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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Growth Account Executive at Anthropic, you'll drive expansion and retention of our fastest-growing startup customers by helping them harness the transformative potential of safe, frontier AI. You'll leverage your consultative sales expertise to grow revenue while becoming a trusted strategic advisor, helping customers expand their AI capabilities and unlock new use cases. Working closely with GTM, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong sales acumen with relationship management skills, focusing on growing accounts through strategic upsells while maintaining high retention rates. By driving expanded deployment of Anthropic's emerging products, you will help enterprises scale their AI capabilities while advancing its ethical development. Responsibilities: Drive revenue growth through strategic account expansion and renewals Own the full sales cycle for upsell opportunities while maintaining strong retention rates Build and maintain trusted relationships with key stakeholders across your portfolio of high-growth startups Lead strategic account planning including Quarterly Business Reviews, health checks, and renewal negotiations Partner with customers to identify new use cases and opportunities to expand their AI capabilities with Anthropic Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap Develop and execute account strategies that align Anthropic's solutions with customer business objectives Proactively identify and mitigate retention risks while maintaining high customer satisfaction You may be a good fit if you have: 5+ years of experience in sales or account management roles, with a proven track record of growing accounts and exceeding retention targets Success as a strategic business advisor, deeply understanding startup needs and creating innovative solutions that align with their vision Experience managing complex sales cycles, working with technical stakeholders, and negotiating strategic deals Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to C-level executives Analytical approach to understanding customer needs combined with creative solutions to drive expansion A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly Experience running strategic business reviews and managing executive relationships Track record of consistently meeting or exceeding quota in fast-paced environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Salt Lake City, Utah Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Department Delivery is responsible for owning the customer experience post sale. Their responsibilities include acting as a liaison between the customer and our implementation partners during the customer’s implementation, encouraging daily use of their product portfolio, and year round handling of the customer’s contract including a successful contract renewal. This ownership also includes coordinating with accounts receivable, customer support, expert teams, and sales to accelerate product adoption and maximize the value the customer receives from Filevine.   Job Summary The Account Solution Manager (ASM) owns every aspect of the post-sale experience for a portfolio of approximately 300 customers, operating as a highly resilient, strategic, and adaptable problem solver dedicated to account retention. Serving as the primary operational and relationship anchor for clients, the ASM develops a deep working knowledge of the Filevine platform to optimize product adoption, maximize renewals, and swiftly resolve complex issues. This role requires an exceptional strategist and negotiator capable of orchestrating cross-divisional initiatives, de-escalating high stakes situations, and managing solutioning teams to deliver tailored support. ASMs maintain a meticulously organized book of business, balancing competing deadlines with detailed documentation, while collaborating across support, billing, and leadership teams to mitigate churn risk, formulate creative save strategies, and secure long term customer retention. Responsibilities Drive solutions for customers from contract through renewal to allow for optimal usage of Filevine. Become an expert in the Filevine suite of products and be able to solve technical issues for your customers. Network internally to optimize alternative departments strengths to solve large scale issues for your customers Analyze customer usage data, develop recommendations, and train teams to spur optimal usage of Filevine products. Manage implementation process in conjunction with external stakeholders and customers to ensure smooth onboarding and a robust post-onboarding experience for customers Manage the contract renewal process for customers within your assigned book of business and partner with various internal departments to ensure maximum revenue retention Hold critical conversations with customers addressing what their needs are from Filevine, and what Filevine’s needs are from them according to the contractIdentifying fiscally responsible resolutions for customer’s needs Develop deep working relationships with customers and work with various stakeholders including Expert Teams and Sales to minimize credits and churn and ensure efficient invoice collection. Work closely with third-party implementation partners to ensure smooth onboarding and a robust post-onboarding experience for customers Qualifications Demonstrates expert written and verbal communication skills 3-5 years of experience in an Account Manager, Customer Success, Account Executive, or other customer-facing role Experience managing or maintaining a book of business B2B sales, account management or implementations experience preferred Ability to be extremely responsive and proactive when interfacing with customers Resilient and adaptable to changes that are natural in a startup environment Mature ability to handle challenging conversations with customers Biased towards action in your pursuit of achieving goals Must be able to work in office 5 days a week in our Sugarhouse, UT location Proven ability to maintain focus, productivity, and composure in high-stress, fast-paced in-person environments. Highly adaptable to working in open-office layouts while staying focused and respectful of colleagues. Skilled at handling high-priority Zoom calls with upset customers on short notice, using empathy and composure to resolve complex issues. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Barcelona | UK remote | 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data About our Data Science Teams: We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you’ll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: Recruiter Call Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What’s in it for you: 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas 📍This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. #LI-NB2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: London; San Francisco; New York; Paris; Toronto; Montreal 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! Please note that this is not a live role. We are grateful for your enthusiasm and interest in Cohere and encourage you to submit your resume for future consideration. Should a suitable position become available, we will review your application and reach out to discuss potential opportunities. Role Overview: Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in Toronto, London, Paris, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key responsibilities: - Design, build and scale AI systems for serving our users. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. - Experience writing kernels for GPUs using CUDA. - Experience using large-scale distributed training strategies. - Familiarity with autoregressive sequence models, such as Transformers. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. 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: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing? Product Engineers in the AI Group Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use. Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.. Contribute to all phases of software development including ideation, prototyping, and implementation and testing. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin. Profile we’re looking for These are meant to be indicative, not hard requirements. 5+ years of experience shipping high-quality products. No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes Bias towards progress over perfection BSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Office Based - Toronto, Canada Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. 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. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Location: This is an office based role. We expect the suitable candidate to be based in Toronto as you will be required to work on-site at our lab. We are hiring a MAAS Systems Engineer to focus on building tooling to increase data center operational efficiency. As a MAAS Systems Engineer in Canonical, you will be responsible for the day-to-day management and operations of our lab in the Toronto area, which we use for Ubuntu server certification of US based silicon and server designs. You'll write and use software that deploys and configures servers and network switches, and solve difficult design problems related to doing this well and fast at scale. You will work with a mixture of hardware: cutting edge new silicon that Kernel Team and Partner Engineering teams work on to make them run Linux extremely well, as well as established hardware to make sure new versions of Ubuntu are smooth and fast. This role is a combination of software engineering focusing on reliable automated hardware commissioning and deployment, as well as testing, troubleshooting and experimentation focusing on improving reliability and performance of our software. You don't need to be an expert in all of these areas, but you need to be a good software engineer who is curious about complex distributed systems to succeed in this role. If you love hacking in your home lab, have good Python skills, and are curious about data centre hardware, you will love this opportunity. This role entails Use your Python development skills to develop the Metal as a Service (MAAS) software to work with a large variety of server and network hardware. Actively expand MAAS functionality by creating integrations with testing and scheduling software such as Testflinger. Contribute improvements and fixes to Testflinger. Remotely operate a fully automated server lab with the latest server and network silicon from leading vendors, making sure it remains available to other teams. Improve and extend hardware and network monitoring through automation. Collaborate with other MAAS engineers, as well as data centre hardware specialists, teams responsible for certifying hardware for Ubuntu, kernel engineers and other teams who use the hardware lab. What we are looking for in you STEM Bachelor’s degree, preferably in Computer Science or Software Engineering Curiosity to find out why some systems misbehave, and drive to figure out how to make them behave Python programming experience Linux Administration experience Ability to communicate clearly and effectively in English Ability to work with a globally distributed team of passionate engineers An exceptional academic track record from both high school and preferably university Willingness to travel up to 4 times a year for internal events Nice-to-have skills Mix of Rack and Virtual systems experience Troubleshooting skills Systematic approach to testing Love for performance engineering Data centre operations experience What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ 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. #LI-hybrid

Location: Office Based - Toronto, Canada Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. 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. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Location: This is an office based role. We expect the suitable candidate to be based in Toronto as you will be required to work on-site at our lab. We are hiring a Data Center Infrastructure Engineer to build and maintain MAAS test labs. As a Data Center Infrastructure Engineer in Canonical, you will be responsible for the day-to-day management and operations of our lab in the Toronto area, which we use for Ubuntu server certification of US based silicon and server designs. You'll use software that deploys and configures servers and network switches to operate the data centre and update its configuration, make sure the hardware and cabling is perfectly organised and inventoried, handle hardware deliveries and their onboarding and commissioning. You will work with a mixture of hardware: cutting edge new silicon that Kernel Team and Partner Engineering teams work on to make them run Linux extremely well, as well as established hardware to make sure new versions of Ubuntu are smooth and fast. We run our data centres using software-driven operations, and you need to be familiar with Python software development to be effective in this role. If you love hacking in your home lab, have good Python skills, and are curious about data centre hardware, you will love this opportunity. The role entails Operate a fully automated server lab with the latest server and network silicon from leading vendors, remotely and while on-site, making sure it remains available to other teams. Maintain accurate inventory and layout of the hardware in the data centre. Receive, install and configure new hardware. Actively exercise MAAS functionality by using integrations with testing and scheduling software such as Testflinger. Report issues and assist in troubleshooting. Use your Python development skills to enhance software-driven operations of the data centre. Improve and extend hardware and network monitoring through automation. Collaborate with other MAAS engineers, other data centre hardware specialists, teams responsible for certifying hardware for Ubuntu, kernel engineers and other teams who use the hardware lab. What we are looking for in you STEM Bachelor’s degree, preferably in Computer Science or Software Engineering Excellent organisational skills Attention to detail Data centre experience Linux Administration experience Python programming experience Ability to communicate clearly and effectively in English Ability to work with a globally distributed team of passionate engineers An exceptional academic track record from both high school and preferably university Willingness to travel up to 4 times a year for internal events Nice-to-have skills Troubleshooting skills Systematic approach to testing Love for performance engineering What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ 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. #LI-hybrid

Location: Worldwide We are seeking an experienced software engineer specializing in Python, Django, Django ORM, GraphQL, performance optimization and API Integrations. You will contribute to EnrollWise, our flagship product. EnrollWise is a best-in-class admissions and enrollment platform for public school districts that empowers families to make informed decisions and allows schools to perform fair and equitable student placements. We are actively expanding the EnrollWise product line. The Back End for our product is built with Python and Django and the Front End with React/NextJS with communication/API layer in Apollo/GraphQL. This is a 6-12 months initial contract with an opportunity for a long-term engagement. Attention to detail and the ability to develop performant and scalable software is extremely important. The ideal candidate will be well-accomplished and eager to embrace a healthy challenge. This is a fully remote position. We operate within a system of transparency and open communication that accelerates progress and allows for a healthy work / life balance. You will be working with talented people who are forward-thinking and compassionate. The interview will be expedited if you attach samples of your work (links to web applications you've built or screenshots) and code samples (GitHub/GitLab account). Responsibilities Own and drive the development of new product features and enhance existing. Develop software components that are efficient and scalable. Maintain a high level of quality for software deliverables. Review and provide feedback on PRs from other team members. Collaborate on requirements definition and product design & development. Participate in sprint planning, backlog refinement and estimation. Collaborate closely with Product Managers and Designers to advise on technical feasibility of proposed design approaches. Actively participate in evolving our engineering quality standards. Provide strong thought leadership on emerging technologies. Minimal Qualifications 4+ years of hands-on production experience with Python and Django framework. Experience with Decoupled architectures. Experience building and integrating performant and secure APIs. Strong familiarity with the AWS ecosystem. Experience building microservices while leveraging the AWS ecosystem. Solid grasp of application security and performance optimization techniques. Knowledge of best practice software architecture patterns and concepts. Ability to write scalable, reusable, testable, and efficient code. Proficient in front-end theming, layout building and CSS pre/post-processors. Comfortable with JavaScript. Proactive with strong communication skills - fluent in the English language. Stellar problem solving, organizational and time management skills. Nice to have Experience developing SaaS products. Experience with NoSQL database backends. Experience configuring and maintaining CI/CD pipelines. Experience with other programming languages. Compensation Depends on experience. About Blenderbox Blenderbox is a values-based virtual agency with subject matter experts distributed around the United States with headquarters in New York City. We have over 20 years of experience building websites and applications, primarily for government and public sector organizations. Our culture is one of inclusion, transparency and pride. Our team works cross-functionally and collaboratively on a diversity of projects that are reflective of our shared core values.

Location: Remote Automattic, the tech powerhouse behind WordPress.com , Jetpack , Tumblr , and WooCommerce , is looking for the world’s best systems engineers. On our Systems team, you’ll deliver high availability, performance, and security for tens of billions of page views and over a billion web surfers each month—from 30 private data centers in 30 locations on 6 continents. Help us develop, build, and maintain a leading global infrastructure and share our learnings with the world. As part of a small and vertically integrated team responsible for a huge setup, you’ll have a unique opportunity to participate in all aspects of the management of our infrastructure, including: Maximizing the availability and uptime of all services through proactive planning, sound architectural decisions, automation and rapid response to failures; Making Automattic services as fast as possible for our users through optimization of server-side and client-side interactions, and work with 3rd party services where necessary; Ensuring our services are safe and secure for both our users and employees through a combination of proactive monitoring and enforcement, real-time response, and maintaining data integrity/backups to allow recovery from disasters; Removing as much friction as possible between Automattic developers and their goal of shipping software. When there are questions, we provide answers—usually in a matter of minutes, sometimes seconds; Here's a real-time traffic map. Each color represents an Automattic data center: http://automattic.com/automattic-data-centers The Systems Engineer position might be a good fit if you: Have maintained large Nginx setups with advanced routing configuration, load balancing, reliable performance and high availability; Have run very large MySQL/MariaDB deployments while maintaining an unparalleled level of performance, uptime and data integrity; Have experience running and debugging PHP applications at scale; Understand the relationship of these services with the lower level systems stacks - filesystems, network, memory management, kernel internals, etc; Have deep operational and maintenance experience with very large and complex public facing web hosting systems; Can autonomously architect, prototype, and maintain solutions to different problems and hosting requirements; Possess extreme attention to detail and strive for unparalleled operational excellence; Are open and available for a 2-3 week post-COVID travel per year to meet up with your teammates in person. Want to know more about how we do things? Watch: We are looking to expand our team and aim to reflect and expand on the diversity of Automatticians currently working with us. At Automattic, we value diversity and know that different perspectives will ensure our team is innovative and creative thinking. Salary range: $120,000-$180,000+ USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated for the right candidate. We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . #LI-DNI About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to partner with world-class ML researchers to develop new LLM capabilities Care about the societal impacts of your work Have clear written and verbal communication Strong candidates will also have experience with: Collaborating with product teams to quickly prototype and deliver innovative solutions Building complex agentic systems that utilize LLMs Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems . Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute. We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play. Responsibilities: Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) Design and implement rigorous quantitative benchmarks for large scale agentic tasks Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: Have experience with large-scale RL on language models Have experience training multi-agent systems Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface. Have good communication skills and an interest in working with other researchers on difficult tasks Have a passion for making powerful technology safe and societally beneficial Are excited for a mission-driven org with fast-paced, impactful work Representative projects: Design and build reinforcement learning environments to train groups of Claudes how to solve problems together efficiently Design and build agent affordances that unlock new capabilities and scales of agents, while keeping the Bitter Lesson in mind Design and build a novel eval that measures how large teams of agents interact in groups to solve problems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: Have significant software engineering or machine learning experience, particularly at supercomputing scale Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers Representative projects: Implement low-latency high-throughput sampling for large language models Implement GPU kernels to adapt our models to low-precision inference Write a custom load-balancing algorithm to optimize serving efficiency Build quantitative models of system performance Design and implement a fault-tolerant distributed system running with a complex network topology Debug kernel-level network latency spikes in a containerized environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lightning Labs Workplace: Remote Lightning Labs is seeking to hire a Security Engineer for the ongoing scaling of our growing engineering organization. This is a hands-on role that consists of devising and implementing policies and procedures around best practices in systems security.  The ideal candidate has experience in securing web, Bitcoin, and other public-facing network services, penetration testing, and both automated and manual source code security reviews. Due to the domain in which we work, experience with Bitcoin and the Lightning Network is extremely desirable as is knowledge of the cryptographic aspects involved in this area.  As we are an international organization, experience and comfort working with highly distributed teams is a must.  In addition, the ideal candidate should have a passion for our mission of bringing financial freedom to the world, as well as for Bitcoin as a whole. Although a part of the engineering organization, candidates in this position will work across functional team boundaries to ensure all aspects of the business are appropriately considered and covered by security best practices.   Responsibilities may include but are not limited to: - Designing and deploying active fuzzing, black+white box testing and penetration testing infrastructure for open source and production systems  - Performing security audits and review of both internal production systems as well as open source software which interacts with Bitcoin+Lightning in a security critical manner  - Provide mentorship and guidance to level up your teammates - Creating global security policy, standards, guidelines, and procedures to ensure ongoing maintenance of security - Overseeing security aspects of software release processes and infrastructure - Determining security team requirements for future growth - Developing and ensuring responsiveness of security incident management processes - Performing risk management assessments   Preferred experience:  - At least 5 years prior experience in in systems security - An ability to work with a high impact, fast-moving startup team - Extensive knowledge of operating system and computer architecture internals  - Strong understanding of cryptography, protocol design and adversarial analysis  - Experience in reverse engineering and exploiting of cryptographic protocol (cryptocurrencies like Bitcoin) systems - Extensive expertise with professional software development experience in Go, Rust, C/C++, and/or Java - Experience in security incident response  - Experience in security code review and vulnerability triaging  - Prior experience running an open source facing bug bounty program  - 2+ years management experience or experience as a senior decision maker - Experience working with remote teams - Experience working with Kubernetes and AWS infrastructure - Working knowledge of fundamental Bitcoin and Lightning design principles - Candidates with additional experience are welcome to apply as we are open to adjusting the role accordingly

Location: Home based - EMEA Use your deep C++ skills on Windows and MacOS to build an amazing open source developer experience with Multipass , the workstation mini-cloud at your fingertips which provides Ubuntu and appliance VMs on demand for build, test and prototyping. The Multipass team is hiring a Software Engineer to join our distributed team. We greatly value quality in our code, and great user experience. Multipass is published for macOS, Windows, and also Linux. Think of it as a workstation mini-cloud. At its simplest you can simply say multipass launch and you will get a new VM on your workstation. You can feed that VM data, just as you would on a public cloud like AWS, Azure or GCP. The goal is not to be a full cloud of course. The goal is to give developers a local cloud on their workstation, which they can use to run builds in the background, or to try cloud appliances, or to test their own cloud deployments and cloud-init scripts, free of charge. People sometimes use it as a build farm on a shared server, for example. As a Software Engineer you are expected to play a leadership role designing, mentoring, reviewing and of course coding. Location : This is a remote position available in the EMEA region only. What you will focus on Ensure Multipass is easy and intuitive to use Architect new features and design the user experience Write high-quality code to create new features and fix bugs Review code and architecture as part of Canonical’s engineering process Collaborate proactively with a distributed team Debug, track down and fix issues encountered by our users Foster the open source community and support customers when needed Travel internationally for up to two weeks, twice a year, for company events What we are looking for in you Cross-platform development experience on macOS and/or Windows Expertise in modern C++ development (C++14 minimum) Experience with software testing and test-driven development Extremely high personal standards for code quality, testing and design Knowledge of hypervisor technologies such as Hyper-V, VirtualBox, KVM, and QEMU Open source experience and involvement Knowledge of CI systems a plus Capacity to learn quickly about new systems and techniques Excellent communication skills in English - both verbal and written Bachelor’s or equivalent in Computer Science, STEM or similar degree What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ 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. #LI-remote

Location: Remote-North & South America Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Metabase is looking for an Analytics Engineer to support our team.   This role will be a key part of the operations team, using the disparate data sources we have on our customer base, customer onboarding, and community intelligence to better understand our users, their needs and what we should do to better help our customers.   Things you'll do :   - Iteratively refine our data, build models and help spread data throughout the team to enable self-service analytics - Organize our datasets and do complex transforms using SQL & Python. - Dig into data, answer questions - Teach the others on your team to fish - Collaborate day to day with business users, designers, product managers and engineers - A bit of everything from data ingestion, modeling, analysis, science, and story telling.   Things we're looking for :   - Strong data modeling or integration skills - Extremely strong coding skills using SQL (100+ lines of complex SQL queries/models) or Python (1k+ lines of OOP scripts) - Fluency in expressing business processes using models and charts - 5+ years as an analytics engineer, data analyst, data scientist, data engineer or similar role - BS in CS/CE, Math, Economics or equivalent technical degree preferred - Experience a plus: B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), LLM/AI - Candidates who operate in UTC-3 -- UTC-8 Compensation The US base salary range for this role is $95.4K–$190K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)