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Location: Seoul, South Korea 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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: Sydney, Australia 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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: Budapest, Hungary Workplace: remote We're Novakid, the next-generation early English learning environment that allows kids around the world to learn English efficiently, through play and fully remote practice with certified professional  teachers. Think cutting edge technology like AI-powered games and training apps that promote English speaking and comprehension based on the use of authentic content in English language. Think certified professionals with years and decades of expertise in children's psychology and learning methods. “Our Vision is to change the way ESL children learn English by making it more engaging, elective, fun, and accessible. The ability to master the English language from an early age is critical to achieving a path of greater success and fulfillment, socially, emotionally, academically and professionally.” – Max Azarov, Founder About the Role Novakid is investing heavily in its brand, and we want films that move people. We’re looking for an AI Film Director to create brand films with a movie-level finish, using the latest generative AI tools. You’ll take each film from brief to final master: from taking the brief to storyboard, AI generation, edit, colour and finishing. You’ll work with our sound engineer on music and sound. Our video production team covers Novakid’s day-to-day content; your focus is our hero brand films, made for families around the globe (motion graphics and 3D/compositing chops are a real plus). This is a full-time, hands-on role in the Creative team, reporting to our Head of Creative. Key Responsibilities Direct and deliver cinematic brand films from brief to final master Turn briefs from the Head of Creative and Brand Director into emotional, story-driven concepts that stay true to Novakid’s brand voice and visual identity Create and own Novakid’s AI film style guide (characters, worlds, look and feel) so characters and style stay consistent from film to film Refine AI output by hand (retouching, compositing, redrawing, colour grading) until every frame has a movie-level finish Work with our sound engineer on music, sound design and voice-over, including localized versions for our key markets Plan each film’s schedule and budget (tools, generation credits, freelancers when needed) and deliver on time Keep up with AI film tools and bring in new techniques that raise quality or speed Follow responsible AI practices with our Legal team: clear AI labelling, consent for any real person’s likeness or voice, and commercial rights to everything we publish Strong design background alongside video production and AI prompting skills. Can build automated content-production workflows using AI agents, APIs or workflow tools. Own the voice acting and dubbing pipeline: work with an external casting/dubbing agency, or with per-language actor leads who source and manage further talent for their own language, to cast, record and quality-check localized voice content, attending recordings yourself to protect creative and brand quality Explore where AI voice generation fits for the existing video editors on lower-complexity projects, and build a lightweight workflow so they can use it without pulling in the full unit Integrate the AI Video Production Unit into the wider creative organization, with clean handoffs to the video editors team and the Lead Producer so both tracks reinforce each other instead of duplicating work What you’ll have… A portfolio of complete AI films, not just a showreel, with consistent characters and coherent storytelling Proven experience directing cinematic, emotionally resonant brand or narrative films, combining traditional film craft with current, hands-on AI video experience (image-to-video, AI-assisted VFX) Strong visual fundamentals: composition, colour, lighting and storytelling, with a design background and the eye to judge and fix AI output Editing and finishing skills: Premiere Pro or DaVinci Resolve (including colour grading), plus Photoshop, Illustrator and After Effects for fixes and compositing Motion graphics and 3D/compositing skills (e.g. Cinema 4D, Maya, Nuke, After Effects) are a strong plus Experience leading a small technical-creative team (e.g. prompt engineers, a cinematography lead, or similar hybrid creative/technical roles) Familiarity with voice acting and dubbing production, whether managing an external casting agency or per-language talent leads Able to deliver a film a month on your own: organised, reliable on deadlines, and comfortable setting up a process from scratch, since this is a new discipline at Novakid Collaborative: you’ll work closely with Brand, our sound engineer and the video production team Comfortable defining process as you go, this is a new production discipline at Novakid, not an established playbook English fluency; other languages are a real plus given the multi-market, multi-language scope of this role What Success Looks Like (first 6 months) First 3 months Your workflow from brief to final master is set up and documented Version 1 of Novakid’s AI film style guide is in place (characters, look, reference library) 2–3 brand films delivered and approved by the Head of Creative and Brand Director First 6 months Minimum of one film every month, each with a movie-level finish (5–6 films delivered in total) Characters and look stay consistent from film to film The Head of Creative and Brand Director trusts that every film meets Novakid’s creative and brand standards without needing heavy oversight. Every film on time and within budget, with what we learn from each film’s performance feeding into the next We Offer Make an impact: Improve the lives of children around the world. Grow with us: Opportunities for professional development and career advancement. Thrive in a collaborative culture: Join a diverse and supportive team that values creativity and innovation. Flexible work environment: Enjoy the freedom to work remotely.

Location: Office Based - London, UK This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions. Location: Office Based in London, England. The role entails Empathetic Engagement: Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks. Collaborative Problem Solving: Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction. True Ownership: Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably. Ubuntu Lifecycle Guidance: Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes. Knowledge Advocacy: Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community. Operational Reliability: Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners. What are we looking for in you Communication Excellence: Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly. The Soft-Skill Edge: A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy. Academic Dedication: Exceptional academic track record from both high school and university. Educational Background: An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. On-Site Technical Leadership: Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees. Driven Mindset: A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers. Linux & Cloud Familiarity: Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following: Virtualization & Cloud: Using KVM or OpenStack. Containers: primarily Docker, LXD/LXC, or Kubernetes. Storage Ecosystems: Block, object, and network storage technologies. System Networking: Navigating bonding, firewalls, bridging, switching, or MTU tuning. Analytical Curiosity: A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps. Development Fundamentals: Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Office Based - London, UK Accelerate your technical career by joining Canonical in a high-impact, multi-disciplinary role.. You'll be working from our London office, which hosts our events, customer demos and visitors, in an event space with professional live video, audio and streaming equipment. You'll wear three hats: Linux and cloud support engineer, owner of the office's technical infrastructure, and one of the people running the live production at our events. You'll own your cases from first contact to resolution, bringing in colleagues or senior engineers when needed, and you'll keep the technology running when it matters most, with people watching. While professional broadcast or AV experience is not required, a strong technical curiosity for audio/video systems and the composure to manage live, high-stakes environments are a must. Location: Office Based in London, England. The role entails Office technology: Own the technical state of the London office (network, devices, meeting spaces, AV), including onboarding new colleagues, and know how it all fits together. Live events: Run the technology for events and customer demos, from set-up and live operation through to tear-down, and coordinate external crew for larger events. Customer support: Own your cases end to end, working with customers by ticket, remote session and live conversation, and with engineering teams to turn code fixes into customer outcomes. Set clear expectations and keep your commitments. Ubuntu lifecycle: Understand the Ubuntu development process well enough to give customers realistic timelines for fixes. Knowledge: Write and maintain knowledge base articles so lessons learned are shared. What are we looking for in you Exceptional written and spoken English, and the ability to explain technical complexity clearly and warmly An exceptional academic record at high school and university, with an undergraduate degree in a technical subject or a compelling narrative about your alternative path A builder's streak: something you've set up or run for other people on a deadline, such as a home lab, hackspace, student tech crew, live sound, streaming, or school or club IT AV curiosity: real interest in audio, video and live production, or a clear appetite to learn it Composure and care: you like helping people and stay calm when a high-stakes moment, including a live event, gets tense A track record of going above and beyond for teams or customers Hands-on experience supporting Linux systems, plus any of: virtualization or cloud (KVM, OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage (block, object, network), or networking (bonding, firewalls, bridging, switching, MTU tuning) A troubleshooting mindset (logs, stack traces, OS and application-level causes) and programming fundamentals in any language What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom Workplace: fully About Replika In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone. Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for. When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives. Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it. We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself. Everyone else is building AI that thinks. We're building AI that cares. Frontend Engineer, Web Funnels About this role Most people who subscribe to Replika on the web come through a funnel: an ad, a landing page, a quiz, a paywall. Every step is a test we could be running. We need a frontend engineer who can ship those funnels fast and well, so we learn what converts week after week. This is a hands-on build role. You'll take funnel ideas and test hypotheses from our growth team and turn them into production pages in days, not sprints. You'll work with our growth lead, who runs paid acquisition and monetization, alongside our web engineer, and you'll have a say in what we test, not just how it's built. We build our funnels ourselves, because the quality bar is high. Speed matters, and so does the feel. For a lot of people, these pages are the first time they meet Replika. 3-month contract position, with the opportunity to extend or convert to permanent. What You’ll Be Doing Build and ship web funnels end to end: landing pages, onboarding quizzes, paywalls, checkout and upsell flows. Ship A/B tests fast. Take a hypothesis, build the variants, launch, read the result, and move to the next one. Wire up analytics and attribution properly, from events to pixels to server-side tracking, so every test can be read and every buyer is counted. Integrate payments and subscriptions with our billing providers, including offers and coupons. Keep funnels fast, mobile-first and reliable across browsers and countries. Bring ideas. You see the pages and the numbers every day, so suggest what to test next, not just how to build it. What We’re Looking For 2–5 years of professional frontend engineering experience. Strong commercial frontend experience with React and Next.js, and production work to show for it. You've built conversion funnels, landing pages or checkout flows for a consumer subscription product, and you can talk about what moved conversion. Rock-solid web fundamentals: HTML, CSS, JavaScript, TypeScript. Responsive, mobile-first, pixel-tight. Experience with experimentation and analytics: A/B testing, Amplitude or GA4, Meta and Google pixels and conversion APIs. Fast without being sloppy. You ship in days, and the page still works on every phone. You use AI development tools (Codex, Claude, Cursor) seriously, and have a view on where they help and where they don't. You shape what we test and build it yourself. Fluent English. Bonus Points Payments and subscriptions experience: Stripe, Chargebee, PayPal or similar. Web-to-app funnels: deep links and handing a buyer over to the app. Hands-on backend chops: Node.js, APIs, edge functions. You've used funnel builders and know when a custom build beats them. What You’ll Get Unlimited access to the latest AI coding assistants. Flexible job schedule and generous vacation policy. Direct impact on millions of worldwide users within months. Push the boundaries of applied AI in a consumer setting. Fully remote, able to work CET hours.

Location: Australia Workplace: Remote At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Retail Account Manager, Australia & New Zealand to own and grow our retail partnerships across the region. This is a highly cross-functional role that combines commercial account management with hands-on trade marketing execution. You will be responsible for driving the performance of our retail partners—from managing forecasts, purchase orders, inventory, and account plans to developing and executing programs that increase awareness, engagement, and sell-through. You’ll serve as the primary point of contact for key retail partners while collaborating closely with Sales, Marketing, Operations, Finance, and other global teams to grow the WHOOP membership base and strengthen our retail presence across Australia and New Zealand. RESPONSIBILITIES: - Own and grow key retail partnerships across Australia and New Zealand, managing day-to-day relationships, commercial performance, forecasts, purchase orders, inventory, assortment, sales reporting, and ongoing account needs. - Develop account strategies and joint business plans that support sales targets and broader company objectives, using sales performance, market trends, competitor activity, and customer insights to identify risks and growth opportunities. - Lead regular retailer business reviews and ongoing account touchpoints, partnering with retailers to evaluate performance and execute against opportunities across assortment, merchandising, marketing, training, and sell-through. - Develop and execute retailer marketing plans and omni-channel activations in partnership with internal Marketing teams, including point-of-sale materials, in-store displays, digital assets, promotional programs, and retail associate training. - Serve as the regional voice of our retail partners internally, collaborating across Marketing, Operations, Finance, Apparel & Accessories, Legal, and other teams to resolve issues, support launches, and deliver an exceptional WHOOP brand experience. - Support the continued expansion of the WHOOP retail footprint across Australia and New Zealand by assessing market opportunities, identifying prospective partners, supporting commercial discussions and onboarding, and maintaining visibility into the regional retailer pipeline. QUALIFICATIONS: - 5+ years of experience in account management, sales, trade marketing, or a related commercial role, ideally within consumer electronics, sporting goods, health and wellness, or another relevant consumer category. - Demonstrated experience managing retail or wholesale accounts, with an understanding of the commercial fundamentals that drive successful partnerships, including forecasting, inventory, purchase orders, assortment, and sell-through. - Experience developing and executing retail marketing programs, including in-store and digital activations, merchandising, promotional campaigns, and/or retail associate training. - Strong commercial and analytical mindset with the ability to translate sales, account, and market data into clear priorities and actionable growth opportunities. - Excellent relationship-building, communication, and negotiation skills, with the ability to work effectively with external retail partners and cross-functional internal teams. - Self-starter who is comfortable operating independently, balancing strategic planning with hands-on execution, and managing multiple priorities in a fast-paced, evolving environment. - Passion for fitness, health, and technology, with willingness to travel throughout Australia and New Zealand and internationally as needed. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is 188,955 AUS - 247,095 AUS. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. Build what’s next in Web3. Grow into a leader. About the Programme The Trust Wallet Graduate Leadership Programme is a selective, 12-month fast track for ambitious early-career talent who want to shape the future of Web3 and grow into its next generation of leaders. At Trust Wallet, you won’t spend your first year watching from the sidelines. You’ll take ownership of meaningful projects from day one, work on products used by millions globally, and collaborate with exceptional talent across a fast-moving, global Web3 business. Starting in one of our core functional teams, you’ll build deep expertise, gain cross-functional experience, and turn bold ideas into solutions that create real value for users and the business. With mentorship from senior leaders and opportunities to take on increasing responsibility, you’ll develop the judgement, commercial mindset and execution skills to make an impact. How the Programme Works - Build from day one: Start in a core functional team — Product, Marketing, Business Development or Operations — and take ownership of real projects with clear objectives and measurable outcomes. - Think beyond your role: Work across functions, learn from experienced leaders, and turn insights into ideas that improve the user experience, unlock business opportunities or create new ways of working. The strongest ideas can progress into real initiatives, products or launches. - Grow into your next role: Develop through structured mentorship, hands-on experience and increasing responsibility. High-performing participants will have the opportunity to transition into a permanent role at the end of the 12-month programme, aligned with their strengths and business needs. Across the programme, you’ll gain exposure to three key areas: - Product & User Experience: Understand user needs, explore market opportunities, analyse data and help shape and deliver product improvements that make self-custody more accessible, intuitive and useful. - Growth & Ecosystem: Contribute to go-to-market strategies, growth experiments, community initiatives and partnerships across wallets, dApps, blockchains, stablecoins and emerging payment networks. - Business Strategy & Operations: Solve cross-functional business challenges, improve processes, evaluate new opportunities and translate data and insights into practical decisions that drive business performance. What We’re Looking For - Strong academic foundation: A bachelor’s degree in any discipline from a top, renowned university, or equivalent evidence of exceptional ability and achievement. - Early-career talent: 0–2 years of professional work experience or relevant extracurricular experience, including student leadership, entrepreneurship, personal projects or community initiatives. - Exceptional problem-solving: You can break down complex, ambiguous problems, challenge assumptions and develop clear, logical recommendations. - A builder’s mindset: You turn ideas into action, take ownership of outcomes and focus on what creates tangible value for users and the business. - Clear communication: You can articulate complex ideas simply, influence through sound reasoning and collaborate effectively across different teams. - AI-native and future-focused: You actively explore AI tools such as Claude, Grok and Cursor, and are curious about AI agents and how they could transform how people work and transact. - Genuine Web3 curiosity: You’ve explored wallets, DEXs, stablecoins or other Web3 applications, and have ideas about what works, what doesn’t and what could be better. - Adaptable and driven: You learn quickly, thrive in ambiguity and are motivated by high standards, rapid execution and meaningful challenges. Nice to Have - Entrepreneurial experience: You’ve founded a venture, built a product or launched a project in AI or crypto — whether or not it succeeded. - Hands-on Web3 involvement: Experience with DeFi, perpetuals, stablecoin payments, hackathons, DAOs or other ecosystem initiatives. - A track record of building: Side projects, product teardowns, research, a newsletter, open-source contributions or an active presence on X or GitHub. What You’ll Get - A launchpad for leadership: A structured 12-month development journey with mentorship from senior leaders and opportunities to grow your scope and responsibility. - Ownership that matters: The chance to work on real challenges and deliver improvements for a global user base of millions. - A front-row seat to the future: Hands-on exposure to self-custody, AI-powered experiences, crypto payments and the evolving Web3 ecosystem. - A steep learning curve: Learn by doing, collaborate across functions and build commercial, strategic and execution capabilities early in your career. - A pathway to grow: High performers can progress into permanent roles where their strengths and ambitions align with Trust Wallet’s evolving needs. Think boldly. Build with purpose. Help shape the future of Web3. ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Technical Project Manager for Network Infrastructure. This is not a "make slides, chase tickets, and ask engineers for status" job. It is a role for someone with an engineering skeleton: a person who has built, operated, broken and recovered things, and can earn trust in a room full of SREs, SWEs, network engineers, security and platform teams. You will work with a high degree of independence, set up the project management practices for your area from scratch, and stay close to the technical details yourself. The "T" matters. You don't need to be the deepest expert in every area, but you should be technical enough to understand real trade-offs: why rollback is not optional, why "just automate it" can create a bigger blast radius, why a provisioning flow must survive real-world constraints, why SLOs without ownership are decoration, and why network device CI/CD is very different from deploying a stateless service. You can read a design doc, challenge missing assumptions, notice unclear failure modes, ask sharp questions, and turn a vague but important problem into an executable plan. The "P" is project delivery with a product mindset, even if the product is internal infrastructure. Your product may be secrets and robot-user management, an SLO framework, a firmware rollout process, a network observability platform, CI/CD for network devices, or automation that makes day-0 and day-N operations safe. The job is not done when the technical pieces exist. It is done when engineers trust the tool, the NOC actually uses the workflow, alerts are actionable, runbooks are real, and the new way becomes the default way. That means adoption, communication, documentation, feedback loops, and sometimes a bit of internal "marketing": the ability to convince smart technical people that the thing is worth using. The "M" is management of execution, not people management. You will not be responsible for engineers' careers, performance reviews or promotions. You will be responsible for making important cross-team initiatives land: defining scope, aligning owners, exposing risks, driving decisions, tracking dependencies, creating clarity where things are unclear, and making sure we ship useful outcomes instead of collecting half-finished initiatives. This is a high-leverage role in an early-stage and fast-scaling network infrastructure organisation. Many important systems are being built now: automation, observability, reliability standards, provisioning flows, operational safety, and cross-site consistency. You won't be maintaining a mature machine from the sidelines. You'll help shape how the machine works. Your responsibilities will include: Own end-to-end delivery of cross-team network infrastructure initiatives, from a vague problem statement to an executable plan to adoption Define scope and success criteria, align owners across SRE, SWE, network, security, platform and data center teams, and drive decisions to closure Review designs and technical proposals, challenge missing assumptions, and surface failure modes, dependencies and risks early Track dependencies and risks across teams and time zones, and keep stakeholders informed with clear, honest status Drive adoption: make sure tools and workflows become the default way of working, with real documentation, runbooks and feedback loops Establish and run lightweight, effective project management practices: planning, prioritization, reviews, and post-launch follow-up Work with regional teams and external partners (vendors, carriers) on the rollout of new network capabilities Turn operational pain and engineering input into a clear, prioritized backlog We expect you to have: 7+ years of experience in technical project management, engineering management or a hands-on engineering role (SRE, SWE, network or infrastructure), with a track record of delivering complex cross-team infrastructure projects A real engineering background: you have built and operated production systems and can earn the trust of deeply technical teams Ability to read design docs and technical proposals, understand trade-offs, and ask sharp questions about reliability, rollback, blast radius and failure modes Strong understanding of infrastructure fundamentals (Linux, networking, automation, CI/CD) at the level needed to hold your own in technical discussions Proven ability to drive decisions and create clarity in ambiguous, fast-changing environments without formal authority Excellent written and verbal communication, including documenting plans and decisions and influencing smart technical people Ability to work independently and to build processes from scratch Professional working proficiency in English (spoken and written) and comfort working across time zones It will be an added bonus if you have: Experience with network infrastructure: network automation, observability, or network device lifecycle management Experience with SLO/SLI frameworks, incident management, or production readiness processes Experience with CI/CD or change management for network or other high-blast-radius infrastructure Experience delivering projects with distributed teams across European, Middle Eastern and African time zones Experience with secrets and access management, firmware rollout or fleet-wide operational initiatives Hands-on engineering contributions (scripts, tooling, automation) alongside project work Examples of initiatives you may own: A user and secrets management system for network infrastructure, including robot-user lifecycle, safe key/password rotation, revocation, break-glass access, mixed agent/push-based device support, and integration with existing secrets backends An SLO framework for network services and components, including SLIs, SLOs, dashboards, alerts, ownership, tiering, and a clear link between reliability targets and engineering investment CI/CD for network devices, where configuration changes, validation, staged rollout, rollback, and blast-radius control become disciplined and repeatable instead of manual and risky Fleet-wide operational initiatives such as firmware consistency, device lifecycle hygiene, observability coverage, monitoring quality, alert ownership, or production readiness for new network capabilities Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Poland Workplace: remote Senior Reconciliation Analyst (Fixed-Term Cover) About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. A Bit About the Team Our Reconciliation team is small but mighty — every analyst is expected to think like an owner, gradually automating routine work while keeping the core process rock-solid. It's a team that values flexibility (fully remote, outcome-focused — we care that the job gets done, not what hours you keep) and gives people real autonomy once the fundamentals are covered. If you enjoy solving problems that sit right at the intersection of data and payments, you'll fit right in here. About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. What You Will Be Doing Own daily reconciliation monitoring — checking that cash held in the bank matches client balances in our systems, and flagging and investigating any breaks or mismatches as they arise Resolve reconciliation breaks end-to-end — determining whether an issue is internal (looping in engineering) or external (liaising directly with banks and third-party payment providers) and driving it to resolution Maintain reporting and month-end close — supporting vendor reporting, regulatory reporting, and other recurring reporting cycles with a high level of accuracy Work across data tools — using Excel alongside data visualization tools (Databricks, Metabase, or similar — Tableau/Power BI experience also welcome) to monitor and track reconciliation data Contribute to automation — gradually helping automate manual reconciliation processes using AI and other tools, reducing reliance on spreadsheets over time Handle occasional manual money transfers — with the accuracy and attention to detail this requires Manage stakeholders across the business — working with engineering, treasury, and external banking partners to keep processes running smoothly Who You Are You have hands-on experience in reconciliation, payment operations, or treasury operations (e.g. as a reconciliation specialist, payment analyst, or accountant with reconciliation exposure) You're comfortable with Excel and have some experience with data visualization/BI tools (Databricks, Metabase, Tableau, Power BI, or similar) You have a working understanding of payment schemes and how money moves between banks and internal systems — you know who to go to when something doesn't add up You're diligent and detail-oriented, especially when it comes to handling money movements You're used to fast-paced, frequently changing environments and can adapt when processes shift — this isn't a role with a fixed rulebook You have strong stakeholder management skills and are confident communicating with both internal teams and external partners (e.g. banks) You're able to start immediately or on very short notice You're open to a fixed-term contract (~5 months, with a real possibility of extension depending on business needs) Nice to Have Experience working at a neobank or fintech (e.g. N26 or similar) — you'll likely need less ramp-up time in a high-change environment A mathematical or quantitative background Prior experience helping build or improve automations within a reconciliation or payments workflow Basic SQL or data analysis skills

Location: Spain Workplace: remote Senior Reconciliation Analyst (Fixed-Term Cover) About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. A Bit About the Team Our Reconciliation team is small but mighty — every analyst is expected to think like an owner, gradually automating routine work while keeping the core process rock-solid. It's a team that values flexibility (fully remote, outcome-focused — we care that the job gets done, not what hours you keep) and gives people real autonomy once the fundamentals are covered. If you enjoy solving problems that sit right at the intersection of data and payments, you'll fit right in here. About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. What You Will Be Doing Own daily reconciliation monitoring — checking that cash held in the bank matches client balances in our systems, and flagging and investigating any breaks or mismatches as they arise Resolve reconciliation breaks end-to-end — determining whether an issue is internal (looping in engineering) or external (liaising directly with banks and third-party payment providers) and driving it to resolution Maintain reporting and month-end close — supporting vendor reporting, regulatory reporting, and other recurring reporting cycles with a high level of accuracy Work across data tools — using Excel alongside data visualization tools (Databricks, Metabase, or similar — Tableau/Power BI experience also welcome) to monitor and track reconciliation data Contribute to automation — gradually helping automate manual reconciliation processes using AI and other tools, reducing reliance on spreadsheets over time Handle occasional manual money transfers — with the accuracy and attention to detail this requires Manage stakeholders across the business — working with engineering, treasury, and external banking partners to keep processes running smoothly Who You Are You have hands-on experience in reconciliation, payment operations, or treasury operations (e.g. as a reconciliation specialist, payment analyst, or accountant with reconciliation exposure) You're comfortable with Excel and have some experience with data visualization/BI tools (Databricks, Metabase, Tableau, Power BI, or similar) You have a working understanding of payment schemes and how money moves between banks and internal systems — you know who to go to when something doesn't add up You're diligent and detail-oriented, especially when it comes to handling money movements You're used to fast-paced, frequently changing environments and can adapt when processes shift — this isn't a role with a fixed rulebook You have strong stakeholder management skills and are confident communicating with both internal teams and external partners (e.g. banks) You're able to start immediately or on very short notice You're open to a fixed-term contract (~5 months, with a real possibility of extension depending on business needs) Nice to Have Experience working at a neobank or fintech (e.g. N26 or similar) — you'll likely need less ramp-up time in a high-change environment A mathematical or quantitative background Prior experience helping build or improve automations within a reconciliation or payments workflow Basic SQL or data analysis skills

Location: London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE For years, avatars have been something you watch. You write a script, we render a video, someone presses play. That model has taken AI video a long way but it has a ceiling. A video can't answer a question. It can't read the room. It can't role-play a tough conversation and adapt when you push back. We're changing that. Interactive Avatars listen, talk, and respond in real time; inside your product, your website, or your internal tools. You bring the logic and the language model; we power the avatar layer: the speech, the expression, the listening, the sense that there's someone actually there. It's early. Interactive Avatars has just come out of closed beta, and the teams building on it are pushing it into places we didn't expect - AI sales reps, always-on support agents, interactive trainers, onboarding guides. We're hiring a Product Manager to own it and take it from beta to a platform that thousands of developers build on. This is a role with real scope. You'll help define what a real-time avatar API should be, the surface developers integrate against, the experience end users feel, and the commercial model that makes it a business. You'll work directly with the engineering and research teams building the real-time avatar stack, and with the design partners already live in the beta.   THE PROBLEM YOU'RE SOLVING Today, a developer who wants a lifelike, real-time avatar in their product has to stitch together a streaming pipeline, a rendering layer, an agent, and a set of hard real-time problems - latency, interruption handling, listening behavior, expressiveness, consistency across sessions, most of which have nothing to do with the product they're actually trying to build. We have the avatar technology and a working early version. What we need is a PM who can turn that into an API a developer can integrate in an afternoon, trust in production, and build a real business on top of, all while holding a quality bar high enough that the experience feels human, not uncanny.   WHAT YOU'LL BE DOING - Owning the end-to-end Interactive Avatar API. This is the developer-facing surface (SDK, integration patterns, docs), the real-time experience quality, and the path from closed beta to general availability, and defining what the roadmap looks like over the coming cycles - Getting close to the developers and teams building on the beta: understanding how they integrate, where the API fights them, which real-time behaviors make or break the experience, and what "production-ready" means to them - Translating that understanding into a clear product direction. What to build, in what order, and why, and keeping the team aligned as the strategy evolves - Working closely with the engineering and research teams building the real-time avatar stack; contributing clear specs, sound judgment on trade-offs (quality vs. latency vs. cost), and the context that helps them build the right thing the first time - Partnering with go-to-market and commercial teams to define how the API is packaged, priced, and sold - a real-time API has a fundamentally different business model from batch video, and shaping that is part of the job - Defining and tracking the metrics that tell us whether the product is working across adoption, integration success, real-time quality, reliability, and the commercial signals that prove it's a business WHO YOU ARE You've owned a developer-facing product before like an API, an SDK, or a platform and you know that the product is the developer experience. You understand that adoption is won or lost in the first hour of integration, and that trust is won or lost the first time something breaks in production. You build accordingly. You're comfortable in a space where the roadmap isn't fully formed. You don't need a clean brief to get started. You can talk to developers, watch them integrate, synthesize what you see, and come back with a point of view. You're also honest about what you don't know and willing to update when the evidence changes. You care about the detail, and you can hold a quality bar for something subjective and hard: a real-time avatar either feels present and responsive or it feels off, and the difference lives in latency, interruption handling, expressiveness, and consistency. You know how to make that bar concrete and defend it. You think commercially. A new API isn't just a technical surface. It's a business, and you have instincts (or scar tissue) around how developer products get adopted, packaged, and monetized. REQUIREMENTS: - 5+ years in product, with direct experience owning a developer-facing API, SDK, or platform product. The vertical doesn't matter, the platform depth does - Comfortable operating in an early-stage, 0→1 environment where discovery and delivery happen in parallel and the roadmap is still being shaped - Strong technical fluency: you can hold a credible conversation with engineers about real-time systems, latency, and integration trade-offs, and make good calls without needing every answer handed to you - Strong written communication: you can write a spec, a strategy doc, or an API design rationale that others can act on without a follow-up conversation - Real-time / streaming media, conversational AI, or applied-AI product experience is a strong plus but not a prerequisite. - Instinct for the commercial side of a developer product - adoption, packaging, and monetization is a plus. - Based in London or open to regular in-person time. OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21   LOCATION Flexible, hybrid role based from our London office.   GLOBAL BENEFITS: - You will be compensated well with a generous salary and equity. - You get 25 days of annual leave + local holidays. - Regular team offsites where you’ll get to collaborate with the product & engineering team in person. - Work from home budget - Work from anywhere policy of 60 days per year - Generous referral scheme - Enhanced parental leave - maternity leave includes 16 weeks at full pay, and paternity leave includes 5 weeks at full pay (if your country’s government scheme offers more generous support, you receive whichever is greater—our enhanced policy or the local statutory benefit) BENEFITS SPECIFIC TO UK: - Private healthcare via AXA for you with a discount for dependants - 5% pension match - Team lunches Tuesday-Friday in the office - Flexible, hybrid role based from our London office.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you! Your Experience Must have: 7+ years of professional experience in the field of machine learning Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines Strong Python programming skills for efficient model development and deployment Experience with both traditional ML and modern LLM frameworks Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies Experience in building and managing data pipelines using tools like Apache Spark Excellent communication skills and ability to collaborate with diverse teams Commitment to responsible AI practices, including fairness, accountability, and transparency Nice to have: Advanced degree in Computer Science, Mathematics, or a related field Familiarity with statistical and measurement fundamentals and running and evaluating AB tests Data visualisation skills Experience in the MedTech domain What you'll be doing You'll be responsible for: Explore, develop and test complex ML/AI systems to improve female health Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products Build the future-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams Annual Salary Range (ranges may vary based on skills and experience) £130,000 — £180,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

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 You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. 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: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT US Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.   ABOUT THE ROLE The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role.   WHAT YOU'LL ACHIEVE: - Own the commercial performance of your team across new logo ARR, expansion ARR, and UBP outcomes—accountable for both the headline numbers and the quality of execution that drives them - Coach SCs on the GTM builder motion: what great looks like in a first meeting (workflow diagnosis, current → future architecture), a second meeting (live build in Notion + value narrative), and through the full cycle to adoption hand-off - Contribute to and participate in the regional operating cadence: weekly pipeline reviews, deal support sessions, call reviews against the motion quality rubric, and forecast calls with senior leadership - Hire, onboard, and certify new SCs to the GTM builder motion—driving readiness from ramp through consistent execution, and managing performance with clarity when expectations aren't met - Partner with the regional BDR manager on pipeline strategy, outbound targeting, and qualification standards to ensure the team's book of business is healthy and growing - Partner with Outcomes leadership on adoption hand-offs, at-risk account management, and renewal strategy—owning the overall commercial arc for the region while collaborating on the execution that follows close - Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down   SKILLS YOU'LL NEED TO BRING: - Track record as a quota-carrying B2B seller with direct experience in workflow design, live demos, or technical sales—you can coach the builder motion because you've run it yourself - Frontline sales management experience: built an operating cadence, ran performance management, and developed talent from onboarding through consistent overperformance - Strong coaching orientation: you can watch a demo or deal review and identify specifically what to change—not just whether the outcome was good, but why, and what the rep should do differently next time - Commercial instincts at the team level: able to read pipeline health, identify risk early, and drive urgency across a team without micromanaging individual deals - You don't need to be an AI expert, but you have a strong interest in the evolving AI landscape, stay closely attuned to industry trends and developments, and are curious and willing to adopt AI tools to work smarter and deliver better results. - Native or bilingual level fluency Japanese and business-level English proficiency across speaking, listening, and reading, including the ability to support team members with global communication   NICE TO HAVES: - Experience selling or managing in a consumption or usage-based business where adoption signals matter as much as closed ARR - Track record building high-performing regional teams from an early stage: hiring to profile, structured onboarding, certification, and performance management - Experience in a shared account ownership model—able to navigate the SC/CSA hand-offs and hold the commercial arc across the full customer lifecycle We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Toronto; Canada; United States Workplace: Remote 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! ABOUT THE ROLE. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. WHAT YOU’LL WORK ON. - Secure execution environments for agent-generated code - Identity, authentication, and trust boundaries for agents - Model routing and orchestration across different model types and environments - Rate limiting, quotas, and resource management for agent workflows - State management, memory, and filesystem abstractions for agents. IN THIS ROLE YOU WILL: - Turn emerging ML research ideas into production-ready infrastructure - Build core platform capabilities for execution, storage, and state management - Prototype and evaluate new technologies, then help decide what should move into production - Partner with research teams to shape infrastructure based on what future agent systems will need YOU MAY BE A GOOD FIT IF YOU HAVE: - Experience building production ML infrastructure with strong systems fundamentals - Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks - Familiarity with model routing and LLM provider frameworks across different model types and environments - Experience with scalable, fault-tolerant distributed systems and Kubernetes - A track record of moving quickly on prototypes and making good decisions about productionization. BONUS - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes - Interest in emerging ML infrastructure, edge inference, or browser-native models - Open-source contributions to LLM or agent infrastructure projects - Experience with identity, workload auth, or capability-based security systems. 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: 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 - Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time. - Build the future of long-horizon agents: Design and ship agents that pursue complex business outcomes over days, weeks, or months across voice, SMS, email, and other channels. - Turn 0-to-1 work into a platform: Identify patterns and build reusable systems, abstractions, and tools that make future Horizon agents faster and easier to launch. - Solve technically complex problems: Build across orchestration, integrations, data, memory, signals, decisioning, observability, and multi-channel engagement. - Shape the Horizon product: Surface platform gaps through hands-on implementation and work with product and engineering to define Horizon’s architecture and roadmap. - Create a clean path beyond the POC: Once a solution is validated, translate what you built into durable product capabilities and enable a successful handoff for continued deployment. WHAT YOU’LL BRING - Experience building and scaling end-to-end production systems. - Strong platform and systems engineering fundamentals. - The ability to move between customer problems, product design, and technical implementation. - Strong technical judgment in ambiguous, fast-changing environments. - A builder’s mindset and the ability to take products from zero to one. - Comfort working directly with customers and understanding complex business processes. - High agency, adaptability, and clear communication. - At least two years of professional software engineering experience - Experience with Python, TypeScript, or Go and React. EVEN BETTER... - Experience as a founder, founding engineer, or early engineer at a startup. - Experience building workflow, orchestration, event-driven, or distributed systems. - Experience developing platforms or reusable infrastructure for other engineers. - Experience building or deploying AI and LLM-powered products. - Familiarity with enterprise integrations, APIs, data pipelines, and systems of record. - Experience working in complex industries such as financial services or healthcare. 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: 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 When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team. AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents. Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery - Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like. - Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users. - Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it. - Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave. - Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent. - Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks. WHAT OWNERSHIP LOOKS LIKE - A bias for shipping. You move fast, and you finish what you start. - Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences. - An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago. - An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability. - Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web. - 3+ years building production software that real users depend on. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Pride in building reliable, maintainable, and secure systems that scale. - Motivation and high-agency to drive outcomes in a high-autonomy culture. - 4+ years hands-on experience building production systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI products for enterprise or consumers - Experience building native SDKs for iOS (Swift) or Android (Kotlin) - Experience building messaging apps, voice apps or voice agents - Experience with SIP, WebRTC, Twilio or contact-center platforms - Experience with real-time, low-latency distributed systems None of these are required. If the problems above excite you, we’d love to hear from you. 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.