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Location: Remote, Australia; Remote, Singapore GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are currently hiring a Field CTO to join our Strategic Field Organization at a Principal Solutions Architect level to be based in Australia or Singapore . This role reports into our Global Head, Field CTOs. The Strategic Field Organization is a team of Principal Solutions Architects that supports global strategic prospects and customers. This team collaborates with the regional account teams to work together on large engagements that require a high degree of strategic planning - such as DevSecOps transformation, solution recommendations, and advisory for our customer's senior technical leadership. Field Solutions Architects (SA) are the trusted advisors to GitLab prospects and customers during the presales motion. We demonstrate how the GitLab platform and GitLab Professional Services address common and unique business requirements. Our Solution Architect team adds value to GitLab's customers by providing subject matter expertise and industry experience throughout the sales process and collaborating internally with the product. Our Field SA's also engage proactively with existing GitLab customers to provide thought-leadership, engage in innovative solutions, collaborate around evangelism activities around unique customer requirements (i.e. meetups and presentations) and continuously seek market feedback to improve the GitLab platform. What you'll do Create and maintain relationships with customer executives that contribute to large Net ARR deals and customer success Provide executive-level, thought leadership on strategic opportunities (i.e., new logo and growth) Curate and manage field feedback, while collaborating with the product team on roadmap and issue prioritization Scale and grow regional-level expertise within the field (SAE/AE,SA,CSM) through contributions to enablement and content Act as a prospect / customer advocate on DevSecOps transformation initiatives Build and maintain select subject matter expertise related to GitLab targeted technology sectors through industry monitoring and participation in external working groups, committees and development projects Keep up to date on GitLab-relevant emerging methodologies and technologies and leverage that knowledge to drive solution strategy and influence product strategy What you'll bring Significant experience as a CTO/ Principal Solution Architect with architecture of enterprise software development workflow Experience delivering information/Cyber Security and compliance related solutions and assessments Experience with software development tools, practices, and methodologies Strong verbal and written skills with a strong ability to articulate and communicate strategies to all levels in an organization (i.e., executive to staff engineer) Ability and willingness to learn and use GitLab as an integral part of the role Ability to travel and comply with the company’s travel policy How GitLab will support you Be nefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! External Platform builds and operates mission critical platforms that power how customers build on top of and with Figma. The team owns our MCP, Rest API and Gateway integrations powering millions of users as they work across design and code. As an Engineering Manager on External Platform, you’ll lead a team of senior engineers working at the intersection of engineering, operations, and platform strategy. You’ll partner closely with some of our largest customers, Legal, and Program Management to translate shared goals into durable, scalable outcomes. While this team works on our external platforms, the focus is on reliability and extensibility. You will operate the platform supporting our fastest growing products and provide APIs and frameworks that both internal teams and customers built on top of. This role is ideal for someone who enjoys operating in ambiguous, cross-functional spaces, amplifying the impact of strong ICs, and driving outcomes through platform leverage. This is a full time role that can be held from our NYC hub or remotely on the East Coast of the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products Partner with customers, engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution Hire, coach, and develop senior and staff engineers to scale the team Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency Build an inclusive team and culture through thoughtful team-building and hiring practices We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI platform space 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor Experience managing platform teams with a focus on reliability and extensibility A proven track record of motivating, mentoring, and growing experienced engineering leads Experience building and scaling engineering teams and org structure as they grow While it’s not required, it’s an added plus if you also have: Experience with MCP Infrastructure and integrations Experience with  LLM, AI gateways A background in adjacent infrastructure domains At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA | Seattle, WA | 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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Audit & Assurance runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Audit & Assurance and helps run that integrated audit program, plan the audits we add next, and assess the frameworks and scope changes we are considering. About the role You'll help run Anthropic's unified audit program: quarterly audits across SOC 2, HIPAA and the ISO 27000 family including ISO 42001, plus the rest of our certifications, working with our audit firms, our GRC Partners, and control owners across the company. You'll plan new audits as we expand to new frameworks, platforms and regions, and run the gap assessments that tell us what each expansion takes before we commit to it. You'll help build the audit operating model and runbook, and drive automation in the program so evidence is collected once and reused across frameworks, requests reach control owners once, and each audit cycle takes less effort than the last. Building with Claude is a normal part of the job, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone with program management experience who writes clearly, stays calm under deadlines, and likes making a busy program simpler. Key responsibilities Run the audit program as a program: one integrated plan and calendar across audits and expansions, with milestones, dependencies, risks and decisions tracked, and regular status to GRC leadership and stakeholders Plan and run the quarterly audits, from scoping through report and findings closeout Run audit readiness ahead of each fieldwork window: control owner prep, evidence pre-checks and walkthrough dry runs Scope each audit's boundary with Product and Engineering: which products and deployment paths are in scope, and flag when a launch or new platform changes it Help build the audit operating model and runbook for a unified audit program, and keep both current as the program grows Drive automation in the program: evidence collected from source systems, request tracking and audit reporting, with evidence and walkthroughs reused across frameworks Coordinate audits across frameworks and firms so audit windows line up and control owners are asked for the same evidence once, and drive new ways of automated evidence generation and collection with GRC Engineering Plan new audits and audit expansions as we commit to them Run framework and scope expansion evaluations and gap assessments, with a recommendation and an effort estimate leadership can act on Work closely with control owners and GRC Partners: prepare control owners for audits, get evidence delivered and findings closed, and hand findings that need extended remediation to GRC Partners Manage day-to-day auditor relationships, and report audit status, findings and program metrics to GRC leadership Minimum qualifications Several years of program management: running multi-workstream programs with a plan, milestones, dependencies, risk tracking and status reporting to leadership Several years running external security audits (SOC 2 and ISO 27001 at minimum), on the company side or at an audit firm, including seasons with several frameworks at once Working knowledge of SOC 2, the ISO 27000 family, ISO 42001 and HIPAA, and where their requirements overlap Experience leading a gap assessment for a new framework or scope change and presenting the result to leadership Experience building or improving an audit process: calendars, request tracking, runbooks, roles and responsibilities Enough technical fluency to understand how evidence is produced in cloud environments and to judge whether a system-generated report is complete and accurate, and to build simple automations with Claude Clear writing and calm coordination under deadline pressure Ability to get control owners to deliver on time without authority over them Preferred qualifications Audit firm experience (Big 4 or a SOC 2 or ISO certification body), especially as a senior or manager on technology clients Experience adding new frameworks such as PCI DSS, ISO 27701 or 27018, CSA STAR, or international schemes (for example IRAP, ISMAP or C5) Have automated evidence collection or audit reporting, or use Claude or other LLMs day to day to plan, track and report program work Experience with a GRC platform or building lightweight internal tooling You don't need to Have done everything on this list. The combination is running a global audit calendar well, plus the instinct to make it simpler each cycle Hold every certification. CISA, CISSP, ISO 27001 Lead Auditor or similar are welcome but not required Have prior AI industry experience Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $270,000 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. 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: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 The Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions Work with Security on the contractor access model and on keeping Anthropic data off vendor devices Run data loss controls through Chrome Enterprise Premium Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you Have owned ChromeOS as a platform for a fleet of thousands of devices Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting Have automated ChromeOS policy through the Chrome Policy API or GAM Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams Have set up zero touch enrollment with resellers and shipped devices across several countries Have worked with Android device management and can hold your own in a mixed fleet Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience, including vendor partners View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles Have managed ChromeOS alongside macOS or mobile fleets Have used VDI or browser-based access to keep data off the device for outsourced teams Have supported BPO or vendor programs through fast growth into new regions Have built automated, progressive rollout systems with promotion gated on telemetry Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting ChromeOS management through the Google Admin console and Chrome Enterprise Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting Android Enterprise management (working knowledge) Querying live device state at fleet scale GitOps and CI for configuration management Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $360,000 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. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Embedded Engineering Manager to build and lead a new embedded team for a next-generation wearable. The team owns the firmware that members interact with directly on the device: how it responds to them, how it presents their data, and how it feels to use every day. It takes that firmware from early prototypes through new product introduction and into production. This role combines technical leadership with people management. You will lead a team of full-time and contract firmware engineers and grow it as the program scales. You will take part in architecture decisions with the program's technical leads, review the team's code, and own its delivery schedule. You won't be the team's primary developer, but you will be close enough to the code to step in when it helps. You will work closely with Product, Design, Hardware, and Quality, and with the firmware teams building sensors, connectivity, and power on the same device. RESPONSIBILITIES - Build, manage, and mentor a team of embedded engineers through hiring, onboarding, feedback, performance management, and career development. - Direct the work of contract engineers alongside full-time staff, holding both to the same design and code quality bar. - Lead the team's delivery of the member's on-device experience firmware, from prototype through production release. - Partner with the program's technical lead and senior engineers on architecture for responsive, power-efficient firmware on resource-constrained multi-core hardware. - Serve as a player-coach who reviews code and shapes designs, contributing directly when the team needs it. - Own the team's planning and delivery cadence, keeping scope, dependencies, and risk visible to partners and leadership. - Partner with Product and Design to turn member experience goals into firmware requirements that fit the hardware's memory, compute, and power budgets. - Set engineering practices for testing, hardware-in-the-loop validation, release readiness, and field diagnostics. - Foster a culture of high standards, direct feedback, accountability, psychological safety, and continuous learning. QUALIFICATIONS - 5+ years of embedded firmware development in C or C++, including experience as an engineering manager or team lead responsible for mentorship, feedback, and career development. - Experience shipping firmware in a consumer electronics product, from early hardware bring-up through production. - Hands-on experience with an RTOS (Zephyr, FreeRTOS, or similar) on microcontrollers or embedded SoCs. - Experience optimizing firmware for performance, memory, and power on constrained hardware. - Demonstrated ability to plan and deliver in ambiguous environments, including early-stage hardware programs where requirements are still forming. - Strong communication skills, including the ability to explain technical tradeoffs to Product, Design, and leadership. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work meets the same quality bar as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help define and drive the next generation of GitLab’s Fulfillment platform. Fulfillment ensures that customers receive the right product access and can manage seats, usage, and spend across GitLab.com, Self-Managed, Dedicated, and other deployment models. Its core areas include entitlements, licensing and provisioning, seat management, usage visibility, and cost management. The existing platform has served GitLab for approximately a decade and now faces significant challenges in scale, maintainability, and architectural complexity. This role will help us understand where we are today and define how Fulfillment should work over the next ten years. This is a senior player-coach role. You will set architectural direction across the Fulfillment portfolio, make critical technical decisions, and work directly with teams to execute the resulting modernization strategy. You will influence across organizational boundaries while remaining hands-on in design, implementation, technical problem-solving, and mentorship. What you’ll do Define and communicate the long-term architecture and technical strategy for Fulfillment, including target state, principles, priorities, and migration sequencing. Assess the current platform and address its most important risks across scale, reliability, performance, data correctness, operability, and maintainability. Drive architectural decisions across entitlements, provisioning, seat management, usage visibility, and cost management. Establish clear service boundaries, data ownership, contracts, and integration patterns across Fulfillment, Monetization, billing, Salesforce, and product services. Lead an incremental modernization program that improves the existing platform while continuing to deliver customer and business value. Partner with Engineering Managers, Product Management, and cross-functional stakeholders to turn architectural direction into executable roadmaps and shipped outcomes. Be hands-on with the hardest problems, including prototypes, critical implementations, migrations, performance improvements, reliability work, and incident learning. Champion practical artificial intelligence (AI) adoption across Fulfillment, including agentic coding and AI-assisted engineering workflows, and help teams apply these tools responsibly and effectively. Mentor and coach Senior and Staff Engineers and raise the quality of technical decision-making across the organization. What you’ll bring 10+ years of professional software engineering experience, including substantial experience at Staff, Principal, or equivalent technical leadership level. Direct experience building, operating, or modernizing Fulfillment systems, including areas such as entitlements, licensing, provisioning, subscription lifecycle, seat management, usage metering, usage billing, or cost controls. A track record of setting technical direction across multiple teams and turning architecture into reliable, operated systems. Deep experience with distributed systems, scalability, availability, performance, observability, data integrity, and failure-mode analysis. Comfort working in one or more of Ruby, Go, and Python, with the ability to navigate both Backend and Frontend in a polyglot system. Practical experience using artificial intelligence in software engineering, including agentic coding or AI-assisted development workflows. Demonstrated success modernizing mature or degraded platforms without relying on a risky “big bang” rewrite. Experience designing systems that span multiple deployment models, such as software as a service, Self-Managed, Dedicated, or disconnected environments. Strong product and business judgment, with the ability to connect technical investment to customer experience, revenue, operational efficiency, risk reduction, and time to market. Excellent written communication and the ability to influence senior stakeholders across teams without formal authority. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $223,000 — $317,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting 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 The vision for Claude Marketplace is to create an ecosystem flywheel, connecting builders and buyers. We're hiring a Product Manager to own the Marketplace as a product, for the partners who sell on it and the customers who buy through it. You'll work closely with the Marketplace team, which owns the partner and customer relationships as well as the commercial motion, and build on systems owned by other product and engineering teams. You'll have a lot of room to define and build the experience fitting for an AI native world. Key responsibilities Own the Marketplace product end to end for partners and customers, from onboarding and listing through purchase and billing Design the commercial workflows behind the Marketplace from first principles, so they scale and meet partners' and customers' finance, audit and compliance requirements Shape the business strategy and commercial incentives with Business Development, Finance and Legal, and build them into the product Be the product voice partners hear from, and turn signals from partners, customers and the field into a roadmap Define the Marketplace's success metrics and how they're measured Minimum qualifications Have owned a product end to end, including the operational workflows behind it, and were the person accountable for its outcomes Have built with or shipped on top of large language models, and have used them to make a product experience better Have led cross-functional work where most of the teams you depended on didn't report to you, and earned their trust quickly Can present to executives at partner companies and represent Anthropic well in front of them Write clearly enough that an engineer, an executive and an external partner can each see the tradeoff you're making Care about Anthropic's mission, and specifically about building an ecosystem where the companies that build on Claude grow along with it Preferred qualifications 8+ years of product management experience Played an active role in a marketplace, app store or partner ecosystem, on either the platform or the partner side Taken a product from zero to one, where the users, the product and the economics all had to be worked out at once Go-to-market instincts: how co-sell motions, partner programs and platform economics work in enterprise software Experience/familiarity with high growth AI native companies, including their business models and growth vectors Location San Francisco, New York City or Seattle. 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: $305,000 — $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. 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 Program Manager on Anthropic's Safeguards team, you'll help make sure we meet our obligations under AI safety laws and regulations around the world. Working closely with Legal, you'll turn new and emerging requirements into programs, controls, and deliverables. This requires a detailed understanding of how our models and products are built, evaluated and safeguarded. Your work will support Anthropic's commitment to developing AI safely and beneficially as the regulatory landscape evolves. The responsibilities listed below are some examples of areas that someone in this role could own, depending on their experience and the team's needs. Key responsibilities Manage and drive complex safety initiatives that identify, assess and mitigate risks from frontier models, from initial risk assessment through to the deployment of safeguards Partner with the Safeguards incident management team to strengthen incident response and reporting processes, including the policies that determine how incidents are escalated and when they must be reported externally Conduct post-incident reviews, and work with the subject matter experts for each harm area to incorporate the findings into model and product safeguards Own the safety strategy and deliverables for AI systems used in high-risk settings, including risk assessments, technical documentation, and the information that deploying customers need to use those systems safely Define the safety and risk controls that our models and products require, ensure that each control has an owner and a documented procedure, and confirm that it operates as intended Partner closely with the owners of each risk area to develop a deep understanding of AI risks, safety evaluations and mitigation strategies, and use that understanding to prepare safety documentation, transparency reports and regulatory submissions Minimum qualifications Experience in trust and safety, AI safety or a related field, including designing and implementing safeguards against misuse or harm Understanding of AI safety, including the principal risk areas and the evaluations and safeguards used to address them, well enough to engage substantively with the technical experts responsible for them Experience running risk assessment or harm mitigation programs from identification through to resolution Experience translating policy or regulatory requirements into practical operational processes Ability to drive complex, cross-functional programs to completion in a fast-moving environment, including with technical teams outside your own discipline Clear written communication, including documentation for technical, legal and external audiences Strong attention to detail, and the judgment to recognize when work is at risk and raise it early Commitment to the safe development and deployment of AI Preferred qualifications Experience with AI-specific regulation, such as the EU AI Act Experience leading incident response programs, including escalation paths and external reporting obligations Experience preparing safety documentation, transparency reports or regulatory submissions Experience working with technical and research teams on safety evaluations 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. 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: Paris, France 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. Sales Manager, Enterprise Industries As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with leading enterprises. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities across their business. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for industry-specific applications Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the Industries sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across business units, research and development centers, and corporate functions Help your team navigate complex enterprise stakeholder ecosystems including executives, business leaders, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback to inform product direction and enhance customer experience for Industries Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in France Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with customer stakeholders Track record of successful partnership with technical teams throughout the customer journey within large enterprises Deep understanding of Industries buying cycles, procurement frameworks, and key pain points Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles Excellent communication skills and ability to build relationships across all levels, from technical and business teams to senior executives in Industries Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development Sales Manager, Enterprise Industries En tant que Sales Manager chez Anthropic, vous dirigerez une équipe d'Enterprise Account Executives qui favorise l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des entreprises de premier plan. Vous mettrez à profit votre leadership et votre expertise de la vente consultative dans le secteur Industries pour accélérer la croissance du chiffre d'affaires, tout en développant une équipe d'AE très performante. En étroite collaboration avec les équipes Applied AI Engineering et Produit, vous aiderez les clients Industries à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans l'ensemble de leurs activités. En collaboration avec les équipes GTM et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles des grandes entreprises et apportent une valeur différenciée sur l'ensemble du secteur Industries. Le profil idéal a à cœur de faire grandir ses équipes, de repérer les opportunités de marché au sein du secteur Industries et de mettre en œuvre les stratégies qui permettent de les saisir. En pilotant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : Constituer et diriger une équipe très performante d'Enterprise Account Executives dédiée au secteur Industries, en lui apportant coaching, mentorat et accompagnement pour assurer sa réussite Élaborer et mettre en œuvre des stratégies commerciales adaptées aux cycles d'achat et aux processus budgétaires du secteur Industries, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires de l'équipe Établir et tenir à jour des prévisions fiables, assurer la gestion du pipeline et le reporting, tout en garantissant l'intégrité des données dans les systèmes CRM Travailler avec l'équipe Enablement pour concevoir des programmes de formation et des ressources qui accélèrent la montée en compétence et l'efficacité des AE, avec une attention particulière aux cycles d'achat et aux processus de décision du secteur Industries Collaborer étroitement avec les équipes Applied AI Engineering pour démontrer les capacités techniques en avant-vente et optimiser les solutions en après-vente pour les applications propres à chaque secteur Permettre à votre équipe de mener des échanges techniques crédibles sur les applications de l'IA dans le secteur Industries, dans le respect des garde-fous appropriés Nouer des partenariats solides au sein de l'organisation pour faire avancer les initiatives stratégiques du secteur Industries Identifier et concrétiser de nouvelles opportunités de marché et de nouveaux cas d'usage pour les solutions d'IA d'Anthropic au sein des directions métiers, des centres de recherche et développement et des fonctions support Aider votre équipe à naviguer dans des écosystèmes complexes de parties prenantes au sein des grandes entreprises (direction générale, directions métiers, DSI et services achats) afin de construire un consensus Recueillir et synthétiser les retours des clients pour éclairer l'orientation produit et améliorer l'expérience client du secteur Industries Construire et affiner en continu la méthodologie de vente Industries en intégrant les enseignements dans des playbooks et des bonnes pratiques Ce poste pourrait vous correspondre si vous avez : Au moins 15 ans d'expérience en vente aux grands comptes dans les technologies pour le secteur Industries, de préférence dans l'adoption de solutions SaaS ou de technologies émergentes Au moins 5 ans d'expérience en management commercial, dont idéalement 3 ans ou plus à la tête d'équipes du segment Enterprise dédiées au secteur Industries en France Une expérience confirmée de la constitution et de la direction d'équipes commerciales très performantes vendant aux grandes entreprises, avec des réussites avérées dans le coaching et le développement des AE Une expérience de la mise en place et du déploiement à grande échelle de processus, d'outils et de méthodologies de vente dans des organisations en forte croissance au service du secteur Industries Une solide culture technique et la capacité à comprendre des solutions d'IA complexes et leurs applications dans le secteur Industries, ainsi que l'habitude de préparer vos équipes à mener des échanges techniques crédibles avec les parties prenantes côté client Une expérience réussie de la collaboration avec les équipes techniques tout au long du parcours client au sein de grandes entreprises Une connaissance approfondie des cycles d'achat, des cadres de passation des marchés et des principales problématiques du secteur Industries Une capacité avérée à piloter des cycles de vente complexes impliquant de multiples interlocuteurs et des parties prenantes variées, et à mener des initiatives transverses Une expérience de la gestion de cycles de vente complexes aux grands comptes et de l'accompagnement des AE dans la conclusion de contrats stratégiques Une grande rigueur opérationnelle dans la gestion du pipeline, les prévisions et les indicateurs commerciaux propres aux cycles de vente du secteur Industries D'excellentes compétences en communication et la capacité à nouer des relations à tous les niveaux, des équipes techniques et métiers jusqu'aux membres de la direction du secteur Industries Une approche stratégique de l'analyse de marché, alliée à une exécution tactique irréprochable Un intérêt marqué pour les technologies d'IA et un engagement en faveur de leur développement sûr et responsable 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. 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: Paris, France 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. À propos du poste En tant que leader de deuxième niveau pour l’équipe Applied AI Industries en Europe du Sud et au Moyen-Orient chez Anthropic, vous piloterez l’adoption d’une IA de frontier en partenariat avec le reste de l’organisation de mise sur le marché. Nos clients Industries en France, Ibérie et Italie incluent de nombreuses plus grandes entreprises de la région dans les services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail, énergie et autres secteurs. Vous mettrez à profit votre expérience de construction et de direction d’équipes de vente technique pour piloter une transformation IA positive qui répond aux besoins métier de nos clients, satisfait à leurs exigences techniques et réglementaires, et offre un haut degré de fiabilité et de sécurité. Vous serez responsable de la direction et de la croissance de l’équipe d’architectes de solutions qui partenaire avec les directrices et directeurs de compte pour aider les entreprises à adopter et déployer les produits d’Anthropic, notamment Claude Cowork, Claude Code et la Plateforme de Développement Claude (notre API). Cela inclura l’utilisation de vos compétences techniques et votre expérience de vente consultative pour recruter d’excellentes personnes en première ligne de management et contributeurs individuels, établir des processus pour évoluer votre équipe, et représenter Anthropic directement dans les engagements clients stratégiques. Votre équipe couvre plusieurs pays et secteurs à la fois, vous serez donc responsable de la réflexion stratégique sur les comptes d’industrie complexes et de l’identification et du déploiement de solutions qui résonnent dans chaque marché, avec sa propre langue, sa culture métier et son contexte réglementaire. Responsabilités Recruter, manager et guider une équipe de managers de première ligne qui construiront à leur tour des équipes d’Applied AI Architects (H/F) de pré-vente en France, Ibérie et Italie Définir les objectifs de votre équipe en collaboration avec le leadership commercial et établir les attentes de performance de base sur votre équipe Agir en tant que sponsor technique et exécutif pour les clients stratégiques de haute valeur dans la région et les conseiller sur leurs stratégies globales d’adoption de l’IA ou la délimitation des cas d’usage et l’exécution de pilotes Collaborer étroitement avec le leadership commercial d’Europe du Sud (couvrant également le Moyen-Orient et l’Afrique) pour construire des stratégies pour les comptes d’industrie complexes et identifier de nouvelles façons de piloter l’adoption des produits Anthropic dans des secteurs verticaux spécifiques ou des cas d’usage horizontaux Aider les clients à naviguer dans les exigences réglementaires locales et européennes (par exemple, la Loi sur l’IA de l’UE, le RGPD, DORA et les attentes de résidence des données) et adapter la façon dont votre équipe s’engage à la culture métier de chaque marché Travailler avec des équipes interfonctionnelles comme le produit et l’ingénierie pour assurer qu’Anthropic priorise les commentaires des clients ou résout les obstacles à l’adoption dans la région Voyager régulièrement en Europe du Sud pour les clients ou conférences pour des sessions de haut niveau, des ateliers techniques et la construction de relations Établir une vision commune pour créer des solutions qui permettent une IA bénéfique et sûre dans les produits technologiques Contribuer à la pensée stratégique par des présentations en conférences, des webinaires et la création de contenu technique Rester au courant des tendances émergentes en IA et du paysage concurrentiel Ce profil est un bon ajustement si vous : Avez 7+ ans d’expérience en gestion de pré-vente technique, incluant un leadership de deuxième niveau ou supérieur (direction de managers) Avez vendu des produits techniques complexes aux grandes entreprises en France, Ibérie, Italie, Moyen-Orient et Afrique Avez travaillé dans plusieurs secteurs, tels que services financiers, santé et sciences de la vie, fabrication, télécommunications, commerce de détail et énergie Comprenez les différences culturelles entre les marchés d’Europe du Sud et le contexte réglementaire dans lequel opèrent vos clients, et adaptez votre approche à chacun Pensez de façon hautement stratégique aux comptes d’industrie complexes et transformez cette réflexion en plans que votre équipe et vos homologues commerciaux peuvent exécuter Avez une profonde maîtrise technique des cas d’usage IA en entreprise, des intégrations d’API et des déploiements LLM Prospérez dans la construction et l’évolution rapide d’équipes et de processus dans des environnements ambigus et mouvants Ayez d’excellentes compétences en communication, collaboration et coaching Ayez une présence exécutive forte et la capacité à cultiver des relations profondes avec les leaders métier et technique des plus grandes entreprises de la région Ayez au moins une familiarité de haut niveau avec l’architecture et le fonctionnement des LLM Ayez une passion pour rendre les technologies puissantes sûres et bénéfiques pour la société Restiez à jour et informée en vous intéressant activement à la recherche émergente et aux tendances du secteur en IA Les candidates et candidats solides pourraient avoir : Leadership de pré-vente d’entreprise à grande échelle : 5+ ans de direction d’équipes d’architectes de solutions à travers une hypercroissance (idéalement des dizaines de personnes dans plusieurs pays), avec expérience directe de direction de managers et développement de talents dans des environnements de vente de logiciels d’entreprise complexes Gamme multilingue et multiculturelle : En plus de l’anglais, maîtrise d’une ou plusieurs langues parmi le français, l’italien, l’espagnol ou le portugais, et expérience de direction d’équipes distribuées dans plusieurs pays Expérience avec les modèles commerciaux basés sur la consommation : Les candidats idéaux ont construit des cadres GTM ancrés sur la consommation, pas seulement sur les licences basées sur SaaS Profondeur technique en IA + Engagement exécutif : Expérience pratique avec les plateformes d’IA et les modèles d’intégration d’entreprise, combinée à un historique avéré d’engagement des parties prenantes au niveau C dans des évaluations techniques de 10 M€+ et des cycles de vente d’entreprise Expérience GTM multi-secteurs dans les secteurs réglementés : Succès démontré dans l’adaptation des approches techniques à différents secteurs verticaux, en particulier les secteurs réglementés tels que la banque, les assurances et la santé, y compris le travail avec les parties prenantes en matière de risque, de conformité et de comité d’entreprise About the Role: As the 2nd-line leader for the Applied AI Industries team in Southern Europe and the Middle-East at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Industries customers in France, Iberia and Italy include many of the region's largest enterprises across financial services, healthcare and life sciences, manufacturing, telecom, retail, energy, and other sectors. You'll leverage your experience building and leading technical sales teams to drive positive AI transformation that addresses our customers' business needs, meets their technical and regulatory requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the solutions architect team that partners with account executives to help companies adopt and deploy Anthropic's products, including Claude Cowork, Claude Code, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great 1st line managers and individual contributors, establish processes to scale your team, and represent Anthropic directly at strategic customer engagements. Your team covers several countries and industries at once, so you will be responsible for thinking strategically about complex industry accounts and for identifying and rolling out solutions that resonate in each market, with its own language, business culture, and regulatory context. Responsibilities: Hire, manage, and guide a team of 1st line managers who will in turn build teams of pre-sales Applied AI Architects across France, Iberia and Italy. Set goals for your team in collaboration with sales leadership and establish baseline expectations for performance across your team. Act as a technical and executive sponsor for high-value strategic customers in the region and advise them on their overall AI adoption strategies or use case scoping and pilot execution. Partner closely with Southern Europe sales leadership (also covering the Middle-East and Africa) to build strategies for complex industry accounts and identify new ways to drive adoption of Anthropic products within specific verticals or horizontal use cases. Help customers navigate local and European regulatory requirements (for example the EU AI Act, GDPR, DORA, and data residency expectations) and adapt how your team engages to the business culture of each market. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption in the region. Travel regularly across Southern Europe to customers or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the competitive landscape. You may be a good fit if you: 7+ years of technical pre-sales management experience, including 2nd-line leadership or above (leading managers). Have sold complex technical products to large enterprises in France, Iberia, Italy, the Middle-East and Africa. Have worked across multiple industries, such as financial services, healthcare and life sciences, manufacturing, telecom, retail, and energy. Understand the cultural differences between Southern European markets and the regulatory context your customers operate in, and adapt your approach to each. Think highly strategically about complex industry accounts, and turn that thinking into plans your team and sales counterparts can execute. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with business and technical leaders at the region's largest companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally dozens of people across several countries), with direct experience leading managers and developing talent in complex enterprise software sales environments. Multilingual and multicultural range: In addition to English, fluency in one or more of French, Italian, Spanish or Portuguese, and experience leading teams distributed across several countries. Experience with consumption business models: Ideal candidates have built GTM frameworks anchored on consumption, not just SaaS-based licenses. AI Technical Depth + Executive Engagement: Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in €10M+ technical evaluations and enterprise sales cycles. Multi-industry GTM experience in regulated sectors: Demonstrated success adapting technical approaches to different verticals, in particular regulated ones such as banking, insurance, and healthcare, including working with risk, compliance, and works council stakeholders. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities Lead the revenue close for cloud service provider Marketplace within a listed company timeline. Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. Perform monthly and quarterly flux analysis and prepare flux decks for leadership. Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. Serve as the primary contact for external auditors. Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. Estimate and document reserves, including credit loss (ASC 326). Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. Have managed external partner relationships where you depended on their data, and pushed for fixes. Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. Have designed or operated SOX controls and supported external audits. Communicate clearly with accounting, finance, business and engineering teams. Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). Experience with usage-based and subscription revenue models. Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. Experience with IPO readiness. Experience using AI tools to automate accounting and reporting work. 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: $190,000 — $230,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm Run the annual goal setting process and the reporting that tracks progress against those goals. Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. Own planning and agenda for the annual offsite and run the quarterly team all-hands. Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org. People and culture Coordinate projects across the org that support employee experience programs. Partner with the People team to roll out training and development programs for Accounting. Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team. Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team. Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs. Team operations Support contractor management, including onboarding, tracking, and coordination with the right partners. Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs. Keep the team calendar accurate so everyone knows what's coming. Preferred qualifications 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required. A track record of running recurring programs end to end and getting people to follow through without formal authority. Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them. Clear, direct writing. You can brief a senior leader in a few sentences. Comfort with confidential information and sensitive people topics. Experience supporting distributed or global teams. You're organized, but you also know when a process is getting in the way and should be simplified. 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: $230,000 — $300,000 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. 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: Tokyo, Japan 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 Join Anthropic's Customer Success team as one of the founding members of our Japan Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan, helping them harness the full potential of all our Claude capabilities: API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives. You'll work closely with them to provide best practices and guidance, and support them as their usage (consumption and seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies. That makes you a key voice in shaping how we build and deliver ongoing value as a business. As one of the founding members of our Customer Success team in Japan, you'll help shape how we build the function in-region. That includes establishing regional processes, developing new customer relationships, and representing Anthropic's brand in a high-growth market alongside a small, growing team. You'll operate with significant autonomy while maintaining strong alignment with global teams. This requires someone who thrives in ambiguous environments and can work effectively across time zones. Key responsibilities Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption and adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness of new products, and engaging Product PMs as the voice of Japanese customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle: manage comprehensive account and success plans grounded in the customer's business objectives, conduct Quarterly Business Reviews, and serve as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as part of our founding in-region CS team, developing Japan-specific processes, playbooks, and best practices where needed that account for regional business cultures Minimum qualifications Experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Fluency in English and Japanese Preferred qualifications 6+ years of experience in relevant field Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player 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. 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: Warsaw, Poland Duties: Blue Projects’ Project Delivery & Engineering team is looking for a Process Engineer to join our team in Warsaw. About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. We are seeking a Process Engineer to support engineering and project delivery activities, ensuring effective design, coordination, and execution of technological projects throughout their full lifecycle. Role Overview The Process Engineer supports project teams by contributing to engineering design, coordinating with multiple stakeholders, and ensuring efficient project execution. The role involves active participation across all project stages, including planning, design, implementation, and change management, while maintaining clear communication and proper documentation flow. Job Description Collaborate with project teams to provide support and supervision for technological projects. Assist the engineering department in developing projects in accordance with customer requirements. Participate in design activities, project supervision, and implementation throughout the full project lifecycle. Contribute to the preparation of project schedules and budgets. Work closely with other departments involved in project execution to ensure alignment. Ensure proper flow of project documentation and effective communication. Support and manage project changes as required. Maintain availability for travel or relocation based on project needs. Bachelor’s degree in a technical field such as mechanical, production, or process engineering, or a related discipline. Proficiency in 3D design using AutoCAD and Autodesk Inventor. Minimum of 3 years of experience in process engineering. Fluent English skills, both written and spoken. Proficiency in Microsoft Office applications. Fluent English and Polish language, both written and spoken. Proficiency in Microsoft Office applications. Strong written and verbal communication skills, with the ability to interact effectively with stakeholders at all levels. Excellent problem-solving abilities and strong organizational skills. Production experience and knowledge of FMCG manufacturing processes are considered an advantage. oviding support and supervision for technological projects. Support for the engineering department in developing projects according to customer requirements. Assistance in design, project supervision, and active participation in implementation (engagement in the project throughout its entire cycle). Contribution to the preparation of schedules and budgets. Collaboration with other departments involved in project implementation. Ensuring proper flow of project documents and communication. Change management. Availability to travel or relocate as per the needs of the projects. Qualifications: Higher technical education (mechanical, production engineering, process engineering; or related fields). 3D Design in AutoCAD and 3D  Inventor. 3+ years experience in process engineering. Proficiency in English enabling fluent communication both orally and in writing. Proficiency in using MS Office. Strong communication skills, both written and verbal, with the ability to communicate with colleagues and contractors at all levels of the organization. Excellent problem-solving skills and very good organizational abilities. Preferred: Production experience and specific knowledge of manufacturing processes related to the FMCG industry. Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. ________________________________________ About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. ________________________________________ How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role & impact As an Engineering Manager in our Machine Learning & AI team, you'll lead a high-performing, inclusive team of engineers building and operating AI-powered experiences and capabilities across Xero. The team's work spans traditional machine learning, from predictive models and intelligent automation through to LLM-powered and agentic AI experiences that bring new ways for customers to interact with and get value from Xero. - You'll lead engineering across a broad range of technology surfaces, from customer-facing AI experiences and intelligent product workflows to the backend services, platforms and infrastructure that power them. You'll help turn research, models and emerging AI capabilities into reliable, secure and scalable production products that make a real difference for millions of small businesses. - You'll balance predictable delivery with a relentless focus on engineering quality and system health, building our maturity across MLOps, LLMOps, observability, evaluation and the operational practices needed to run AI systems in production. As AI continues to evolve, you'll also champion AI-native engineering practices and help your team adapt how we design, build, test and operate software. - Working closely with senior individual contributors, including staff and principal engineers, you'll help shape technical direction while focusing on team growth, delivery excellence and sustainable engineering practices. This is a role for someone who wants to build both the systems and the people that enable Xero to deliver AI-powered products at scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team partners closely with Applied Science, Data Engineering, Product and other engineering teams to bring AI capabilities from research and experimentation into production. Our scope goes beyond building and serving models. We build the end-to-end engineering capabilities that bring AI to life in Xero's products, spanning traditional ML-powered automation and predictions, conversational AI assistants, LLM-powered workflows and agentic experiences. This means working across the full stack, integrating AI into customer experiences and product workflows while building the front end & backend services, platforms and infrastructure needed to make those experiences safe, reliable and scalable. It's a collaborative, evolving space where you'll help translate advances in ML and generative AI into practical customer outcomes, while building the engineering foundations to support the next generation of AI-native products. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work. Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You'll have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role - You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work. - You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape. - You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability. - You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change. - You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure. - You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge. - Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Junior Compliance & AML Officer to join our team to monitor and ensure compliance with all applicable laws, regulations, and standards. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development. Join the Tigers! What does the job look like? The Junior Compliance & AML Officer will have the opportunity to: Monitor the activities of the Company's, including websites, customer communications, live chats, marketing materials, and operational processes, to identify and address potential compliance issues. Maintain up-to-date knowledge of relevant regulatory requirements and provide practical compliance advice and guidance to internal departments. Support client onboarding by conducting Know Your Customer (KYC) checks, Anti-Money Laundering (AML) screening, due diligence, and risk assessments. Review and investigate alerts relating to potentially suspicious activity and escalate cases to the Anti-Money Laundering Compliance Officer (AMLCO), where appropriate. Assist in developing, reviewing, and maintaining internal compliance policies and procedures, including the Anti-Money Laundering (AML) Manual. Assist with regulatory enquiries and requests, internal audits, and ad hoc compliance reviews across the Group. Support the delivery of staff training and provide guidance on AML/CFT risks, obligations, and awareness. Provide ongoing day-to-day compliance support to internal stakeholders, ensuring a sound understanding of applicable regulatory obligations and best practices. Perform any other ad hoc compliance and AML-related duties as assigned by the Head of Compliance or Senior Management. What will you need to be able to do the job? Academic background in Law, Business, Finance, Economics, or a related field. At least one year of relevant professional experience is required. CySEC certification will be considered an advantage. Candidates who do not currently hold the relevant certification but demonstrate a strong willingness to learn and develop will be supported by the Company in obtaining the AML and/or Advanced CySEC certification. Strong work ethic, with the ability to take initiative, work proactively, and demonstrate a high level of responsibility. Fluency in both Greek and English, with excellent verbal and written communication skills. Excellent presentation skills and the ability to communicate information clearly and effectively. Ability to work independently while also contributing effectively as part of a team. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. What to expect from our recruitment process: First interview with TA and Head of the Department Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis