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Location: San Francisco, CA 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $315,000 — $560,000 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 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Collaborate with research teams to implement novel data processing architectures Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: 5+ YOE outside of internships Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Advanced degree in Computer Science or related field Experience with language model training infrastructure Background in Data Infrastructure, MLOps, or ML infrastructure Strong candidates may have: Have significant experience building high-throughput fault-tolerant distributed systems Expertise with Python and Rust Passionate about system reliability and performance Are comfortable working with ambiguous requirements and evolving specifications Take ownership of problems and drive solutions independently Are excited about contributing to the development of safe and ethical AI systems Can balance technical excellence with practical delivery Are eager to learn about machine learning research and its infrastructure requirements Sample Projects Designing and implementing distributed computing architecture for web-scale data processing Building scalable infrastructure for model training data preparation Developing fault-tolerant distributed processing systems Implementing new infrastructure components based on research requirements 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: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Strategy Principal, Proposals at Via, you will write compelling, intentional, and data-driven proposals that convey the value of our products to a diverse array of municipal and transit stakeholders. You will develop a deep understanding of our potential partners’ transportation challenges and goals, become an expert in Via’s unique technical and operational strengths, and lead cross-functional teams across the organization to craft compelling narratives of value. By owning the critical final step of our strategic sales process, the Strategy Principal plays a key leadership role in driving Via’s growth, and expanding transit accessibility by delivering expertly crafted commercial proposals. What You’ll Do: Write, review, proofread, and copy edit comprehensive long-form proposal submissions for potential partners, such as transit agencies, municipalities, schools, etc Communicate Via’s ability to address a potential partner’s technical needs in the context of our technology, operational capabilities, and expert team support Absorb complex product specifications and distill them into easily-digestible prose for potential partners Coordinate with Via’s Partnerships, Expansion, and Finance teams to develop strategies for winning high-stakes, competitive procurements Contribute at every stage of procurements: through evaluation of the partner’s request, creation of exceptional proposal content, editing, and submission Who You Are: Minimum of 6 years of experience in long-form writing and project management; prior experience with RFPs/RFIs/RFQs/Proposals preferred An exceptional writer; your work may have been published, driven business value, or even won awards A collaborative project manager; you keep things moving through strong, clear communication Ability to complete tasks in a fast-paced and deadline driven environment Passionate about urbanism and accessibility; you understand the importance of public transit and are motivated to improve worldwide access to mobility Meticulous and strategic; you can pay attention to every detail in a complex project while, at the same time, relating each of them to the big picture in a coherent way Compensation and Benefits: All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data Salary Range: $115,000-$160,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world-class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

Location: Berlin, Germany 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. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent! What's the opportunity? Fin's Machine Learning team 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 ML product 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. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary, annual bonus and equity Regular compensation reviews - we reward great work! Generous paid time off above statutory minimum Generous family leave (maternity, paternity), to let you spend valuable time with your loved ones Hybrid working MacBooks are our standard, but we also offer Windows for certain roles when needed. Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated Fun events for employees, friends, and family! 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: Berlin, Germany 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. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent! What's the opportunity? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation. Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid 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: Berlin, Germany 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. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. What's the opportunity? At Fin, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. What will I be doing? As an experienced engineer you will: Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day. Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Fin's backend infrastructure Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team. What skills do I need? 4+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team. 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! Great people are effective and learn what we use quickly (or introduce us to better ways of working) Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams Experience with Distributed systems #LI-Hybrid 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: Berlin, Germany 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? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Full Stack Engineer, you’ll have the opportunity to build both the products and the platforms that empower millions of users—from startups to Fortune 500 companies—to create and collaborate in real time. Whether you’re designing core features, improving developer workflows, scaling enterprise infrastructure, or launching entirely new products, your work will directly shape the future of how teams bring ideas to life. You’ll take on complex technical challenges across the stack, building intuitive user experiences, optimizing performance in real-time collaborative systems, and designing secure, reliable, and scalable systems to support Figma’s rapid growth and global expansion. Our engineers are highly cross-functional, partnering closely with Product, Design, Research, and Data to deliver best-in-class experiences. If you’re excited to work across the stack, push the boundaries of product development, and help scale the systems that power Figma, we’d love for you to join us. This opportunity applies to openings at varying seniority levels across our teams, including but not limited to Figma Editor, FigJam, Figma Slides, Figma Sites, Figma Buzz, Growth & Monetization, Internal Tools, Frontend Platform, and our cross-product Foundations team. We’ll discuss more specifics about open roles during the interview process. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and ship high-quality features across the stack, from polished front-end experiences to scalable back-end systems Contribute to both new product development and improvements to established products, balancing user experience craft with performance and architecture quality Own projects end-to-end — ideation, technical design, implementation, testing, launch, and iteration Collaborate with cross-functional partners in Product, Design, Research, and Data to shape product direction and strategy Operate, monitor, and continuously improve the systems you build, with a strong focus on reliability, security, and scalability Mentor teammates, contribute to team culture, and share knowledge through code reviews, design critiques, and pairing We’d love to hear from you if you have: Proven experience in shipping and maintaining full-stack applications in production Strong proficiency in modern front-end frameworks (e.g., React/TypeScript) and back-end technologies (e.g., Ruby, Python, Go, C++, PostgreSQL) A product mindset, with the ability to translate user needs into scalable technical solutions Excellent collaboration and communication skills, with experience working effectively across cross-functional teams Passion for engineering craft and building polished, maintainable, and scalable systems Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code While not required, it’s an added plus if you also have: Familiarity with C++ and WebAssembly in user-facing applications Background in areas such as growth engineering, frontend platform work (build systems, web performance, shared UI/component infrastructure), developer tooling, billing and payments infrastructure, or extensibility platforms (plugins, APIs, widgets) Exposure to technologies like Stripe, Salesforce, Snowflake, SCIM, SAML, or experimentation and observability tooling Experience leading large-scale projects or launching 0→1 products, with a passion for mentoring peers and shaping engineering culture At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. Collaborate with product, research, and infrastructure engineers working across AI. Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. Debug and resolve complex production issues that span services and layers of the stack. Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. Proficiency in TypeScript, Python, or Ruby. Strong system design skills and a track record of architecting resilient production systems. Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. Experience evolving large-scale, shared developer platforms to improve reliability and developer velocity. A proven track record of leading technical strategy and complex, multi-team projects. At Figma, one of our values is Grow As You Go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: The Netherlands; Portugal; United Kingdom; Spain Workplace: Remote NOTE: this position can be remote anywhere within the Netherlands. As the Principal Product Manager for ClickHouse Cloud, you will be responsible for leading the development and delivery of the product working closely with engineering, customers, and stakeholders. What you will do: - Define and drive the product roadmap for ClickHouse Cloud, with a focus on cloud-native database capabilities such as multi-region replication, distributed query execution, fault tolerance, storage tiering, and schema evolution. - Collaborate with engineering to prioritize and deliver improvements to the core database engine, storage layer, and query optimizer, ensuring the Cloud offering keeps pace with open-source and enterprise use cases. - Engage directly with customers, gathering insights through interactions, feedback, and market research to guide product decisions. - Work alongside design, marketing, operations, and sales teams to support feature launches, contribute to blog posts, and help shape product positioning and messaging. - Define and track key performance indicators (KPIs) to measure product success. - Act as the primary point of contact for all product-related communications, effectively managing expectations and keeping stakeholders informed. About You: - Minimum 8+ years of product management experience with a strong background in cloud-based SaaS products. Deep familiarity with database systems, distributed systems, or real-time analytics platforms is strongly preferred. - Hands-on experience with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning. - Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases. - Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks. - Demonstrated ability to work with engineering on low-level technical topics, such as schema management, query planning, storage engines, schema design. - Experience designing and delivering features such as database replication, consistency models, and backup/restore workflows. - Strong leadership skills with the ability to influence cross-functional teams and drive execution in a fast-paced, high-growth environment. - Excellent communication and presentation skills, capable of simplifying deep technical topics for non-technical audiences. Bonus Points: - Experience working and scaling open source technologies - Prior experience at a startup PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States; Los Angeles; Boston; San Francisco Workplace: Remote NOTE: this position can be remote anywhere within the United States. As the Principal Product Manager for ClickHouse Cloud, you will be responsible for leading the development and delivery of the product working closely with engineering, customers, and stakeholders. What you will do: - Define and drive the product roadmap for ClickHouse Cloud, with a focus on cloud-native database capabilities such as multi-region replication, distributed query execution, fault tolerance, storage tiering, and schema evolution. - Collaborate with engineering to prioritize and deliver improvements to the core database engine, storage layer, and query optimizer, ensuring the Cloud offering keeps pace with open-source and enterprise use cases. - Engage directly with customers, gathering insights through interactions, feedback, and market research to guide product decisions. - Work alongside design, marketing, operations, and sales teams to support feature launches, contribute to blog posts, and help shape product positioning and messaging. - Define and track key performance indicators (KPIs) to measure product success. - Act as the primary point of contact for all product-related communications, effectively managing expectations and keeping stakeholders informed. About You: - Minimum 8+ years of product management experience with a strong background in cloud-based SaaS products. Deep familiarity with database systems, distributed systems, or real-time analytics platforms is strongly preferred. - Hands-on experience with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning. - Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases. - Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks. - Demonstrated ability to work with engineering on low-level technical topics, such as schema management, query planning, storage engines, schema design. - Experience designing and delivering features such as database replication, consistency models, and backup/restore workflows. - Strong leadership skills with the ability to influence cross-functional teams and drive execution in a fast-paced, high-growth environment. - Excellent communication and presentation skills, capable of simplifying deep technical topics for non-technical audiences. Bonus Points: - Experience working and scaling open source technologies - Prior experience at a startup     PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Are you a Russian-speaking digital marketing professional with experience in paid-social platforms and a solid understanding of traffic acquisition?   Join Aleph as a Client Solutions Manager and help drive the success of top brands’ campaigns. This role is perfect for someone coming from sales, business development, or media buying, who is eager to apply their expertise in social advertising platforms like TikTok, Meta, Snap, X, or Reddit. What you'll do: Client Relationship Management: Build and maintain strong relationships with Russian-speaking clients, understanding their marketing objectives and ensuring campaign success. Campaign Strategy & Execution: Develop and execute paid-social strategies across platforms, leveraging your understanding of traffic acquisition and campaign optimization. Performance Analysis: Monitor campaigns, analyze results, and provide actionable insights to maximize ROI. Collaboration: Work closely with internal teams—sales, creative, and technical—to ensure seamless campaign execution and client satisfaction. Innovation & Market Knowledge: Stay up-to-date with trends, emerging technologies, and competitor activity to bring fresh ideas that improve campaign performance. What you need for this role: 1–3 years of experience in client solutions, account management, sales, business development, or media buying. Hands-on experience with paid-social platforms (preferably TikTok, but Meta, Snap, X, or Reddit are also acceptable). Understanding of effective traffic acquisition and campaign optimization. Bachelor’s degree or higher in Business, Economics, Marketing, or related fields. Strong analytical skills, attention to detail, and ability to manage multiple projects. Excellent communication skills in Russian and English , both internally and externally. Positive, proactive attitude with a drive to deliver exceptional client outcomes. What will make us really love you: You combine hands-on paid-social expertise with strong client relationship skills. You are proactive, results-driven, and eager to take ownership of campaigns. You thrive in a collaborative team environment and bring a positive, solution-oriented approach. You are coachable, resilient, and excited to grow in digital advertising. You have a proven ability to understand client objectives and deliver measurable results. What you'll love about us: Work with high-profile clients across global markets, driving impactful paid-social campaigns. Join a supportive, international team with a fast-paced, dynamic culture. Enjoy continuous learning and professional development in social advertising. Freedom to innovate, create, and grow within a company that values performance and individuality. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 32,000. In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.   #ALEPH Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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 Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow Set technical strategy and standards for your team's infrastructure Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident Mentor other engineers and help raise the technical bar for the team Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions that other engineers and teams build on top of Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL Low-level systems experience, such as Linux kernel tuning or eBPF Background in security or privacy engineering best practices Prior experience as a technical lead or mentor for other engineers Deadline to apply: None. Applications are 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: $320,000 — $485,000 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: Tri State Area Workplace: hybrid The Demand Generation & Acquisition Specialist is responsible for developing, executing, and measuring all lead generation campaigns to drive qualified leads into the sales pipeline. A strong digital presence is integral in building the net2phone brand, nurturing target audiences, showcasing thought leadership, and building brand loyalty with clients and prospective clients, and as such, the demand generation and acquisition specialist will work with the product, marketing and sales teams to build compelling campaigns that drive results. This role is involved in every step of the customer engagement cycle from ideation to implementation and analysis. The Demand Generation and Acquisition Specialist is expected to research, monitor, analyze, test, and continually refine all components of campaign lifecycles in order to optimize lead generation and overall brand presence. Responsibilities: Build, manage and develop campaigns that drive interest in net2phone services. Analyze and report results and make recommendations to continually improve metrics including click-through-rates, cost per lead, lead score, MQL, and close rates, present recommendations to the management team in a clear, logical, and compelling fashion. Identify new strategies to ensure that the most effective platforms and media are incorporated into campaigns. Manage multiple campaigns simultaneously and make adjustments as needed to optimize results. Perform A/B testing with regularity. Maintain knowledge of digital marketing best practices. Maintain knowledge of net2phone’s offerings, direct and indirect selling strategies, partner program and offerings, industry/product solutions, customer applications, competitive product differences, and competitor marketing strategies. Utilize Salesforce to create, monitor, and track report EDUCATION/ CERTIFICATION/ # OF YEARS EXPERIENCE REQUIRED/ REQUIRED SKILLS: Bachelor’s Degree in marketing or related field 5+ years of experience and proven results in developing effective digital marketing and demand/lead-gen campaigns Highly accountable with the ability to handle multiple projects, manage competing priorities and workflows Experience with marketing automation tools; HubSpot strongly preferred. Exceptional written and communication skills Strong analytical and research skills Independent worker capable of managing multiple projects in parallel Ability to work in a fast-paced environment Marketing analytics and SEO experience Net2phone is a global provider of unified communications-as-a-service (UCaaS) solutions for businesses, leveraging its parent company IDT's global network. It offers a cloud-based PBX system with features like video conferencing, call recording, mobile apps, and analytics to help businesses with their communications. The service is available through multiple plans and is accessible via web, mobile, and desktop applications.

Location: Warsaw Our Security team keeps Asana's employees, users, and customers safe by proactively addressing threats and fostering a culture of security across our product and operations. We're looking for a Staff Detection Engineer to join our Threat Response team in our Warsaw innovation hub. You'll own how we find threats: the detection logic, the telemetry it runs on, and the pipeline that ships it. Detection here is software. Rules are written as code, tested against real and synthetic attacker behavior, reviewed in pull requests, and deployed through CI/CD. You'll partner with our incident responders, infrastructure, and product teams to make sure that when something bad happens, we see it fast and with high signal. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve Design, build, and maintain high-fidelity detections across cloud infrastructure (AWS/GCP), identity providers (e.g., Okta), SaaS environments, endpoints, and the software supply chain. Own our detection-as-code pipeline in Panther: rule structure, unit and integration tests, review standards, and CI/CD deployment, so detection logic is treated as production code. Map and close coverage gaps against MITRE ATT&CK and the threat model for our environment, prioritizing the techniques most likely to be used against a SaaS company. Onboard and normalize new telemetry sources , working with infrastructure and IT to make sure the right logs exist, are complete, and are queryable. Measure and improve alert quality , tracking precision, time-to-triage, and false-positive rates, and tuning or retiring detections that don't earn their keep. Validate detections against real attacker behavior through purple-team exercises, atomic tests, and emulation, and feed findings back into rule development. Turn incidents and threat intelligence into detections , partnering with incident responders to convert lessons learned and emerging TTPs into durable coverage. Build enrichment and automation in our SOAR platform so alerts arrive with the context responders need to act. About you 8+ years in detection engineering, security operations, or threat hunting , with a track record of building detections that responders actually trust. Strong Python skills , with hands-on experience in Git workflows, PR-based code review, automated testing, and CI/CD. Go, Bash, or JavaScript/TypeScript is a plus. Deep experience with detection-as-code , including test-driven detection logic, rule lifecycle management, and deploying rules through CI/CD pipelines. Strong experience with SIEM platforms (e.g., Panther, Splunk, Elastic Security), including query languages, log schemas, and correlation. Deep understanding of cloud and identity telemetry , such as AWS, GCP audit logs, Okta system logs, and SaaS audit APIs, and what attacker activity looks like in each. Working knowledge of EDR tools (e.g., CrowdStrike, SentinelOne) and endpoint telemetry (MacOS). Fluency with attacker TTPs and MITRE ATT&CK, and experience using it to drive coverage decisions rather than as a checklist. Collaborative and pragmatic mindset , with strong communication across technical and non-technical partners, and an instinct for reducing noise rather than adding to it. Demonstrated curiosity about AI tools and emerging technologies, with willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Nice to have Experience detecting software supply chain and CI/CD threats , including anomalous behavior in build systems and developer ecosystems (e.g., npm, PyPI, GitHub Actions). Experience with adversary emulation frameworks (e.g., Atomic Red Team, Caldera) or running purple-team exercises. Experience with data engineering for security , such as log pipelines, schema design, or cost optimization for high-volume telemetry. What we offer Generous, transparent and fair compensation system (base salary and RSUs). Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles). Health insurance with dental and travel coverage (Lux Med). Breakfast and lunch catering on the days that you work from the office. Vacation allowance. Career growth budget. Home office setup budget. Gym/Fitness card. Fertility healthcare and family-forming support with Carrot. Mental Health Support in Modern Health. Group life insurance. MacBooks with all necessary accessories For this role, the estimated base salary range is between 40 000 - 45 000 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: US / Remote Workplace: remote About the Company One of the fastest-growing and most trusted companies in blockchain security, CertiK is a true market leader. To date, CertiK has worked with over 4,798 clients, secured over $597 billion worth of digital assets, and has monitored over 17,000 projects. Our clients include leading projects such as Aave, Polygon, Yearn, and Chiliz.   Investors = Insight Partners, Sequoia, Tiger Global, Coatue Management, Lightspeed, Advent International, SoftBank, Hillhouse Capital, Goldman Sachs, Shunwei Capital, IDG Capital, Wing, Legend Star, Danhua Capital and other investors.   About the Role We are seeking an experienced Solidity Compiler Frontend Engineer to join our team working on cutting-edge blockchain compiler infrastructure and formal verification tools. You will participate in developing and optimizing the frontend components of Solidity compilation pipelines, with a focus on static analysis, type checking, and integration with formal verification systems. Responsibilities Design and implement frontend components for the Solidity compiler, including lexical analysis, parsing, AST generation, and semantic analysis. Optimize compiler performance and improve error reporting and diagnostics. Develop integration layers between the Solidity compiler and formal verification tools. Contribute to the evolution of Solidity language features and specification. Collaborate with security researchers to implement static analysis and security checks. Maintain and improve existing compiler infrastructure and tooling. Requirements 3+ years of professional experience in Solidity compiler development or related compiler projects (e.g., EVM-based languages, smart contract compilers) Strong proficiency in Java with deep understanding of Java based compiler development and optimization Solid foundation in compiler theory, including parsing techniques, type systems, and intermediate representations Experience with formal methods or formal verification tools (e.g., SMT solvers, theorem provers, or verification frameworks) Strong understanding of the Ethereum Virtual Machine (EVM) and smart contract execution models Excellent problem-solving skills and attention to detail Preferred Qualifications Experience with LLVM or similar compiler infrastructure Knowledge of programming language semantics and type theory Contributions to open-source compiler projects Experience with Solidity or other blockchain programming languages What We Offer Opportunity to shape the national conversation on blockchain and security. Collaborate with industry-leading security researchers, technologists, and global institutions. Flexible work environment and mission-driven culture. Compensation: If the role is performed in the US, the target annual compensation is $140,000 - $220,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.   #blockchain #startups #hiring   CertiK accepts applications for this position on an ongoing basis.   CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.   CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.   CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf   All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: Vilnius, Lithuania Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Marketing Analyst to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a detail-oriented and analytical Marketing Analyst to join our team. You will monitor market and aviation trends, analyze marketing and loyalty data, measure campaign impact, and provide actionable insights to support business growth. The ideal candidate combines strong analytical skills with marketing knowledge and can translate data into strategic recommendations. Key Responsibilities Monitor economic and aviation market trends (flight delays, cancellations, airline performance) and compare them with internal data. Monitor and forecast marketing trends; highlight opportunities for new campaigns, partnerships, and initiatives. Analyze marketing and loyalty data, measure campaign impact, prepare reports, provide data-driven insights (Excel, Qlik, Power BI, etc.), and track results against targets. Develop metrics to assess the effectiveness of marketing, advertising, and communication programs. Identify customer behaviors, decision-making patterns, and factors influencing trust and brand choice in the legal/aviation compensation sector. Provide recommendations to the marketing and sales team, and support the development of new initiatives aimed at improving customer acquisition and retention. Collaborate with other team members on automated reporting and new data models. Bachelor’s degree in Marketing, Business Administration, Economics, Statistics, Data Science, or related field; Master’s degree is a plus. Minimum 2–3 years of experience in marketing analytics, business analysis, or a related role. Proficiency in Excel, Power BI, Qlik, Tableau, or other data visualization/analytics tools. Strong understanding of market research, consumer behavior analysis, and trend monitoring. Experience measuring marketing campaign performance and providing actionable insights. Ability to develop metrics, automated reports, and data models, and collaborate with cross-functional teams. Excellent communication, problem-solving, and analytical skills. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) 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.