views of the North Shore, and while we value in-person collaboration, you're free to work from home when you need to. Mondays and Thursdays are our in-office anchor day. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Commitment to engineering excellence: We care deeply about our craft and build using the most AI-native stack and tools available. Location: Remote. We welcome candidates from across Canada, and have a preference for PST timezone for overlap with the majority of our team.  Compensation: Base salary range is $180,000-$225,000 CAD, plus equity. This range is relevant to candidates located in Vancouver, Canada. Actual compensation will be based on a combination of factors including experience and skill level. Recruitment process: This is our typical recruitment process. It may vary a bit but generally this is what you can expect to take place over the span of several weeks. Recruiter screen (Online, 15-20mins) Hiring Manager screen (Online, 15-20mins) Behavioural (On-site, 30mins) Technical Interview (On-site, 90mins) Group Chat (Online or On-site, 25mins) References + Offer The behavioural, technical, and group portions are often completed at the same time at our office.

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Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a growth engineer to join the founding team. Someone scrappy, who believes in getting a lot of iterations in fast, and someone who'd be excited about translating cutting-edge AI capabilities into elegant and reliable product experiences.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Improve the speed and quality of our engineering process.Design, implement and analyze experiments to drive user acquisition, activation, and retention.Own and develop both frontend and backend systems that support growth initiatives.Work closely with designers, product and AI engineers.Improve the speed and quality of our engineering process.What we’re looking for:Strong engineering skills, especially in the stack: React, Typescript, Python, AWS.Deep understanding of how the web / HTTP works.Experience working with large distributed systems.High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Strong product intuitions. Passion to get the details right.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team You will work on the team that is responsible for the backend services that power grok.com and our API. Our team is currently based primarily in London with a small but growing number of engineers located in Palo Alto. We focus on writing highly scalable and reliable services that can efficiently process tens of thousands of queries per second. The entire backend stack is written in Rust. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB. Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerised applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping). Locations We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. All interviews will be conducted via Google Meet. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team You will work on the team that is responsible for the frontend services that power grok.com and our API. Our team is distributed across London and Palo Alto. We focus on implementing highly performant user interfaces that are delightful to use. We primarily use React with NextJS for rendering. About the Role An ideal candidate meets the following requirements: Expert knowledge of TypeScript and React, Expert knowledge of Tailwind, Expert knowledge of best practices regarding performance, accessibility, and frontend security. Additionally, any of the following qualifications may help a candidate stand out: Experience in advanced web technologies such as WebGL, WebSockets, WebAssembly, web workers, and PWAs, Experience in UI and UX design, Experience in implementing sophisticated CSS animations. Experience with Kubernetes. Location We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews: Coding interview in TypeScript: Write a small app in React HTML/CSS interview: Given a screenshot of a UI, implement it All interviews will be conducted via Google Meet. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Seeking a Program Manager to lead a Direct Commercial Sale program for an international customer which will deliver transformative unmanned aerial vehicle (UAV) systems.  

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At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As one of the fastest-growing organizations at Vanta and the first to leverage AI, the Trust team is responsible for driving innovation through artificial intelligence, disrupting the security industry with continuous, automated monitoring and delivering more accurate insights to help customers make informed decisions. You'll be working on 0→1 initiatives, shaping the future of security with cutting-edge AI capabilities. The Trust organization owns three distinct AI-powered products (Trust Center, Questionnaire Automation, Vendor Risk Management ) and is actively innovating on new products. As a Senior Full-Stack Software Engineer, you’ll lead high-impact, ambiguous projects across our entire technical stack, playing a key role in shaping the direction of our product. You’ll collaborate closely with customers to deeply understand their needs and mentor a talented engineering team to deliver innovative, scalable solutions.Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company.Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We’d love for you to join us!Visit our Vanta Engineering Blog to learn more about what our team is working on! About the Role at Vanta: As a Senior Software Engineer at Vanta, you’ll be responsible for leading complex, cross-functional projects that may span across teams and systems. Senior Engineers at Vanta have a demonstrated history of leadership—you will define architecture, scope and assign work, align stakeholders, mentor engineers, and ship critical components, and you have a lengthy track record of doing this. You’ll help develop and scale Vanta’s Trust Products, and guide technical growth across the org.Vanta’s levels are a little different than other tech companies- we often see people with Staff or Principal titles at other organizations with scope that matches our Senior level.What You’ll Do as a Senior Software Engineer at VantaLead initiatives: bring clarity to ambiguity, define product scope, and solve for technical complexity.Work with Product and Design partners to shape technical solutions that meet real customer needs.Define architecture, delegate implementation across multiple engineers, and ensure successful outcomes.Deliver key portions of the project directly while reviewing and unblocking others.Drive knowledge sharing and mentor engineers, including senior engineersSetting long term technical strategy for your team and raise engineering quality bar How to be successful in this role:Minimum of 7 years of product-side Fullstack experience; there is no maximum, we often hire Senior Engineers who have 7–10+ years baseline of product delivery and tech lead experienceHave experience with our stack: Typescript, React, GraphQLHas a track record of successfully led highly ambiguous and complex project where problems and solutions are not well defined, while coordinating groups of engineers and working with cross functional stakeholders Demonstrated ability to operate with autonomy, align product and engineering needs, and land high-quality outcomes.Trusted to lead not just code, but also planning, process, and culture.Mentors across levels at a team-wide scale; a technical role model and coach. Contributes to/leads programs which uplevel the code quality of the team.If this sounds interesting to you, but you have even more extensive experience as a leader, please consider applying for our Staff Fullstack Engineer roleWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security.From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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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: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 1-3 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Key knowledge and skills Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Location: Bangalore This role is hybrid (3 days a week in our Bangalore office)

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are seeking a visionary Platform Architect to lead core architectural decisions across our distributed AI stack — from runtime orchestration, through application interfaces, to mesh-aware networking. This is role lives at the intersection of systems architecture, AI infrastructure, and distributed computing. You will define, validate, and evolve the technical blueprint that powers webAI’s intelligent mesh and ensures it scales with enterprise-grade resilience, security, and performance.Key Responsibilities:End-to-End Architecture: Own the design and evolution of the platform architecture across the runtime, application, and mesh-network layers. Prioritize modularity, composability, and real-world deployability.AI Runtime Design: Define and build high-performance runtimes, including task scheduling, memory management, and hardware abstraction for heterogeneous environments (CPU, GPU, NPU). Contribute to or integrate frameworks like ONNX, TensorRT, or custom inference stacks.Networking Layer: Architect resilient peer-to-peer communication and mesh networking systems across diverse radios (Wi-Fi, Bluetooth, WebRTC, etc.), including device discovery, data synchronization, and fault tolerance.Security & Observability: Embed zero-trust principles, encryption at rest and in transit, signed inference, and platform-level logging, monitoring, and diagnostics by design.Technical Leadership: Serve as a technical mentor for engineering teams, validate architectural choices, conduct design reviews, and collaborate with stakeholders to ensure alignment with product vision and performance requirements.Required Skills & Qualifications:Experience:10+ years of relevant experience in systems architecture, distributed computing, or AI infrastructure, with a proven track record designing and scaling production-grade distributed platforms. We require depth of experience and demonstrated impact over tenure.AI Runtime DesignExperience building or contributing to high-performance runtimes (ONNX, TensorRT, custom runtimes).Task scheduling, memory management, hardware abstraction (CPU, GPU, NPU).Tooling & Stack PreferencesSystems programming in Rust, Go, or C++ (must-have: not just Python or web dev).Bonus: experience with federated learning, agent communication, MPC, or privacy-preserving computation.Understanding of real-time, low-latency, and resource-constrained environments.Networking LayerCross-radio P2P communication (Wi-Fi, Bluetooth, WebRTC, etc).Device discovery, resilient mesh networking, and data synchronization.Security & ObservabilityFamiliarity with zero-trust models, signed inference, encryption at rest & in transit.Build-in logging, monitoring, and platform-level diagnostics.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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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 Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective.Similar to how Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You’ll DoEngage with English- and German-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types.Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs.Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs.Conduct research and analysis on customers and competitors.What You HaveJD or equivalent legal qualification.Fluent in German and English.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.Additional Information for PostingsLocation: GermanyWork eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Germany teamOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our 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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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 OverviewWe are seeking an Enterprise Account Executive to lead commercial growth across Germany. This role is responsible for identifying opportunities, managing complex sales cycles, and building long-term relationships within the legal and professional services sector.This position will play a key role in expanding Harvey’s presence in the DACH region, working cross-functionally to deliver tailored solutions to clients.What You’ll DoDeliver against sales targets with a focus on sustainable growth and performance excellence.Own and grow a portfolio of named enterprise accounts across Germany, driving full-funnel sales activity from prospecting through to commercial negotiation and onboarding.Understand client pain points, organisational structure, and buying processes; tailor solutions that align with strategic outcomes.Lead high-impact product demos and client meetings that clearly articulate Harvey’s business value and technical capabilities.Collaborate cross-functionally with product, legal, engineering, and GTM to inform roadmap and surface client needs.Develop deep, long-term relationships with legal, innovation, and executive stakeholders across the region.Document learnings, iterate on messaging, and help build scalable processes to accelerate regional growth.What You HaveMinimum 5 years of experience in enterprise B2B SaaS sales, preferably with exposure to AI, legaltech, or vertical softwareTrack record of success managing complex sales cycles with multiple stakeholdersStrong communication skills, with the ability to explain technical products to non-technical audiencesInterest in the legal industry and a commitment to enhancing knowledge work through technologyFamiliarity with enterprise sales practices in the German regionSelf-motivated and results-oriented, with a collaborative approach to working cross-functionallyAdditional Information for PostingsLocation: GermanyWork eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Germany teamOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our 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 Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers(Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior/Staff Software Engineer, C++ Backend Development, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also have the opportunity to mentor junior engineers and facilitate high-performance agile teams collaborating with cross-functional teams. The final job title (Senior or Staff) will be determined based on the candidate's experience, interview performance, and overall fit for the team. About you [Minimum qualifications] 3-5+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Proactive, good interpersonal and problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Experience in cloud services Good understanding of monitoring and alert system #LI-SW1

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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 team We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities In this role you will interact with many parts of the engineering and research stacks. Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications & Experience We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply. Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and deep learning frameworks Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling Familiarity with ML Accelerators, Kubernetes, and large-scale data processing Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment You'll thrive in this role if you Have significant software engineering experience Are able to balance research goals with practical engineering constraints Are happy to take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term Sample Projects Optimizing the throughput of novel attention mechanisms Proposing Transformer variants, and experimentally comparing their performance Preparing large-scale datasets for model consumption Scaling distributed training jobs to thousands of accelerators Designing fault tolerance strategies for training infrastructure Creating interactive visualizations of model internals, such as attention patterns If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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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The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. 

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Why We Need You: We’re building the future of AI-driven sourcing and talent intelligence—and we’re looking for a hands-on, high-impact Staff Quality Assurance Engineer to lead the charge in leveraging AI technologies for development and testing. This individual will bring deep expertise in applying AI and QA processes and will help Findem modernize our testing capabilities. Specifically, by incorporating AI, this role would enable us to scale QA to support more projects and ensure thorough coverage across both existing products and our rapidly expanding portfolio of AI-driven features.

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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?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new techniques to accurately measure our models' performance on frontier capabilities. In this role, you are responsible for creating next-generation evaluation methods and scalable infrastructure to measure LLM progress.As a Senior Research Engineer, Model Evaluation, you will:Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilitiesConduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges; improving evaluation efficiency; and scalably building high-quality datasetsBuild scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEOLearn from and work with the best researchers and engineers in the fieldYou may be a good fit if:You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.)You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performanceYou have strong software engineering skillsIf 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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We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.Who You Are:You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.What Sets You Apart:You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.Your Responsibilities:Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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Ryz Labs is seeking Blender - AI Trainer who are eager to collaborate with leading AI labs to push the boundaries of frontier AI models. You will work to train and evaluate these models to understand, replicate, and enhance the workflows developers use on these platforms. Qualifications: - Have 2+ years of experience in working with Blender.- Possess deep expertise using and understanding Blender as a tool.- Demonstrate strong attention to detail.- Have excellent verbal and written communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.