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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Support the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release Support and improve the discovery technology stack including RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces Partner with discovery team, in-house counsel, outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path Improve and support the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status Minimum qualifications Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor A track record of supporting complex discovery operations functions Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, AI/TAR workflows, custom application development, and AI workflows Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows Experience operating discovery across modern enterprise data sources Slack, Google Workspace, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders Preferred qualifications 6+ years of hands-on discovery experience across the full EDRM lifecycle Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools Hands-on integration of generative AI and agentic workflows (e.g., Claude, Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment 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: $170,000 — $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Madrid, Spain; Barcelona, Spain; València, Spain Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Spain Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: New York City, NY; 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. We are seeking an experienced Program Manager for a critical pillar of our Program Management function: Commercialization. This role will transform our commercial infrastructure into a revenue accelerator, building and executing the operational leverage that enables Anthropic to maintain velocity as we scale. You'll be responsible for managing and enhancing processes that support rapid product growth. The ideal candidate combines strategic thinking with operational excellence, someone who can both envision where we need to be in 12 months and build the infrastructure to get us there. Responsibilities Play a central role on the team that runs Anthropic's programs for Commercial Launches — helping evolve an established launch motion into a scalable, well-instrumented program that keeps pace with an accelerating product roadmap Run launches end-to-end through the Commercial launch process: lead intake and scoping for your portfolio of launches, translate each into its commercial-readiness requirements (pricing, billing, tax, marketplace, compliance and selling motions), and collaborate with product teams to develop paths to launch Identify where launches slow down today and drive resolution to prevent them from recurring: propose and implement process and system changes, clarify ownership, drive completion across partner teams like, Product, Engineering, Finance, Legal, and GTM. Build specific program components that don't exist yet — launch tiering, readiness criteria, playbooks, templates, SLAs; and develop training that shifts programs from late-stage gatekeeper to early-stage partner Take ownership of major program-improvement workstreams such as instrumentation (pipeline visibility, readiness scorecards, guides, throughput and cycle-time metrics) or workflow tooling and automation (intake, tracking, approvals, status) in partnership with Engineering and systems teams Work cross-functionally with Product, Engineering, Finance, and GTM teams to design clear interfaces and processes that span multiple teams You may be a good fit if you have Experience building and running new product introduction processes Experience building capabilities and solutions that enable launching in new ways, from pricing to geographies 10+ years of experience in operations, with demonstrated success in billing, payments, or commercial operations (high-volume SaaS experience a plus) Strong working knowledge of billing systems, subscription management, and payments platforms Proven track record of building and scaling operational programs in high-growth environments — taking things from 0-1 and then scaling beyond Willing to roll up your sleeves and do the operational work of building while also leading a team Experience with automation initiatives and partnering with engineering teams to build operational tooling Strong analytical abilities, problem-solving skills, and the ability to demonstrate ROI on operational programs Excellent cross-functional collaboration skills with the ability to influence stakeholders across GTM, Finance, Product, and Engineering Adaptability and comfort working in fast-paced, ambiguous environments where you need to balance multiple priorities simultaneously Excitement about building the operational backbone that enables Anthropic to stay on the exponential 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 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how the world's leading professional services organizations work with AI. Security is fundamental to that mission: our customers include some of the world's largest and most sophisticated enterprises, and they expect Harvey to be a leader not only in AI, but in how AI can be deployed securely. We're looking for an Advisory CISO based in New York City to serve as a senior security leader at the intersection of our customers, go-to-market organization, and engineering teams. Reporting directly to Harvey's CISO, you'll represent Harvey's security strategy with CISOs and other technology leaders across the region. You'll partner closely with Sales and Customer Success on strategic opportunities, helping customers understand how Harvey approaches security, AI risk, architecture, and deployment. Just as importantly, you'll bring what you learn from those conversations back into Harvey, working with Security, Product, and Engineering to influence our roadmap and ensure we're solving the security problems that matter most to our customers. This isn't a traditional sales engineering or compliance role. We're looking for an experienced security leader who can move comfortably between a customer CISO conversation and a technical discussion with Harvey's engineers. WHAT YOU'LL DO - Serve as a trusted security advisor to CISOs, CIOs, and technology leaders at Harvey's customers and prospects across the region. - Partner with GTM leadership on strategic opportunities where security, architecture, AI risk, or customer trust are critical to adoption. - Work directly with Harvey's Security, Product, Legal and Engineering teams to translate customer requirements and emerging risks into product and security priorities. - Develop and communicate Harvey's point of view on securing enterprise AI, including architecture, deployment models, data protection, identity, AI security, and emerging threats. - Represent Harvey externally through executive briefings, customer forums, industry events, and security thought leadership. - Help Harvey anticipate how regional and industry-specific regulatory, security, and data requirements will shape enterprise AI adoption. WHAT YOU HAVE - You have operated as a CISO, Deputy CISO, senior security executive, Field CISO, or similarly senior technical security leader in a sophisticated technology environment. You have enough technical depth to engage credibly with security architects and engineers, but can also advise executives and navigate complex enterprise buying decisions. - You've built or operated real security programs and understand how modern software and cloud platforms are secured. Experience with AI security, enterprise SaaS, regulated industries, or complex enterprise technology environments is particularly valuable. - Most importantly, you're a builder and advisor. You can establish credibility with a customer, identify what their concerns reveal about the market, and turn those insights into action across GTM, Security, Product, and Engineering. COMPENSATION $272,000 - $374,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: Can our core research workflows survive extreme isolation? Can we replace trust with cryptographic guarantees? Can the models themselves become our most effective security control? What would it actually take to defend against a tier-1 state adversary, and how much of that can we build now? Who we're looking for. We're hiring generalists with rare depth. You're a strong software engineer as a baseline, and on top of that you've gone deep in at least one area most engineers don't get near: firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods, reverse engineering, or high-assurance and cross-domain systems. You've built things under your own direction, you're comfortable jumping layers when the problem demands it, and you'd rather take a swing at something that might not work than ship the safe incremental thing. You think the trajectory of AI matters a great deal, you're not comfortable with how the security side of it is going by default, and you'd rather be on the inside building the answer than watching from outside. Current Project Areas The portfolio changes as we learn. The kinds of bets currently in flight or queued: Standing up a prototype high-assurance research cluster: running real Anthropic training and research workloads under extreme isolation and physical security controls, and finding out exactly where productivity breaks and what we'd need to invent to get it back Provable inference: cryptographic verification (zero-knowledge proofs, attestation chains) that a given output came from a specific model running specific code, replacing "trust us" with math Build hypervisor-isolated microVM workload isolation across the fleet Compiling an ML kernel through a formally verified pipeline where every lowering step carries a machine-checked proof of equivalence, making compilation-layer sabotage mathematically detectable Regenerating clusters: automation that spins up a purpose-built cell, runs a workload, and tears the whole thing down on a TTL measured in hours, so attacker persistence has an expiry date Using Claude itself to drive security work end to end: threat modeling new compute platforms, rewriting critical services to zero external dependencies, running the test equipment that validates what hardware datasheets claim Part of your job is deciding what comes next. We hire people we trust to pick good bets, and project selection is owned by the engineers doing the work. Key responsibilities Own Security Labs projects end to end. You'll scope the bet, build the prototype, run it against real workloads, and bring it to either a hand-off or a documented exit Stand up novel security infrastructure fast (isolated clusters, attestation chains, hypervisor and runtime work, verification tooling) optimizing for what we learn rather than for permanence Find the receiving team early, bring them along while you build, and hand them something they actually want to own Work embedded with research and infrastructure teams (Pretraining, RL, Inference, Compute) to test whether their workflows survive what you're proposing, and document precisely where they don't Turn experimental results into short writeups that shape Anthropic's long-term security architecture, and into costed contingency plans we could execute on short notice Help pick the next round of bets and influence the industry to get better along the way Minimum qualifications Genuinely care about where AI is heading and want to work on the security problems that determine whether it goes well. This is the most important thing on this list Have real depth in at least one area most software engineers don't touch (e.g. firmware or hardware security, applied cryptography, OS / kernel / hypervisor internals, formal methods and verification, reverse engineering and exploit development, or high-assurance / cross-domain systems) Have built and shipped things under your own direction. Maybe you founded a company or research group, maintained an open-source project other people depend on, or shipped research that changed how people in your field work. We weight this far more than where you've worked or for how long Have a track record of choosing the problem yourself and seeing it through, rather than only executing a plan someone else handed you Are comfortable jumping between domains and layers of the stack when the problem calls for it, and have actually done so Have run prototypes or experiments where the goal was answering a hard question rather than shipping a permanent system, including ones that didn't pan out Write clearly enough to turn weeks of work into a couple of pages someone can act on Change your mind when the evidence says to, and are fine being the least-expert person in a room full of specialists Care about defense. Plenty of folks here come from offense and that background is valuable, but what you actually want to spend your time on now is making systems hold up Are a strong programmer (Python plus at least one of Rust, Go, or C/C++) and can stand up real infrastructure without that being the interesting part of your week Preferred qualifications Experience inside airgapped or high-side environments (classified networks, cross-domain solutions, ICS/SCADA, financial trading infrastructure) and the operational realities of working in them A background in offensive security, red teaming, or vulnerability research, with calibrated intuitions for which threats actually matter Familiarity with ML infrastructure (training pipelines, distributed schedulers, inference serving, accelerator hardware) sufficient for grounded conversations with researchers about what their workloads actually need A history of working in environments built around rapid iteration rather than rigid change control: startups, applied research groups, independent consulting, small security shops The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that  secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight Build and operate the zero-trust access gateway that fronts Anthropic's internal services Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls Own cryptographic frameworks and libraries Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic Minimum qualifications 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently Strong programming skills in Go, Rust or Python Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control Hands-on experience with PKI, X.509, mTLS and workload identity Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams A strong sense of developer experience Clear communication across all levels of the organization Passion for AI safety and the role security engineering plays in building trustworthy AI systems Preferred qualifications Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement Maintained or contributed to open-source cryptographic libraries Designed authorization systems using policy languages or relationship-based models Familiarity with ML infrastructure (training, inference serving) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 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, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them. About the role You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current. You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop. This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it. Key responsibilities Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record Minimum qualifications Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from Ability to get partner teams to prioritize and close compliance work without authority over them Preferred qualifications Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection Hold or are eligible for a US security clearance Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS You don't need to Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query and challenge Hold every certification. CISSP, CISA, CGRC or similar are welcome and 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the 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. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. 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 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns 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: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Los Angeles, CA Workplace: onsite About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ About the Role   We are looking for a hungry, energetic Partner Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on building Spin.ai's partner network - initially focusing on the Google Workspace partner ecosystem, then growing into security-specific partnerships. You will help sell Spin.ai's recently acquired industry leader in Google Workspace Security, DoControl, as well as Spin.ai's growing Browser Security solution, combining the two into a powerful, best-of-breed security offering. With the foundation already built - working with leading GWS partners such as SADA, Pythian, and Wursta - we're looking for someone who can take over the running motion and, most importantly, push it to the next level with their knowledge and expertise. What You'll Do: Partner Sourcing Identify net-new Google Workspace and security resellers to work with, and book intro meetings to communicate joint value Attend local and global events to grow and maintain relationships, representing Spin.ai as a leading Google Workspace DLP and Browser Security solution Work with the VP of Sales and Account Executives to schedule initial account-mapping sessions and start driving joint pipeline Complete and sign relevant reseller agreements, and negotiate and confirm margins Partner Deal Sourcing Work with the partner sales team and Spin.ai 's sales team to build joint pipeline - this includes writing emails for partner reps to send to their customers, following up on those threads, and creating slides for their recurring customer calls Enable the partner sales team to effectively position and sell Spin.ai security solutions through weekly 1:1 account mappings and the materials listed above Stay involved as needed from deal sourcing through closed-won to ensure strong engagement from both sides and a successful outcome for all parties Partner Relationship Management Partnerships are a relationship game - maintain key relationships across all major partners to keep Spin.ai top of mind and seen as a trusted partner This includes weekly 1:1s with key reps, traveling for lunches, dinners, and events, and staying in regular, informal contact (text) Market Expertise Maintain deep knowledge of the Google Workspace DLP and Browser Security space Understand Spin.ai's differentiators and know every competitor inside and out Fluently pitch the combined DLP + Browser Security solution, with the ability to sell each individually or jointly as needed Ask the right discovery questions to effectively communicate joint value in partner intro meetings What You Bring: Google Workspace Partner Experience: 3+ years of experience successfully working and selling within the Google Workspace partner ecosystem (SADA, 66degrees, Pythian, etc.) Domain Knowledge: Strong understanding of DLP and Browser Security Security Partner Experience: Google Workspace is the primary focus, but you also have the drive and ability to grow into building security-specific partnerships (Optiv, etc.) Positive Attitude: A mindset focused on positivity and finding ways to do more, every day Grit and Drive: Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects What We Offer: $300k OTE plus Uncapped Commissions Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.   EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.  View The EEO is the Law poster and its supplement.    Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.

Location: Los Angeles, CA Workplace: onsite About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ About the Role We are looking for a hungry, energetic Regional Sales Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on selling Spin.ai's industry-leading Browser Security solution - a fast-growing market - as well as its recently acquired, best-of-breed SaaS DLP solution, DoControl. This role centers on cutting-edge security, combining top-tier SaaS-level DLP and Browser Security capabilities into a solution no other vendor in the market is able to match. This is a net-new-logo role focused on the Mid-Market/Enterprise space, with an average deal size of $100,000. What You'll Do: Pipeline Creation Work with the VP of Sales and Partner Manager to source deals through our growing partner network - Optiv, Defy, and others Build market awareness by attending trade shows, building relationships, and following up relentlessly Partner with Marketing and the SDR team on strategic, focused outbound and inbound management efforts Deal Management Drive deals from sourcing to closed-won, including discovery, demos, and Proof-of-Value (POV) execution, negotiations, and procurement Multi-thread accounts and build relationships from the executive level down to ensure deal alignment and success Partner with the Principal Solutions Engineer to deliver effective, relevant demos and POVs Align internal teams as needed to support account success - product requests, financial approvals, etc. Market Expertise Maintain deep knowledge of the Browser Security and DLP space Understand Spin.ai's differentiators and know every competitor inside and out Fluently pitch the combined Browser + DLP solution, with the ability to sell each individually or jointly as needed Ask the right discovery questions to uncover each prospect's real challenge Partner with Product to provide feedback on where we can continue to improve and enhance the solution Keep Salesforce up to date and maintain a clean, accurate forecast, fulfilling MEDDPICC requirements to ensure each deal is properly qualified, with gaps identified and resolution paths in place What You Bring: Cybersecurity Experience: A proven track record successfully selling enterprise deals ($100K+) for 3+ years, with consistent quota attainment Domain Knowledge: Strong understanding of the Browser Security and DLP space, ideally with experience selling similar products Partner Experience: A track record of selling with and through channel partners in the cybersecurity space Positive Attitude: A mindset focused on positivity and finding ways to do more, every day Grit and Drive: Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects What We Offer: $300k OTE plus Uncapped Commissions Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.   EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.  View The EEO is the Law poster and its supplement.    Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.

About the Job We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. This is a leader-of-leaders role: you'll set operating standards and KPIs, develop your Supervisors into stronger people managers, and drive the efficiency, quality, and retention gains that let the function scale with the business. If you think in systems, lead through others, and measure what matters, this role is for you. This role requires on-site work at our Tualatin, Oregon office during initial training, after which the position is eligible for remote work. The ideal candidate will have experience managing a remote team distributed across multiple time zones. Responsibilities Leadership & Team Development: — Lead and develop a team of Processing Supervisors, setting clear expectations and cascading department goals to their frontline teams — Coach Supervisors through regular one-on-ones, performance reviews, and development plans that build their leadership capability — Own staffing strategy, capacity planning, and workload balancing across shifts and queues, holding Supervisors accountable for day-to-day execution — Drive engagement and retention through succession planning, career pathing, and recognition — reducing turnover in a high-volume processing environment — Set the culture for the department — collaborative, accountable, and customer-focused. — Partner with HR on employee relations and performance management escalations Operational Strategy & Efficiency: — Set and continually monitor service level targets and operating standards for the department, and hold Supervisors accountable to them — Own the efficiency roadmap for the function — redesign workflows, eliminate rework, and evaluate automation and tooling opportunities to increase throughput per employee without sacrificing accuracy Performance, Metrics & Reporting: — Define the KPI framework for the department — throughput, accuracy, turnaround time, cost per document — and the reporting cadence behind it — Analyze trends across queues, response times, and productivity to forecast volume and reallocate capacity ahead of demand Process & Compliance: — Own the department's SOP library and control environment, ensuring adherence to company policy and client compliance standards — Keep documentation and process controls audit-ready for internal and client reviews — Sponsor implementation of new tools, systems, and procedures — from business case through Supervisor and team adoption — Partner cross-functionally with Product, Support, and Client Success to fix upstream causes of processing volume and exceptions — Additional responsibilities as assigned Qualifications What You Bring: — Proven ability to lead through others — experience managing supervisors or team leads, not only individual contributors — Analytical and data-driven — comfortable building KPI frameworks, reading operational data, and making staffing and process decisions from it — A track record of measurably improving efficiency, quality, or retention in a high-volume operation — Change management skills — able to roll out new tools and processes and win adoption at both the Supervisor and frontline level — Insurance, compliance, or credentialing domain knowledge is a plus — Strong written and verbal communication, including presenting performance and recommendations to senior leadership Requirements: — Bachelor's degree or equivalent professional experience — 5+ years in document processing, operations, or a shared-services environment, including 2+ years managing people leaders NetVendor Benefits Package: — Medical, dental, and vision insurance — HSA, FSA, and DCFSA — Long- and short-term disability insurance — Company-paid standard life insurance — Generous paid time off policy — Paid holidays: 7 per year + 1 floating holiday — Maternity Leave — 401(k) with company match — Employee Assistance Program

Location: Torrance, United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow Client's engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, an driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. RESPONSIBILITIES Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping, and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. COLLABORATION Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. BASIC QUALIFICATIONS Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). PREFERRED SKILLS AND EXPERIENCE Programming Expertise : Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors and microcontrollers (e.g., PowerPC, x86, ARM). TECHNICAL SKILLS Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role. Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most. Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact. Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment. Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic. Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share. Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value. Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account. Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through. Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers. Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers. Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements. You may be a good fit if you have 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager. 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply. Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment. Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly. Strong programming skills with proficiency in Python or TypeScript and experience building production applications. A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps. Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery). The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems. A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity. Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong candidates may also have Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role. Experience with marketplace, embed/OEM, or co-sell motions. Prior forward-deployed engineering leadership. Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions. Experience coaching engineers from purely technical roles into customer-facing, advisory work. Executive briefing and public speaking presence. Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable. This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors. If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you. Key responsibilities Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors Lead stock-based compensation reporting, including the expense and award-activity roll-forwards Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them Minimum qualifications Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings) Experience using Claude or similar AI tools to build new financial reporting workflows or automation Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data Have built reusable Claude or similar AI skills, agents, or processes Experience with international statutory reporting or consolidation of special-purpose entities CPA or equivalent certification 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 As a Manager, Compute Accounting at Anthropic, you will execute day-to-day accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for preparing compute cost accounting, including accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires hands-on month-end close experience, strong organizational skills, and the ability to build scalable processes and controls in a high-growth environment, with a strong appetite for process improvement and automation. You'll work directly with Engineering, Procurement, and Finance & Strategy to resolve issues and ensure that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll help operate the financial controls and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also support internal and external audit requests. Key responsibilities Own the accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations Perform accounts payable and vendor statement reconciliations, working with cloud service providers to resolve discrepancies and ensure billing accuracy Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends Support internal and external audit requests on compute cost accounting and commitment disclosure matters Work with Engineering and cloud service providers to investigate issues and see them through to resolution Build monthly and quarterly financial reporting packages for leadership reviews Drive process improvement and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and contribute to cross-functional projects from scoping through delivery Minimum qualifications 7+ years of progressive operational accounting experience CPA (or equivalent) with a strong understanding of GAAP Strong, hands-on month-end close experience, with a proven ability to prepare accruals, reconciliations, and journal entries accurately and on time Significant experience accounting for cloud service or compute infrastructure expenses, including review of associated contracts Experience with cloud service provider cost structures and the unique challenges of accounting for consumption-based services Strong written and verbal communication skills, with the ability to explain issues to vendors, engineers, and other non-finance stakeholders in clear, simple terms Strong analytical abilities and comfort working with a high volume of transactions Proven experience building accounting processes, controls, and policy in high-growth environments Strong organizational skills and attention to detail, with a track record of seeing issues through to resolution Proficiency with modern ERP systems (Workday preferred) Preferred qualifications Have experience mentoring junior accounting professionals A track record of leading process transformation, automation, or finance systems projects from scoping through delivery Strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities Comfort with cross-functional partnership in fast-paced environments where priorities can shift quickly SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems Python skills for building automation and analytical tools Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models Background combining Big 4 accounting experience with industry roles at technology companies Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts Track record of implementing automated reconciliation and reporting solutions Familiarity with commitment-based purchasing agreements and their accounting implications Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation Experience supporting rapid growth and scaling initiatives 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: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 Senior Manager, M&A Finance Integration to run the finance function's role in each transaction, from LOI through Day 1 readiness and post-close execution, and to own the program management of Anthropic's growing legal entity footprint. This is a build-and-run opportunity. Reporting to the Director, M&A Finance Integration, you will be the day-to-day operator of the M&A Finance Integration program: you will scope and drive the finance integration plan for each deal, coordinate finance workstreams alongside Corporate Development, Legal, and People, and be the connective tissue between deal teams and the functions that execute. You will also own the end-to-end legal entity lifecycle (setup, migration, and wind-down) for acquired entities and newly formed subsidiaries, and turn what we learn from every deal and legal entity set up into a maintained playbook and template library. The ideal candidate has operated in a similar function at a high-growth technology company, brings enough accounting fluency to know when a closing spreadsheet or entity plan looks wrong, and thrives on building rigorous, repeatable processes while deals are live. Key responsibilities Deal Integration Planning & Execution Scope and own the finance integration plan for each transaction across every phase, from LOI and due diligence through signing, sign-to-close, and Day 90, spanning finance functions Tailor the plan to the integration model (full integration vs. standalone subsidiary) and define each function's baseline activities and standalone-specific deltas Ensure every function is engaged at the right phase, with clear owners, dependencies, and escalation paths Run the integration operating rhythm: workstream check-ins, issue logs, risk registers, RACI matrices, decision logs, and status reporting to finance leadership Negotiate deliverables and trade-offs directly with functional leads; escalate to the Director with a recommendation when priorities conflict Day 1 Readiness & Post-Close Execution Drive Finance Day 1 readiness: bank account control and signers, payroll cutover, AP/AR continuity, ERP entity, cost-center and project-code setup, chart-of-accounts mapping, and expense policy communication Run the Day 1 checklist and 30/60/90-day follow-through, ensuring acquired entities are onboarded without disruption to the close cycle Coordinate the closing spreadsheet, net working capital mechanics, and post-close true-up with Corporate Development, Legal and Technical Accounting Serve as a primary finance point of contact for the target's finance team and Corporate Development's integration lead during transition Scope, track, and manage external advisor engagements and unblock issues as they arise Stakeholder Management & Communication Act as a credible counterpart to Corporate Development, finance functional leads, and target finance leadership on integration substance Communicate integration and entity status to leadership through clear dashboards and written briefings Mentor team members and contractors as the function grows Handle confidential deal information with discipline Legal Entity Lifecycle Program Management Build and run the end-to-end entity setup process: decision documentation, incorporation, tax registrations, banking, ERP entity creation, functional-currency assessment, payroll or employer-of-record bridge, and statutory / compliance calendar onboarding, with a named owner for each step across US and international entities Own the entity wind-down process, including customer and vendor off-boarding, final payroll and employee transfers, account closure, intercompany settlement, and final statutory filings, in partnership with Legal, Tax, and the involved finance functions Design and maintain a single entity tracker with per-entity, per-workstream implications and status, aligned with adjacent entity programs (e.g., infrastructure and special-purpose entities) so they share one backbone Playbook, Templates & Infrastructure Build and own the Legal Entity Playbook: a repeatable, end-to-end framework covering entity formation, migration, and wind-down for acquired entities and newly formed subsidiaries in the US and internationally Own and maintain sections of the modular M&A Finance Integration Playbook: per-function deliverables by phase, standard operating procedures, and the template library Lead post-deal retrospectives and drive the resulting changes into the playbook and templates Identify and implement tooling and automation, including AI-assisted solutions, for recurring program work such as status synthesis, tracker updates, escalations and draft communications Minimum qualifications Demonstrated end-to-end ownership of at least two finance integration projects or entity set up projects, from planning through post-close execution, including project plan ownership and executive reporting Working accounting fluency across the areas your stakeholders own: the close calendar, chart of accounts, intercompany, statutory reporting, purchase accounting fundamentals, and the finance implications of common deal structures (asset vs. stock, acquihire vs. strategic, full integration vs. standalone) Strong program-management capability: comfortable scoping ambiguous work, owning multiple parallel workstreams, and managing to milestones without extensive oversight Experience with ERP systems (NetSuite, Oracle, SAP, or equivalent) in an acquisition and migration context Cross-functional credibility with Legal, Tax, People, Corporate Development, and Finance sub-functions, and the ability to drive outcomes across competing timelines and risk tolerances Comfort operating under deal-environment time pressure and confidentiality, with sound judgment when processes are being defined in real time Excellent written and verbal communication, with the ability to distill complex operational issues into clear, decision-ready briefings Preferred qualifications 10+ years in finance, accounting, or finance operations, with at least 3 years running cross-functional programs at a high-growth technology company, with a focus in M&A integration or legal entity programs Have built or significantly contributed to a finance integration playbook, template library, or integration management office infrastructure from scratch Bring international entity experience: new-jurisdiction setup, statutory audit and local GAAP obligations, employer-of-record bridges, transfer pricing and intercompany agreements Have worked with standalone-subsidiary integration models, consolidation bridges, and equity-method investments Be an active user of AI tools in their own workflow and excited to push program management toward automation Hold a CPA, ACA, ACCA, or CA qualification Be genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow client engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, and driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. Responsibilities: Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. Collaboration: Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. Basic Qualifications: Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). Preferred Skills and Experience: Programming Expertise: Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors an microcontrollers (e.g., PowerPC, x86, ARM). Technical Skills: Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints