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Location: London 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 an Algorithm Researcher at Via, you’ll join our R&D center in London, as part of the Core R&D group, which is responsible for developing and maintaining Via’s proprietary algorithms and the services that run them in production. The role sits at the intersection of algorithm development, data science, and software engineering. You’ll work on complex algorithmic problems, explore and evaluate different approaches, and turn your solutions into reliable production systems that support Via’s transportation networks around the world. If you enjoy combining analytical thinking, algorithms, data, and hands-on development, this position might be just for you! What You'll Do: Design, develop, and improve Via’s core algorithms and business logic, solving complex real-world problems. Explore and evaluate algorithmic approaches using data, experimentation, and analytical methods. Develop and maintain mission-critical services that bring algorithmic solutions into production. Work with large datasets to analyze system behavior and improve the performance of our algorithms. Take ownership of complex technical problems, from initial research and exploration through to production. Work in close collaboration with algorithm developers, researchers, data scientists, and software engineers. Who You Are: M.Sc. or Ph.D. in Computer Science / Mathematics / Statistics / Operations Research / similar quantitative field. 3+ years of relevant industry experience in algorithm development, data science, research, or software engineering with a strong algorithmic focus. Strong knowledge of algorithms, data structures, and analytical problem-solving. Strong Python skills and experience developing production-quality code. Experience working with data and applying data science, optimization, or analytical techniques to solve complex problems. Experience taking algorithms, models, or prototypes and turning them into production systems. Experience with DevOps and cloud infrastructure (Kubernetes, etc.) — strong advantage. Experience in architecture and maintaining cloud systems — strong advantage. Curious and analytical: you enjoy exploring different approaches and understanding the data behind your solutions. Pragmatic: you can break complex problems into smaller problems and find simple, effective solutions. Hands-on: you enjoy taking ideas from research or experimentation all the way into production. Compensation and Benefits: Becoming part of a company that was awarded for its commitment to social good: We are one of 17 Ventures That Embody the U.N.’s 17 Sustainable Development Goals Inc. Magazine’s “Best in Business” Awardee in the software category for Companies That Put Purpose Before Profit Competitive compensation including equity A spacious office near Chancery Lane, where you can enjoy weekly team lunches Comprehensive health scheme offered through AXA Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI) There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

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's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups 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: $405,000 — $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: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities Manage a team of individual contributors across multiple policy areas under the User Well-Being banner Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications Experience managing teams in the User Well-Being space Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas Experience managing or coordinating content review operations, including quality assurance and workflow management Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material Proficiency in Python for workflow automation or data analysis Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection Familiarity with age assurance technologies and their role in child safety enforcement 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: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: $245,000 — $285,000 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | London , UK | Lisbon , Portugal About the Team Cloudflare operates one of the largest and most interconnected anycast networks on the Internet. To make that happen, a complex orchestra of IP address configuration and distributed systems need to be in harmony to deliver packets from users, through our edge network and then onwards to our customers origin servers or networks. On the Addressing team, you will architect, program, and maintain core software services that enable large corporate networks to be protected by Cloudflare. Recent projects range from IP conservation efforts, supporting use cases for Policy driven IP address assignment, designing traffic engineering tools that improve the quality of service for billions of users around the world, and building customer APIs to control BGP dynamically. The Addressing team works closely with our system reliability engineers, network engineers  and product engineering teams to build automated systems that span the entire Cloudflare stack. About the role We are looking for talented Software Engineers to join our small but growing team. You will work on a range of microservices written mainly in Go. You’ll be designing and developing new APIs and data models to manage our rapidly expanding addressing needs. The ever growing suite of Cloudflare products and services means our addressing tools are always evolving. You will have the opportunity to take on very impactful projects critical for Cloudflare. You will spend time learning the inner workings of our edge routers, servers, DNS and IP provisioning pipelines. You will work closely with other engineers to understand their needs and create scalable platforms to be used across the company. Some of the technologies we use include Go, PostgreSQL, Docker, Kafka, Lua, Clickhouse, SaltStack, Prometheus and the usual Unix/Linux tools and workflows. We strive to build reliable, fault-tolerant systems that can operate at Cloudflare’s scale. Examples of desirable skills, knowledge, and experience You are naturally curious and willing to take a step to learn something you don’t have experience in You lead. We are a growing team and you will have a huge role shaping our products, tools and system designs from the ground up You have experience writing high-quality code in one or more system programming languages (Go, Python, C/C++) You have experience with modern Unix/Linux development and runtime environments You have a solid understanding of TCP/IP and basic networking in general You have a basic understanding of the HTTP/S/TLS stack You have a working knowledge of SQL and relational databases such as PostgreSQL or MySQL You have experience building and operating distributed systems You have excellent debugging skills and attention to detail when breaking down problems Bonus Points Experience working with Go Experience working with Rust Familiarity with UI design, workflows and implementation Familiarity with anycast or multi-site unicast networks Knowledge of DNS and DNS based traffic management techniques (e.g geo DNS) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Locations: Austin TX, Champaign IL, Lisbon Portugal, London England About The Team: Cloudflare is redefining the way networks are run at scale. Our Network Services product suite puts the connectivity, scale, and performance of Cloudflare’s global network in front of customers’ network infrastructure and private networks, providing a single pane of glass for network connectivity, visibility, and operating network functions like BGP, WAN optimization, and more. We are a team of engineers and product managers who obsess over quickly building products that solve real customer problems using innovative technologies and techniques which leverage Cloudflare’s unique architecture and global network footprint. About the role We are hiring engineers of all experience levels on our teams. Some of the things our teams work on include: An anycast BGP implementation that sustains sessions that are moved across servers and regions Flow and log collection, correlation, and analytics systems to provide customers with unparalleled visibility into their own networks A Linux kernel-based networking dataplane which ingests and forwards traffic from some of the largest networks in the world Control plane systems which allow customers to simply express complex network configurations As a Software Engineer on our team, you will work across a wide range of technologies and systems to deliver new features, improve performance, and increase the scalability of our Network Services products. You’ll build, deploy, and operate our team’s systems on top of one of the largest edge networks in the world. You’ll partner with some of the best engineers and product managers to solve big problems that have a meaningful impact in the lives of our customers and users. We’re looking for curious, empathetic engineers who are excited to join us in changing the way networking is done! Examples of desirable skills, knowledge, and experience Experience building and shipping large-scale, reliable, highly distributed systems Systems-level programming experience, especially in Go and Rust Expertise in L3 and L4 networking protocols Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc Experience designing and integrating RESTful APIs and backend systems Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis Excellent debugging and optimization skills Attention to detail and ability to solve complex customer problems Own solutions end-to-end and driving the design, development, and deployment process Able to work across teams and level common, sustainable solutions Creative, open-minded, collaborative problem solver Focus on clarity in written and verbal communication Compensation Compensation may be adjusted depending on work location. For Champaign IL based hires: Estimated annual salary of $168,000 - $210,000. For Portugal based hires: Estimated annual salary is between €66,000 - 83,000. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an experienced G&A Recruiter to help build the business functions that keep our company running smoothly. You'll partner directly with hiring managers across our General & Administrative teams, owning searches that range from high-volume pipelines to highly strategic, hard-to-fill roles — and you'll be expected to context-switch between them without dropping quality. This is a role for someone who thrives on ownership across a diverse portfolio. You'll manage a high req load across multiple hiring managers, use data and systems to prioritize and surface issues early, and build repeatable processes that scale. We're also looking for someone who actively leverages AI and automation to increase throughput while protecting a great candidate experience. Beyond execution, you'll bring genuine recruiting expertise to your stakeholders: calibrating profiles, sharing market insight, improving processes, and pushing back constructively when patterns aren't working. As Anthropic grows quickly, this role will be key to scaling the teams that support our mission. Key responsibilities Own full-cycle recruiting across G&A functions, adapting candidate profiles, comp benchmarks, and assessment criteria to each segment and level Context-switch between high-volume hiring and strategic, senior searches while maintaining consistent quality and candidate experience Manage a high req load across multiple hiring managers without becoming a bottleneck — using data and systems to prioritize, surface issues early, and keep pipelines healthy Build repeatable, scalable processes, and leverage AI and automation to increase throughput across your portfolio Integrate into existing hiring rhythms while bringing recruiting expertise — calibration, market insight, and process improvement — and pushing back constructively when patterns aren't working Own outcomes across a diverse portfolio, holding yourself accountable for hiring results rather than activity Protect Anthropic's culture by deeply understanding our mission and screening for alignment alongside capability Minimum qualifications Have demonstrated success recruiting across G&A role types and segments (e.g., Finance, Legal, People, Operations) and understand how profiles, comp, and assessment criteria differ across levels Can show examples of moving fluidly between high-volume pipelines and strategic searches without sacrificing quality or candidate experience Have managed heavy req loads across multiple hiring managers, and use data to prioritize, spot bottlenecks, and surface issues before they become problems Build repeatable processes and are actively experimenting with AI and automation tools to increase your throughput Have strong stakeholder management skills — you integrate into existing hiring rhythms, add value beyond execution, and push back constructively when something isn't working Bring an ownership mentality across a diverse portfolio, with a continuous improvement mindset Are deeply curious about Anthropic's mission and passionate about AI's potential to positively impact the world 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: $175,000 — $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 enterprise business is growing fast, and enterprises are adopting Claude across product surfaces. Before they can deploy at scale, they need the same foundations everywhere: security and compliance controls, identity and access management, data governance, admin controls, and cost and spend management. This work is especially critical for customers in regulated industries (financial services, healthcare, public sector), whose security, privacy, and resilience requirements set the bar for everyone else. We're looking for a Technical Program Manager to partner with the teams that own these enterprise foundations, own the planning and execution rhythm that gets each capability onto every surface, and contribute to a coherent leadership view of coverage, gaps, and progress across products. This is a senior role: product, engineering, and GTM leaders will look to you for where we stand on enterprise readiness and for the plan to close the gaps. Responsibilities Run the planning and operating cadence for the foundational-capability roadmap across surfaces: clear DRIs, sequenced dependencies, and a single source of truth on coverage and status for product, engineering, and GTM leadership Drive the highest-priority foundational capability programs end to end, from scoping and tradeoff decisions through delivery on every surface Shape the readiness bar for new products and features: what a surface must have in place before it reaches enterprise customers, and the call on in-flight features that are missing controls Work across teams and directly with customers: partner with sales, customer success, solutions, and support on active deals and escalations, join customer security and compliance reviews, and bring what enterprises are blocked on back to product and engineering Translate customer and regulatory requirements into technical programs: work with legal, compliance, and GTM to prioritize the highest-impact enterprise asks and map them to roadmaps with dates Sample projects include Take a regulated customer's security control assessment from findings to closed gaps, with owners and dates across product, security, and infrastructure Stand up a data residency program: gather requirements by market, what each surface must support, and sequencing with infrastructure Build the operating model for co-building with a large enterprise design partner: staffing, cadence, and how their asks reach the roadmap Extend healthcare compliance coverage to new product surfaces, with a migration path customers can actually take You may be a good fit if you Have 8+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments Have driven decisions among senior leaders with competing priorities, and are comfortable plainly articulating what is and is not ready for enterprise customers Have driven adoption of platform or horizontal capabilities across product teams that don't share a reporting line, where success depended on other teams building on what you shipped Understand what enterprises require before they adopt at scale, particularly for customers in regulated industries: security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP), identity and access (SSO, SCIM, RBAC), data governance (retention, residency, customer-managed keys), audit logging, and spend controls Have worked directly with regulated customers on their security reviews, questionnaires, audit findings, and contract redlines, and understand how control design, evidence collection, and engineering delivery fit together Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have Owned a HIPAA program end to end at a software company, including BAAs, PHI handling, and supporting product controls Worked with financial services customers on data retention, data residency, and encryption requirements (including retention and deletion commitments, regional hosting, customer-managed keys, and contractual evidence and attestations) Run a design partnership or co-build with a large enterprise customer Experience using Claude or other LLM tooling to automate program tracking and reporting 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: $365,000 — $435,000 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: Ottawa; Canada; Vancouver; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors. We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI. Location: Ottawa (proximity to government customers), 20-40% travel anticipated. Security Clearance: Eligibility for Active Top Secret clearance is needed for this position, candidates eligible and willing to obtain clearance will also be considered. More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html. In this role, you will: - Build and ship features for North, our AI workspace platform - Develop autonomous agents that talk to sensitive enterprise data - Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations - Work across the entire product lifecycle from conceptualization through production - Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout You may be a good fit if: - You have experience with and enjoy working directly with customers - You have shipped (lots of) Python in production - You have built and deployed highly performant client-side or server-side RAG/agentic applications - You have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code base - You excel in fast-paced environments and can execute while priorities and objectives are a moving target FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA | 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 Tax team sits within Finance & Accounting and is responsible for the company's tax position as we grow quickly in the US and internationally. New entities and jurisdictions, intercompany arrangements, financing, acquired businesses, and large commercial and compute agreements all carry US international tax consequences, and those consequences are getting larger and more complex as the company scales. We are looking for an International Tax Director to join our Tax planning, M&A, and Policy team. Your core subject matter is the US international provisions, including subpart F, NCTI, FDDEI, BEAT, and the foreign tax credit, along with the subchapter C rules that govern how we form, fund, and structure entities. This is a hands-on technical role. You will write the memos behind your recommendations, review the models that support them, and see your projects through to implementation, often in areas where the facts are new to the company or the law has recently changed and guidance is still developing. Our M&A tax colleagues lead diligence and deal structure on transactions, and once a deal closes you will help work out how the acquired business fits into our international structure. You will also work closely with the colleagues who own the tax provision, compliance, and transfer pricing, and with Legal, Treasury, and Accounting. If you enjoy carrying hard technical questions through to implementation as part of a small team, we would like to hear from you. Key responsibilities Lead and support US international tax planning projects from initial analysis through implementation, and contribute to how the planning group identifies and prioritizes its work Analyze the US international tax consequences of business initiatives, including new entities and jurisdictions, intercompany arrangements, funding and repatriation, and cross-border commercial and compute agreements, and recommend how to structure them Perform and review technical analysis under subpart F, NCTI, BEAT, and the foreign tax credit rules, including expense allocation and apportionment and the interaction among these provisions Apply subchapter C to entity formations, contributions, distributions, liquidations, and internal reorganizations, including earnings and profits and stock basis analysis Define the assumptions and scenarios for models that quantify the cash tax and effective tax rate impact of planning alternatives, acquired structures, and legislative and regulatory changes; review those models for technical accuracy and provide input on them; and be accountable for the conclusions drawn from them Support the M&A tax team after closing by developing the step plans that integrate acquired entities into Anthropic's structure, reviewing the modeling of the alternatives, and leading follow-on planning for the combined structure Draft technical memoranda and maintain documentation that would support each planning position on examination, and work with the provision team on ASC 740 treatment, including uncertain tax positions Partner with tax compliance and transfer pricing so that your projects are reflected accurately in intercompany pricing, the provision, and the US international filings (Forms 5471, 8858, 8991, 8992, 1118, and related), and review the international portions of the US return as a subject matter expertise Scope, budget, and manage work performed by outside advisors on your projects, and review their deliverables Track US legislative and regulatory developments and OECD developments in your areas, assess their impact on our position, and share the analysis with the planning group and Finance leadership Work with the tax advisory team, Legal, Accounting, and Treasury to make sure approved planning and integration steps are implemented as designed, including intercompany agreements Support responses to IRS and other tax authority inquiries relating to positions you have worked on Minimum qualifications Have deep technical knowledge of the US international tax provisions, including subpart F, NCTI, BEAT, and the foreign tax credit rules, and have applied them in a planning context rather than in compliance alone Have working knowledge of subchapter C as it applies to multinational groups, including earnings and profits, stock basis, distributions, and internal reorganizations Have led tax planning projects end to end, including scoping, technical analysis, modeling, documentation, and implementation Understand how planning positions flow into transfer pricing, the ASC 740 provision, and the US international compliance forms Can research a technical question in the Code, regulations, and administrative guidance and write a clear, well supported memorandum Can review a tax model built by someone else, identify where the technical assumptions or mechanics are wrong, and explain what needs to change Have managed outside advisors, including scoping work, managing budgets, and reviewing their output Can run several projects at once with different internal owners and keep each of them moving Can reach a defensible recommendation when the facts are incomplete or the guidance is unsettled, and can explain the remaining uncertainty Communicate technical tax conclusions clearly to people who are not tax specialists, and work well with colleagues in Legal, Accounting, and Treasury Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications CPA, JD, or LLM in taxation 15+ years of extensive US international tax experience, for example a combination of public accounting or law firm practice and an in-house role at a multinational technology company Experience with post-acquisition integration planning, including step plans and modeling for bringing acquired entities into an existing international structure Direct experience with transfer pricing, Pillar Two, or the FDDEI deduction and how they interact with the US international provisions Familiarity with the tax rules of the non-US jurisdictions where a US technology company typically operates Have working knowledge of partnership tax as it applies to multinational groups, including the formation and funding of joint ventures, allocations and distributions, and how partnership structures interact with the US international provisions Experience planning around large cross-border commercial arrangements, such as cloud, compute, or licensing agreements, or standing up entities in new jurisdictions Experience with infrastructure or capital-intensive investments, such as data centers, energy, or similar assets, including joint venture and financing structures Experience supporting an IRS examination of international positions Experience at a company that scaled significantly, or built out its international structure, during your tenure Have built or reviewed US international tax models yourself, which tends to make review faster and more precise Have used Claude or similar tools in tax research, modeling, or documentation, and have views on where they help and where they do not Have mentored or developed other tax professionals 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: $300,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a SEC Reporting Specialist to join a fast-paced, rapid-growth environment on the Fund Finance Central Services Audit team. This role is an integral part of our team and is responsible for the oversight of all SEC reporting requirements and financial disclosures. This position will play a pivotal role in maintaining and enhancing our financial reporting controls and will work closely with the Fund Finance team, external senior leadership and other cross-functional stakeholders. Responsibilities Lead the preparation and review of all SEC filings, including Forms 10-K, 10-Q, 8-K, and other public disclosures for various clients. Oversee the preparation and review of consolidated financial statements, footnotes, Management’s Discussion and Analysis, and related supporting schedules. Partner with external senior leadership and other cross-functional stakeholders to coordinate disclosure input and accuracy. Administer financial reporting controls and partner with process owners and internal stakeholders to support a strong Sarbanes-Oxley compliance framework. Partner with external big 4 audit teams to ensure accurate and timely financial reporting, as well as answering open items. Manage and oversee the client’s consolidation process. Evaluate and improve internal controls continuously to ensure the highest level of financial integrity and transparency. Qualifications Bachelor’s degree in accounting, finance, or related field is required; CPA or MBA is preferred 5+ years of experience in SEC reporting, financial reporting, or a related field Strong knowledge of US GAAP, SEC regulations, and Sarbanes-Oxley compliance Experience with public disclosures and financial consolidations Proven ability to work with cross-functional teams and senior leadership Strong written and verbal communication skills Detail-oriented with strong organizational and project management skills Able to work in a fast-paced environment and meet tight deadlines Proficiency in Microsoft Office Suite and advanced Excel skills Experience with big 4 audit firms or DFIN ActiveDisclosure is a plus Benefits The base salary range for this role is $85,000 to $110,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote-Friendly, United States; San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models Execute per-release safeguard-robustness testing ahead of major model launches Analyze evaluation results and communicate findings clearly to the team and to stakeholders Design, prototype, and tune detection probes for cyber misuse Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time Build and maintain internal tooling used to run and score evaluations Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) Proficiency in Python Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualifications Deep offensive-security or security-research experience, including experience building AI security benchmarks Experience analyzing adversarial or abuse data (e.g., jailbreaks, prompt bypasses, intrusion or fraud telemetry) Experience working onsite with government partners on testing or evaluation engagements Experience with AI/ML evaluation frameworks Familiarity with coordinated vulnerability disclosure practices Experience testing pre-release or pre-deployment software or models under confidentiality constraints Experience authoring detection content (e.g., Sigma, YARA, Suricata, SIEM rules) or building ML-based abuse detection Active secret security clearance or higher, or eligibility to obtain one 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: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Diep N, VP, Finance at Customer.io , and I'm looking for a Global Controller to take the close, the books, and our control environment and make them theirs. We're a global, remote-first, private company built on subscription and usage-based revenue, and as we grow we need a controller who can lead the team already in place and sharpen the fundamentals. You'll lead a team of ~7, growing, across revenue accounting, close, AP/AR, payroll, and treasury, and partner closely with me and, given our CFO's broad remit, with stakeholders across Sales, Legal, IT, HR, and Engineering. What you'll do Lead monthly and quarterly close, GL, AP/AR, payroll, and account reconciliations, delivering accurate, timely US GAAP financials. Close currently runs ~10 business days; get us to 6-8 days within your first 12 months, with fewer post-close adjustments and aged reconciliations. Own revenue accounting and serve as our technical accounting authority on subscription and usage-based revenue recognition (ASC 606), including the ARR-to-GAAP bridge: reconciling ARR, billings, deferred revenue, contract assets, and usage true-ups to reported revenue, and explaining the delta to leadership and the board in plain terms. Author technical accounting position memos on contract modifications, SSP allocation, variable consideration, and capitalized contract costs, the work that makes "technical accounting authority" real. Own equity compensation accounting (ASC 718): grant accuracy, 409A timing, expense, modifications, and cap-table integrity, in partnership with stock plan administration. Manage and grow a team of ~7, with room to scale, building trust quickly and developing the leads beneath you. Build a control framework suited to a global, remote-first, private company with subscription and usage-based revenue, keeping the books audit-ready. Own our accounting systems roadmap and drive automation across close and reporting. Own select treasury operations, including cash management and banking relationships, and partner on FX exposure monitoring given our multi-currency footprint. Run our external audit relationship and coordinate with external tax partners on compliance, provisions, and filings. Manage the realities of a distributed, remote-first global team: statutory accounting coordination, payroll and contractor controls, entity reporting, and working with Legal, HR, and Tax on international compliance. What we're looking for 10+ years of progressive accounting experience, including leading a team through managers or leads. A Big 4 (or equivalent top-tier public accounting) foundation. Deep US GAAP mastery, particular strength in subscription and usage-based revenue recognition (ASC 606). A concrete, personally-owned automation or AI deployment in accounting with a measurable result, eliminating a manual reconciliation, reducing close time, or lowering error rate, that you can speak to in detail. Experience scaling an accounting function that was already running, not building one from zero. A proven track record with external audits and keeping books audit-ready. Strong leadership and communication skills, with credibility partnering with senior, cross-functional stakeholders. Nice to have: internal controls or SOX-readiness experience; remote-first/globally distributed company experience; M&A or deal accounting exposure; CPA license, active or inactive. Compensation & Benefits We believe in transparency. Starting salary for this role ranges from $250k to $280k USD (or equivalent in local currency), structured by geographic zone and depending on experience. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute recruiter screen 45-minute hiring manager screen Two 30-minute cross-functional chats: one with a Legal partner, one with a People partner 60-minute case review call 30-minute bar raiser call with our CFO All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.

Location: Remote (USA) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows that identify and manage agent failures before they reach users. Instrument agent systems for traceability and observability, including agent actions, model behavior, token and cost usage, latency, and system performance. Design and maintain state and memory across long-running workflows and implement model routing, retries, idempotency, and other patterns required for reliable production systems. Build and deploy AI solutions using cloud platforms and services such as: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, or related Azure technologies; Amazon Bedrock, Lambda, ECS, EKS, or related AWS technologies. Apply strong software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD. Work directly with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and other enterprise delivery requirements. Evaluate when agentic architectures are appropriate and when deterministic pipelines, traditional machine learning, or other approaches are more reliable and cost-effective. Turn successful approaches from client engagements into reusable patterns and solutions that can be applied across Zeal. Build trust with clients and internal teams through strong communication, technical judgment, problem-solving, and execution. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a strong software engineering foundation, hands-on experience building agentic AI systems in production, and a keen interest in consulting. Agentic AI: Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures. You can explain the architectural decisions you made, what failed, and what you learned. Evaluation & Reliability: Real-world experience evaluating agent behavior and measuring system failures, including building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and other mechanisms that prevent or mitigate errors. Cloud Technologies: Deep hands-on experience with either Azure or AWS and the AI and infrastructure services surrounding them, such as Azure OpenAI, AI Foundry, AI Search, AKS, Amazon Bedrock, Lambda, ECS, or EKS. Software Engineering: Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD, with enough machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM. Enterprise Delivery: Experience delivering software within large organizations and working through requirements such as role-based access, data isolation, security reviews, compliance, change control, and production governance. Agent Observability: Experience designing systems for traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and other operational concerns associated with production agent systems. Communication: Excellent verbal and written communication skills and the ability to explain complex AI systems, architectural decisions, risks, and tradeoffs to both technical and non-technical stakeholders. Problem-Solving: Strong technical judgment and a demonstrated willingness to challenge assumptions, including recognizing when an agentic solution introduces unnecessary complexity and a deterministic approach would be more appropriate. Experience with MCP and emerging tool-interoperability standards, evaluation frameworks such as RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries such as financial services, insurance, healthcare, or manufacturing is helpful, but not required. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $130,000 - $165,000 per year Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: EMEA or NA Remote - EMEA or North America Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn’t be higher. We’re looking for a Customer Support Engineer to help developers and businesses get the most out of PlanetScale, resolve issues quickly, and build the support function that helps us scale. What’s the job to be done? You will advise and handle support requests from customers and developers on the PlanetScale platform. You will respond to, debug, and resolve customer support issues through support tickets, customer Slack channels, public discussions, and other support channels. You will help customers understand how to use PlanetScale effectively, including how to reason about queries, schema changes, application behavior, database connectivity, and production workflows. You will create and improve internal and external documentation, support playbooks, troubleshooting guides, and customer-facing materials. You will identify product gaps and recurring sources of customer friction, then work with Engineering to prioritize improvements. You will contribute to the systems, processes, and practices that help PlanetScale deliver excellent developer-focused support at scale. These attributes best describe you… You are customer-focused, empathetic, and clear in how you communicate, while knowing when to push back in ways that help customers become successful on their own. You have excellent debugging and troubleshooting skills, with the curiosity and persistence to follow issues across applications, databases, infrastructure, and product behavior. You are comfortable stepping outside your comfort zone. Whether that means reading unfamiliar application code, digging into database behavior, testing a new framework, or learning a connector you haven’t used before, you’re willing to go where the problem leads. You are a self-starting, enthusiastic individual who takes responsibility for outcomes and wants to make a meaningful impact on the business. You can operate independently, but you know when to ask for help and how to bring the right people into an issue. You are highly organized and able to operate in ambiguous or changing situations. You are data-driven, team-oriented, and comfortable communicating across many audiences. You enjoy working cross-functionally and translating customer pain into actionable product, documentation, and process improvements. What you will need Experience supporting production applications, databases, developer tools, infrastructure, or other technical products. Working knowledge of SQL, preferably with experience in MySQL and/or PostgreSQL. Strong debugging skills and the ability to reason through application and database behavior. Programming experience. You will not be programming full-time, but you should be comfortable reading and navigating unfamiliar code to understand customer issues. Experience with common application frameworks, ORMs, database connectors, or application deployment patterns. Willingness to explore new languages, frameworks, tools, and customer environments as needed. Strong written and verbal communication skills. Strong empathy for customers, developers, and teammates, with the ability to advocate for customer needs clearly and constructively. What else will help you be successful Experience working in a remote organization. Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of monitoring, observability, and debugging tools. Experience helping build support processes, documentation systems, or teams from an early stage. Why PlanetScale We’re redefining how high-growth companies manage data at scale — and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Customer Support Engineer, you’ll be on the front lines helping developers and businesses solve real production problems, while also shaping the product, documentation, and support systems that make PlanetScale better for every customer. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate! Total Compensation and Pay Transparency An employee’s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery 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: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example 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: $405,000 — $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: Remote- United States Remote, United States | Full time | Reports to the CEO Compensation: $120K to $150K total compensation (base plus performance bonus) plus equity. This is our founding marketing hire. You are being hired to fire the CEO from his second job. Whippy grew to 1,000+ customers with almost no marketing team. Pipeline comes from founder led webinars, partner channels, referrals, and customer stories good enough that prospects quote them back to us. Right now the CEO personally writes the case studies, directs the website, organizes the events, and approves every asset, while the audiences we already own sit untouched: no sequences, no retargeting, no cross sell motion. Your job covers both halves of that problem. You codify the message, and you build the machine that ships it. Then you own a pipeline number the way an AE owns a quota. One thing to know before you apply: this is a rare shape of role, deliberately. Most product marketers hand their messaging over a wall to someone else who distributes it. Most lifecycle marketers get handed messaging they didn't write. Here there is no wall. The person who writes the story builds the sequence it goes in. If you've spent your career on one side of that wall, this is not your job. If you've done both and hated the wall, keep reading. WHY WHIPPY Whippy is the AI native platform for business communication: AI Voice Agents, AI Recruiting, messaging, VoIP, deep integrations, and our own workflow engine in one system. Our customers do not buy software that helps their employees do the work. They buy AI that does the work. Our deepest market is staffing and HR, where we are the category leader, and new verticals are already opening behind it. We are bootstrapped and profitable, with named, public case studies showing customers saving $1M+ per year. The proof exists. The machine to distribute it does not. That is the problem you are hired to fix. HOW WE WORK Bootstrapped and profitable, so revenue is the strategy, and marketing is measured in pipeline, not impressions. No task is above or beneath anyone here: you will interview customers yourself, write the first draft yourself, and build the sequence yourself. Use AI for leverage: research, repurposing, ops, the grunt work. Never for voice. THE MANDATE, IN PRIORITY ORDER 1. Codify our messaging, then enforce it. Your first deliverable: extract our positioning from the founder's webinars, demos, and the language customers use in our case studies, and turn it into one messaging document. Positioning, product one liners, proof points, banned phrases, competitive framing against the tools we replace. The messaging exists today; it lives in the founder's head and a dozen slightly different pages. You make it one source of truth that everything you ship afterward draws from. 2. Own email and lifecycle marketing end to end. This is where your messaging goes to work, immediately. Audiences we already own and never touch: a thousand customers who hold one product and have never heard about the other five, everyone who demoed and did not close, closed lost deals, and warm site traffic with no retargeting layer. You build the sequences, the drips, the new product announcement motion to the base and to dead pipeline, and the retargeting programs. Nothing here requires inventing demand. It requires finally talking to the people already in the building. 3. Own marketing HubSpot. Today we run HubSpot as a CRM and nothing more: contacts are messy, marketing contacts are unmanaged, lifecycle stages are unused, and no lead has ever entered a nurture. You clean it up and make it the measurement backbone: contact hygiene and segmentation, marketing contact management, lifecycle stages, campaign tracking, and attribution from first visit through demo to close, working alongside our sales ops resource, so for the first time we can say which motion sourced which dollar. 4. Build the proof engine. The CEO writes our case studies today, and prospects quote them back to us. You take that over: extract stories from webinar and call recordings, interview the customers, draft in our voice, get approvals, and arm every story as a page, a PDF, a one pager, and clips cut from recordings we already have. Then turn the library into enablement: battlecards against the tools we replace, per product one pagers built from our Solutions Engineer's technical documentation, and kits for the ATS partner reps who already recommend us inside their own demos and have never been given a single asset to do it with. Everything you write feeds everything you send. 5. Turn events into campaigns, and manage our content writer. The CEO runs the webinars and the dinners; he is the talent. You make sure nothing he generates goes to waste: promotion and registration before, follow up sequences after, and extraction, so every webinar becomes case studies, clips, and campaigns within two weeks instead of sitting in a recording. And our blog and SEO writer reports to you: you set editorial priorities against the messaging doc, raise the bar, and turn one person patching articles into a content function. WHAT SUCCESS LOOKS LIKE - First 30 days: the messaging doc exists and the CEO signed it, you know our six products, three main competitors, and customer stories cold, marketing contacts in HubSpot are cleaned and segmented, and the first lifecycle sequence is live. - First 90 days: two new named case studies shipped and armed, cross sell and demo no close sequences producing measured pipeline, retargeting live, attribution reporting running in HubSpot from visit to close, and partner enablement kits in the hands of at least two ATS partner teams. - Year one: marketing is a predictable pipeline channel with its own number, every customer and dead deal in our database is in a motion, the proof library covers every product and vertical, and the CEO has not written a case study, built a sequence, directed a website page, or chased an event follow up in six months. WHO SUCCEEDS HERE You have 4+ years in B2B SaaS marketing, and your career crossed the wall: you did hands on lifecycle, email, or growth work, and you did real product marketing, positioning, competitive, enablement, whether or not the titles said so. Most people like this come from companies under 100 people, where they were one of one or two marketers and did everything because nobody else would. That's who we want. You can show us both kinds of receipts. Sequences you built with your own hands and what they produced. And named case studies or messaging work you personally shipped and got approved, with the story of how you got each customer to yes. You are genuinely strong in HubSpot: workflows, marketing contacts, segmentation, lifecycle stages, attribution, not just sending emails from it. You write clearly and fast enough that a demanding founder reads your draft and does not reach for the red pen. You know your numbers: pipeline sourced, conversion rates, what each motion returns. Ideally you've done this at a vertical SaaS company selling to SMB owners and operators. Bonus points if you started in sales or SDR work, because you will be embedded with the sales team and you need their instincts. THIS IS NOT FOR YOU IF - You want a brand or pure strategy role. This is a shipping role with a strategy layer, in that order. - You can position or you can distribute, but not both. Half this job is writing the message, half is building the machine that sends it. Missing either half makes this a bad time. - You have opinions about email marketing but have never built the workflow yourself. - You talk strategy more fluently than you talk numbers. - You need an agency and a big budget before anything ships. - You want to manage the work instead of doing the work. WHY JOIN NOW The hardest part of marketing is having something true to say. We have customers saving seven figures with named executives on the record, a category lead in AI, partner reps who recommend us unprompted, a founder who generates demand every time he speaks, and thousands of people already in our database who have never been sent any of it. You are the first marketing hire on a clean cap table. The message is yours to codify and the machine is yours to build, and you get to do it your way.