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Location: Barcelona Workplace: OnSite About Us: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi. About the Role: We’re looking for a true startup Operations person. Good onboarding is what makes our merchants set up for success. From the first meeting, the go-live to working and growing together - this person will own the onboarding process and make it all happen. This role is for someone who likes working with the product, becoming an expert in it and teaching others. Your day-to-day will be a mix of hands-on ops, project management, customer communication and problem solving. We are reshaping the future of hospitality tech, and this role is at the forefront of it. What You’ll Do: Our Operations happen on a restaurant floor, in a lively neighbourhood, at a busy bar - we operate in the city: - Run restaurant onboarding: train, connect and implement together with the restaurant team - Problem-solve for our merchants on the ground while running live operations - Support restaurants after the go live and make sure that Tebi adds value to their business long-term - Find opportunities for improvement in our process, materials and systems - Continue investing in our relationship with our merchants to make sure they are happy with our product and growing as a business - Identify product and process gaps and bring it to internal central teams such as product, engineering and central operations What You’ll Need: - You are a creative problem solver who enjoys interacting with hospitality businesses - You are empathetic towards our merchants and curious about their business - You can juggle multiple things at once and bring structure - Curious about the product, want to be an expert in Tebi system and can apply your knowledge - Good communication - you are great at proactive contact and managing expectations - Being comfortable with high-pace environments: both the hospitality flow and the startup day-to-day - Interest in data, process improvement and automation - Flexibility in working hours that fit our merchants’ needs and ensuring a healthy balance - At least 2-4 years of experience in hospitality, early startup operations, fast-paced account management or customer operations - You are comfortable working in both English and Spanish If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers https://www.tebi.com/gb/careers. Benefits: - Start-up Equity - Competitive Salary - Flexible Time-off - Team events What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

Location: San Francisco, CA | New York City, NY 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: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: Must have prior experience working with US federal, state, and/or local agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: Security clearance not required, but a plus Must have prior experience working with US federal agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: Washington, DC 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: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: US Secret Clearance preferred for working with defense tech customers Prior work in government, government contracting, or government tech preferred 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, or London (Hybrid) About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that make the new internet payable by giving our users the ability to monetize access to their content, data, services, products, and outcomes across the Internet, regardless of where they are hosted. Building these capabilities requires solving complex engineering problems across high-throughput web infrastructure, low-latency transaction processing, usage metering, outcome verification, digital wallets, and emerging agentic payment protocols (such as x402, WBA, ACP, and UCP). We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the Role We are looking for a Senior Software Engineer to serve as an expert and technical leader on our Agentic Commerce team. In this role, you will define the architecture, build core systems, and establish technical standards powering machine-to-machine payments, metering, and monetization across Cloudflare's network. As a Senior Engineer, your impact extends beyond individual features. You will shape product and engineering roadmaps by partnering directly with customers, product managers, and across Cloudflare teams. You will write architectural specs that guide engineers inside and outside the team, build systems that reduce complexity for others, and lead complex incident responses. You will be a prime reviewer for large systems, define core product KPIs, and mentor engineers across the organization to elevate our collective engineering practice. What You'll Do Design and build resilient, low-latency systems and core architectures that make web resources Payable for autonomous agents using emerging protocols (x402, WBA, ACP, UCP). Write technical specs (RFCs) and architecture designs that encompass deliverables for developers both within the team and across other Cloudflare engineering groups. Meet directly with customers and Product Management to clarify requirements, define actionable KPIs, and translate business needs into scalable architectural solutions. Architect services to reduce code complexity for the team, ensure seamless recovery from internal and external failures, and improve overall system health observability. Lead complex incident responses, retrospectives, and root-cause analyses while driving initiatives that proactively prevent customer escalations and reduce system alerts. Debug and resolve high-complexity issues spanning multiple teams, services, and protocols, using these opportunities to teach others how to handle similar challenges. Actively mentor engineers, improve engineering and interviewing processes, conduct high-impact spec and code reviews, and share knowledge through technical talks and writings. Examples of Desirable Skills, Knowledge, and Experience Deep software engineering and distributed systems expertise with a track record of architecting, building, and operating high-throughput, low-latency production services. Broad experience with HTTP, API design, payment protocols/rails, web security, and cryptographic authorization mechanisms. Demonstrated experience defining product KPIs and translating complex customer and product requirements into clear architectural roadmaps. Proven track record of debugging complex distributed system failures that span multiple teams and systems, with a focus on systemic remediation. Strong history of technical mentorship, leading incident retrospectives, and driving process improvements inside and outside your immediate team. Ability to rapidly prototype, evaluate deep architectural trade-offs, and establish design patterns in an emerging technical domain. Excellent technical writing and communication skills, with experience drafting RFCs and specifications consumed by multiple engineering organizations. Bonus Points Fluency in Rust (especially async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers, Durable Objects, KV) at system-architectural scale. Deep knowledge of emerging agentic payment protocols (x402, A2P, ACP, UCP, Web Bot Auth) or digital wallet architectures. Experience architecting high-precision event metering pipelines, usage-based billing engines, outcome verification systems, or revenue attribution tools. Experience with smart contract bridges, cryptography (public-key encryption, signatures, hashes), or hybrid fiat/crypto payment infrastructure. Active contributions to open-source payment systems, agent protocols, web standards, or distributed systems projects. Experience training interviewers, closing candidates, or guiding company-wide technical standards. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less. We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations. This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows. This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished. Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships. This role reports to the Head of Design. THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY: Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality. Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers. The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first. - Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to. - Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers. - Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation. - Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles. - Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools. - Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it. - Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT WE'RE LOOKING FOR - A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area. - Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire. - Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed. - Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs. - Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why. - Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with. NICE-TO-HAVES - Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage. - Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output. - Experience building developer or designer tools that became part of other teams' daily workflow. - Experience leading a major design-system migration or a company-wide change in how teams build. - Experience evolving a system across platforms, or connecting product and brand experiences. - Founder or early-stage startup experience. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote, Maryland, United States; Remote, Massachusetts, United States, AMER; Remote, New Jersey, United States, AMER; Remote, New York, United States, AMER; Remote, Pennsylvania, United States, AMER; Remote, Virginia, United States, AMER; Remote, Washington DC, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re seeking an experienced Sr. Technical Instructor with a passion for teaching and working with data to join our training team to setup Enterprise customers and partners for success with dbt to empower data developers to create and disseminate organisational knowledge. What You’ll Do Deliver live, world-class instruction to train and onboard dbt - Fivetran customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200) Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future Get learners excited about using dbt - Fivetran to make an impact at their organization Clearly teach and demo new concepts and skills for learners Facilitate live co-development sessions where learners apply what they have learned Adjust instruction on the fly while focusing on learner outcomes Provide critical feedback from your classroom experience to improve curriculum changes Become a product expert with dbt - Fivetran in the context of the modern data stack (if you aren’t already) Jump in on other education projects including curriculum development and improving our workflows Skills We’re Looking For You have 4+ years of experience teaching with some data analytics experience OR 4+ years of data analytics experience with some teaching You have experience writing SQL in an analytics context You love teaching and creating those lightbulb moments for learners You create learning environments with high levels of engagement You are laser-focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets You believe teaching is a craft that we can always get better at and actively seek out feedback You communicate clearly and concisely with internal and external stakeholders You thrive in an environment of cross-collaboration that moves quickly Bonus Skills​ You have worked on customer education/training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt - Fivetran. You have experience writing analytics code (i.e., Python, R, etc.) in addition to SQL and working with databases You have experience designing curricula with a focus on backwards design. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $112,842 — $135,416 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA | New York City, NY 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 Anthropic's Beneficial Deployments team brings Claude to organizations doing some of the world's most important work across the nonprofit and education sectors. These organizations share a problem: mission-critical work, thin budgets, and little slack to figure out new technology on their own. Our Customer Success team helps them go from first login to Claude being part of how their teams work, but we cannot do that one organization at a time, nor should we. The sector already has trusted intermediaries these organizations turn to first: networks, capacity builders, funder technical assistance providers, community colleges, and fellowship programs. This role exists to make those intermediaries as effective at activating and training organizations on Claude as our own Customer Success team is. As the Scaled Enablement Lead, you'll build the Claude for Nonprofits train-the-trainer program that qualifies intermediaries to onboard organizations and deliver Anthropic-designed workshops on our behalf. You'll own the kits, credentials, and quality gates that let them run the show without an Anthropic CSM in the room. You'll also own the enablement thinking behind scaling impact through Claude Corps : how what fellows learn and build serves every organization we support, not only the ones that host them. The people you enable are not selling Claude. They are trainers, implementers, and program staff whose job is to help mission-driven organizations meaningfully adopt AI. Your job is to make sure these intermediaries can do that with Claude, to the same bar we hold ourselves to, and to help them evolve their offerings as we learn what these organizations need. The measure of success for this role is organizations activated and trained well without Anthropic delivering it. You'll be half program builder, half facilitator. You'll design and deliver the first cohorts yourself, then make the system repeatable: kits, qualification paths, credentials, teach-back gates, and a refresh rhythm that keeps content current as our products change. You'll build on the operating model and certification infrastructure of Anthropic's Education team and own everything specific to this audience, working closely with Beneficial Deployments Customer Success, Partnerships, Claude Corps program leadership, and our Education teams. This is not a partner account management or alliances role, and it carries no quota. It is not a book-of-business Customer Success role either, though you'll spend time with organizations to stay grounded in what these nonprofits truly need. The role reports to the Customer Success Lead for Beneficial Deployments, has no direct reports today, and may grow into people management as the program scales. Expect periodic travel for in-person cohorts and sessions. Key responsibilities: Own the Claude for Nonprofits train-the-trainer program end to end: its tracks, the qualification path for each, the credential, and recertification Build the kits intermediaries teach from: an activation playbook covering kickoff, admin setup, launch, and Day 30/60/90 reviews, and workshop-in-a-box modules starting with AI fluency and use case discovery, each with a deck, facilitator guide, demo scripts, sample data, and workbook Recruit and qualify a pilot cohort of anchor intermediaries, then open a repeatable application process that routes each to the right track and the right home, whether the Claude Partner Network or a Beneficial Deployments credential Design and deliver enablement for network intermediaries, adapting the program to how each reaches and supports its members, and help them evolve their offerings as we learn what organizations need Build the connective tissue among intermediaries so they learn from each other: shared office hours, a facilitator cohort that stays together after qualification, and a clear path for bringing new intermediaries along Support the enablement thinking for Claude Corps: how we extend the reach of fellows and the organizations around the program, and how what they learn feeds back into the enablement every customer receives Hold the quality bar when Anthropic is not in the room through teach-back gates, graded mock sessions, shadowing, and session satisfaction and activation quality at or above Anthropic-led benchmarks Run the program as one system: content intake and refresh calendar, production standards, resource hub organization, learning management system courses and assessments, and the agreement and attribution model for intermediaries acting on Anthropic's behalf Own the program's numbers, including approved trainers, collaborator-led activations and workshops, the Anthropic effort required per organization activated, and quality against benchmark, and use them to decide where the effort goes next Be the field voice for intermediaries inside Anthropic, bringing what they learn back into our enablement content, product feedback, and engagement model Minimum qualifications: 7+ years of experience in enablement, training, or program management Train-the-trainer at scale. You have built and run a program that qualified other people to deliver your training consistently without you in the room: a certified facilitator network, a partner or community education program, or an instructor credential. Learning design and delivery. You have designed adult learning experiences end to end, including curriculum, facilitator guides, and assessments, and delivered them live Nonprofit ecosystem fluency. You have worked with or inside the intermediaries that reach mission-driven organizations (networks, capacity builders, funders, technical assistance providers) and understand how they influence adoption Hands-on proficiency with AI tools. You use Claude and/or other AI tools in your day to day and understand their impact firsthand Preferred qualifications: Comfort being the single owner of a program while depending on teams you do not manage Ownership of, or close partnership with, a certification or badging program, including assessment design and recertification Experience with Skilljar or another learning management system, and with partner portals or resource hubs Facilitation of change management or AI fluency programs for non-technical teams Time at a capacity-building organization, an intermediary, or an edtech or technology company serving the sector Experience leading work through contractors or vendors while keeping several programs coherent The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and build a structured onboarding program for new Account Executives and Sales Engineers, with role-specific tracks - Deliver onboarding live and asynchronously: cohort sessions, workshops, certifications, and role-plays - Introduce what AI Fluency means at Sierra and how to incorporate it into daily sales activities (account research, call prep, call recaps, pipeline updates, etc.) - Make sure every seller can explain, demo and stand behind how Sierra uses AI, so they can speak credibly with customers who are learning to deploy AI themselves - Establish baseline ramp metrics (time to first meeting, first deal, quota attainment, SE readiness) and set targets for reducing them - Use AI tools to scale enablement itself: faster content creation, AI-driven role-play and call coaching, and self-serve answers to seller questions - Partner with Product, Marketing, Sales Leadership, and Sales Engineering to keep content accurate as the product and market change - Recruit subject-matter experts, including top sellers and SEs, to teach and coach in the program - Gather feedback from new hires and managers, and iterate on the program quarterly - Build the global program so it can be adapted for regional teams, including our London office WHAT YOU’LL BRING - 6+ years in sales enablement at a high-growth B2B software company, with hands-on onboarding or training experience and experience managing cross-functional programs - Experience designing and delivering onboarding for both quota-carrying sellers and technical sellers - Track record of prioritizing competing requests from senior stakeholders and saying no with data - Track record of tying enablement work to business outcomes, not just completion rates - Strong facilitator, comfortable teaching experienced sellers and executives - Willing to do the hands-on work in the early months, not just manage it, and comfortable building from scratch with limited process and few resources - Able to learn a technical product ([AI agents / enterprise software]) well enough to teach it credibly - Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work EVEN BETTER… - Experience running sales kickoff or product launch enablement - Experience selling or supporting sales in AI, SaaS, or enterprise software - Familiarity with enablement platforms (e.g., [Highspot, Seismic, Salesforce, Gong]) - Experience running onboarding through rapid headcount growth, or handing a program to a successor OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Des Moines, Iowa, United States About the Role iCapital is looking to hire an Associate Product Trainer to support product adoption and utilization through comprehensive education for customers, partners, and employees. This role collaborates with Sales Leadership, Product Management, Product Marketing, and technical subject matter experts to ensure training effectively demonstrates how software features and functionality address business needs. The team's goals are to drive product utilization by educating the audience on iCapital’s software features and functionality, with an emphasis on how products can solve business needs. Responsibilities Coordinate and deliver structured, high-quality instructor-led onsite and virtual training sessions for customers, partners, and employees. Develop, update, and maintain job and product-specific training modules, programs, courses, certification materials, and curricula aligned with audience needs, business priorities, product lines, and current management strategies. Design, develop, and record product education content, including video and technical training materials, while maintaining training content within the Learning Management System (LMS). Communicate product functionality and translate complex technical concepts into clear, understandable terms, adapting technical information and training materials to support sales efforts and varying end-user needs. Partner with the Sales and Product Management teams to identify ongoing training needs, coordinate training schedules, and develop and deliver regularly scheduled training sessions. Monitor and document participant progress, skill levels, and competencies through observation and assessments while identifying opportunities to improve training programs and workforce processes. Establish evaluation methods and defined Key Performance Indicators (KPIs) to measure training effectiveness, product utilization, and end-user satisfaction following education and training. Serve as a central point of contact for training needs and identify opportunities to enhance training programs and processes. Support sales and marketing initiatives through travel, with the possibility of traveling up to 10% of the time. Qualifications 3+ years of corporate adult training experience, including proprietary software application training, instructional design for software applications, technical training, and adult learning theories and practices Experience working in the annuities or life insurance industry Strong verbal and written communication, training, presentation, and professional public-speaking skills, with experience delivering onsite and web-based training in ILT and vILT environments to individuals and groups with varying computer skills and educational levels Strong computer and software skills, including experience with virtual training and collaboration tools and LMS administration and maintenance Strong analytical and problem-solving skills, with the ability to quickly understand requirements, identify issues during software training, and develop timely solutions through education and training materials Strong work ethic and commitment to quality, with a disciplined, organized, and methodical approach to projects and tasks and strong attention to detail Able to work independently or collaboratively within a team environment Able to teach targeted skills and a strong commitment and drive to support participant success Willingness and ability to travel for business purposes up to 10%. Benefits The base salary range for this role is $75,000 to $90,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. This position can be based in either the greater Des Moines, IA, area or the greater Salt Lake City, UT, area. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Berlin, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German, English, and French. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German, English, and French. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in Germany 🏠. Working remotely from outside Germany is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services Offer ! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of 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. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly. Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk. This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads. Responsibilities As the head of the Data Foundation pillar, you will: - Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you. - Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them. - Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform. - Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline. - Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur. - Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself. - Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work. - Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests. QUALIFICATIONS You may be a good fit, if you have: - 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams - Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters - Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar) - Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong - A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match - Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach - Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows - Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on - Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Mapbox Minsk Workplace: OnSite Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT YOU'LL DO -  You will review a large amount of traffic data (road incidents: constructions, closures, etc.), feedback from customers to improve their experience; - You will do a root-cause analysis using various data sources and tools to understand the customers’ issues; - You will make high quality edits on OSM and other internal data sources based on guidelines - You will provide investigations and analysis, find patterns and write reports; - You will tightly interact with teammates, managers and engineers to improve current tools, workflows, products and services. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  Strong analytical skills and attention to detail. Ability to work with large volumes of traffic data, identify patterns, and perform root-cause analysis - Quick learner: able to grasp new tools, workflows, and guidelines efficiently - English level: B1 (intermediate), both written and spoken — sufficient for daily communication, reading guidelines, and writing reports. - Willingness to work a 2/2 shift schedule from the office is required (2 days on, 2 days off), with day shift from 8:00am to 8:00pm and night shift from 8:00pm to 8:00am. - Basic knowledge of traffic regulations is required Would be a plus: - Background in GIS, cartography; familiarity with OSM or similar mapping tools - Practical use of AI tools for data retrieval, automation, or workflow optimization - Solid knowledge of SQL, Python, JS, or low-code platforms for analysis and automation - Comfortable working with Jira and Confluence WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. As a Game Designer , you will design, tweak, and optimize the player experience. Your analytical skills, player insight, and creativity help craft in- and out-of-game experiences that engage and surprise players. You will collaborate with interdisciplinary teams and work with every tool at hand to create and iterate player-focused designs that will delight millions around the world. As a Senior Game Designer on the Unpublished R&D Product team, you will design and refine engaging player experiences through thoughtful game design and creative problem-solving. You will translate high-level creative goals into actionable design solutions, working closely with cross-functional teams to develop, prototype, and iterate on high-quality game content. You will apply your design expertise, player insights, and collaborative mindset to help establish best practices and deliver cohesive player experiences. You will report into the Game Director of the team. Responsibilities: Design, prototype, and iterate on engaging game content and player experiences, ensuring a high standard of quality, clarity, and player engagement. Translate creative direction and player experience goals into effective, actionable game design solutions. Develop and refine content structures and design approaches that support engaging and cohesive player experiences. Evaluate and validate design solutions through prototyping, playtesting, and feedback, making improvements based on findings. Create clear design documentation that can be evaluated and implemented by cross-functional partners. Establish design principles, best practices, and workflows to support consistent quality and efficient development. Collaborate with game design and other disciplines to align on design goals, address challenges, and continuously improve the player experience. Required Qualifications: 8+ years of professional experience in game design, narrative design, or a related discipline. Strong understanding of game design principles, including content structure, pacing, player motivation, and player experience. Demonstrated ability to translate high-level creative goals into engaging and cohesive interactive experiences. Hands-on experience with game development tools, editors, scripting systems, or equivalent content creation workflows. Strong game design judgment, with the ability to identify design challenges, evaluate solutions, communicate trade-offs, and iterate based on feedback. Experience collaborating with cross-disciplinary teams across multiple stages of game development. Experience delivering and iterating on game content across development cycles with evolving requirements and priorities. Fluency in Mandarin Chinese. Desired Qualifications: Experience owning or leading game design, narrative design, or related design initiatives. Experience in related game design disciplines and a strong understanding of how different design elements contribute to the overall player experience. Experience developing scalable content creation approaches and maintaining quality within production constraints. Experience working on early-stage game development projects, with a demonstrated ability to navigate ambiguity, iterate effectively, and maintain high-quality standards. Fluency in written and spoken English. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Location: San Francisco, CA | Seattle, WA 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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: San Francisco, CA | Seattle, WA 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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain. Responsibilities Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra Drive down the time it takes finance to support a new product, program or compute buildout Minimum qualifications Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production Have sound judgment on platform boundaries, data contracts and API design Have hired and grown engineers, and set engineering standards for platforms Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room Preferred qualifications Have 3+ years of engineering management experience, with 8+ years total in the industry Built developer platforms or paved paths used by other builders Worked with Go and with streaming systems such as Pub/Sub or Kafka Built with LLMs and agents, including MCP Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails Worked with ERP or financial systems, such as Workday Financials or Oracle Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: Remote ABOUT THE OPPORTUNITY LILT is building speech and language datasets for AI in five languages: Balochi, Guarani, Luxembourgish, Turkmen and Uyghur. We are looking for Community Leads who are active in these language communities to help connect speakers with paid recording and transcription work. A Community Lead is someone the community already knows and trusts. You might run a cultural society or academy, teach the language, edit a publication, host a radio show, or manage an online group. WHAT YOU'LL DO - Share LILT opportunities with speakers in your community - Refer speakers through the Community Lead referral form - Be our point of contact for questions from your community - Take on paid recording or transcription work yourself, if you want to (optional) HOW YOU EARN - A referral bonus for each speaker you refer who completes approved work - A growth bonus once 10 of your referrals are active - Full payment details are in the Community Lead agreement you receive once approved WHO WE'RE LOOKING FOR - Fluent speaker of Balochi, Guarani, Luxembourgish, Turkmen or Uyghur - A recognized role in your language community, such as society or academy head, teacher, editor, radio host or group admin - Good working English to communicate with our team - Comfortable sharing posts and answering questions from people in your community HOW IT WORKS Community Lead is by invitation. After you apply: 1 - We review your application 2 - You have a short call with our Talent team, including a check of your role or organization 3 - You sign the Community Lead agreement 4 - You start referring speakers through the Community Lead form WHAT TO CONSIDER BEFORE APPLYING - This is an independent contractor role paid on results. Payments depend on approved work by the speakers you refer. There are no benefits and earnings are not guaranteed. - Please tell us about your role. If you work for a government or public institution, follow your employer's rules on outside paid work. - Everyone you refer must be 18 or older. - Participation is voluntary. We do not publish a list of Community Leads. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a contractor, you are responsible for your own tax obligations. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Remote, Toronto MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, creative, and entrepreneurial Sr Regional Sales Manager to drive MinIO’s next stage of growth in the Toronto, Canada region. This is a role for a proven seller who can combine technical depth in storage, data infrastructure, data lake/lakehouse, AI/ML, and HPC environments with the ability to close complex $250K+ enterprise deals. The ideal candidate has experience competing against legacy storage solutions, thrives in a startup environment, and brings a mix of creativity, persistence, and technical credibility to win transformative deals. What You Will Do Drive New Business Acquisition : Actively prospect and identify enterprise opportunities, leveraging your network and creative outreach to generate pipeline and close high-value deals Technical & Vision Selling : Confidently articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, and HPC not just incremental improvements. Translate technical capabilities into compelling business value. Close Complex Deals : Own the full sales cycle from lead to close, with a focus on $250K+ opportunities and annual quota attainment of $1.5M+ Compete & Win Against Legacy Software : Position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage for modern workloads. Educate & Influence : Teach prospects about AI infrastructure optimization and data architecture modernization, leading them beyond product comparisons to strategic transformation. Quantify Value : Build business cases and ROI models that include quantified benefits, risk mitigation, and financial justification. Partner-First Territory Strategy : Build and execute partner-led co-selling strategies, working with channel and alliance partners to expand territory coverage and accelerate deals. Cross-Functional Collaboration : Partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions, ensure successful POCs, and create a seamless customer experience. Forecasting & Planning : Maintain disciplined pipeline management, accurate forecasting, and clear account strategies that support predictable and scalable revenue growth. Your Skills and Experience Enterprise Sales Expertise : 7+ years of enterprise sales experience with consistent quota attainment ($1.5M+) and average deal sizes of $250K+. Technical Acumen : Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. Able to engage technical stakeholders and translate technical concepts into business impact. Partner-Led Approach : History of building co-selling strategies with channel and alliance partners to scale market presence. Vision & Thought Leadership : Skilled at leading transformation sales by shaping buyer thinking and providing unique customer insights. Competitive Selling : Proven ability to sell against legacy storage solutions and displace entrenched vendors with a differentiated value proposition. Startup Experience : Demonstrated success in fast-paced, entrepreneurial environments where creativity and adaptability are essential. Challenger Mindset : Skilled at teaching, tailoring, and challenging customer perspectives to unlock new opportunities. Network & Territory Expertise : Deep relationships within the territory, including decision makers and influencers who can be leveraged to accelerate business. Communication & Influence : Exceptional presentation, negotiation, and relationship-building skills with both technical and executive stakeholders. Education : BA/BS in computer science, engineering, business, or related field; MBA preferred. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: San Francisco, California Workplace: Remote ABOUT THE ROLE Developers have a lot on their plates right now. Most are shipping faster than they were a few years ago and learning AI tools on top of their regular work, while nearly every developer tool company is trying to get a bit of their time. On top of that, many developers have never heard that the problem Temporal solves can be solved at all. Your role is to build and lead our Developer Advocacy team in North America, focused on how developers first learn about Temporal and inspire them to take their first steps. Part of that is figuring out which videos engineers actually finish watching, what gets someone to a meetup after a long day, and which open source communities and partners we should be working with. You will manage a team of senior advocates and still do plenty of the work yourself, whether that’s giving a talk, writing code, or showing up at a meetup. You will have a real voice in which events, communities, and programs the team focuses on, and a direct line to Product and Engineering when developers tell you something isn’t working. Our preference is for a candidate based in the Bay Area, as it remains the central hub of industry activity, and we want our leader actively immersed in that ecosystem to bring back key insights. If working remotely, frequent travel to the Bay Area will be expected. Location: San Francisco Bay Area or US Remote with willingness to frequently travel to the Bay Area. WHAT YOU’LL DO - Manage, coach, and develop a team of Developer Advocates, setting explicit goals and expectations and giving honest feedback. - Co-develop talks, review demos, pair on content, and help each advocate find their stage and voice. - Build the team’s operating cadence (planning, event coverage, content pipelines, quality bar) so the work is focused rather than reactive. - Set the strategy for how Temporal earns awareness and consideration among developers in North America. Favor other people’s channels (community meetups, partner events, conferences, OSS projects) over our own. - Grow Temporal’s online developer audience by investing in content people actually watch and share, and by making the call on which formats and channels deserve the team’s time. - Build a plan for Temporal’s in-person presence across North America that maintains a balance of our own events with partnerships, so we show up consistently in the communities that matter most to our growth. - Develop and deliver use-case narratives, demos, and practical experiences that show the practical capabilities of durable execution. Determine clear success metrics for each program, including attendee engagement rates, knowledge retention outcomes, and measurable increases in developers’ adoption and usage. - Know which tools, frameworks, and communities developers are pairing with Temporal, and figure out which partnerships would get us in front of developers we’re not reaching yet. - Build relationships with partner DevRel teams and community leaders, and co-create programs, content, and events that reach developers we couldn’t reach alone. - Partner closely with Product, Engineering, Marketing, and Sales to align messaging, campaigns, and technical narratives aligned with company priorities. - Define and report on metrics that tie advocacy to adoption and product impact, not just activity. WHAT YOU BRING - You’ve been a working software engineer and owned production systems, including being on call when they broke. - Senior-level developer advocacy experience, as a Principal or Senior Staff IC or as a manager, with real credibility in technical communities. - People management experience, or principal-level leadership (mentoring advocates or engineers, leading programs across a team) and a clear desire to make management your path. - You’ve made technical content people actually watch or read, whether that’s a YouTube channel, a popular talk, or a blog developers share. - A gift for teaching: you are able to make complex distributed systems concepts click on stage, in a workshop, or one-on-one. - You’ve built programs that needed buy-in from teams you didn’t manage, and you know how to get it. - Willingness to travel ~30–40% to support events, community, and team activities; Bay Area presence is a strong plus. NICE TO HAVE - You’ve been active in open source, whether as a maintainer, regular contributor, or someone who helped run the community. - You’ve worked on distributed systems or workflow orchestration. Experience with Temporal is a big plus. - You’ve built workshops or training programs for developers, or run a large event calendar. - You’ve worked with Product Marketing to shape how a technical product is positioned and talked about. - Deep, active connections in the Bay Area developer community, and an intuitive understanding of the wider developer ecosystem and how its platforms and communities fit together. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.