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Redefine the future of customer experiences. One conversation at a time. At Nextiva , we're reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it's through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you're ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. Location: While this role is open to remote candidates across the United States, team members located within 40 miles of our Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256) are expected to work onsite four days per week to support collaboration, speed, and execution. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity. We are seeking a Staff AI Engineer to help accelerate new AI initiatives and support Nextiva's mission of delivering exceptional customer experiences through a unified, modern platform powered by AI and automation. The Staff AI Engineer is a hands-on individual contributor role for an experienced engineer with deep technical expertise in Python, distributed systems, and system design. This role will help design, build, and launch new AI-focused initiatives while working across Nextiva engineering teams and with external technology partners. As a Staff Engineer, you will operate at the intersection of hands-on engineering, system design, and early-stage solutioning. You will take ownership of new capabilities from initial technical discussions through design, development, and launch. This is not an architecture-only position; we are looking for someone who remains close to the code and is comfortable building alongside the team. You will work on initiatives involving NextIQ capabilities, including collaboration with the Google Gemini team to bring capabilities built within Nextiva into partner environments. You will also work closely with global Nextiva product and engineering teams, including teams working on NextOS, to extend NextIQ capabilities across the Nextiva ecosystem. This role is ideal for an engineer who enjoys solving ambiguous problems, building new capabilities from the ground up, and taking end-to-end technical ownership while contributing as a deeply hands-on individual contributor. Responsibilities Design, build, and launch new AI-focused engineering capabilities and modules. Own engineering initiatives end to end, from early-stage solutioning and architecture through implementation and launch. Remain deeply hands-on with software development and contribute production code. Build solutions using Python and apply strong distributed-systems engineering principles. Participate in system design, architecture, and solutioning discussions with engineering teams. Work closely with the Google Gemini team on initiatives designed to bring NextIQ capabilities into Gemini. Collaborate with other external technology partners to extend Nextiva capabilities into their environments. Partner with U.S.-based Nextiva product and engineering teams on new initiatives. Work with teams supporting NextOS to help bring NextIQ capabilities into other areas of the Nextiva ecosystem. Navigate ambiguous, early-stage technical problems and translate them into practical engineering solutions. Take accountability for designing, building, and successfully launching the capabilities you own. Requirements Basic Qualifications 7–10+ years of relevant software engineering experience , with strong hands-on experience building and delivering production software. Very strong hands-on Python engineering skills. Strong system design capabilities. Experience designing and building distributed systems. Demonstrated experience owning and launching software modules or capabilities end to end. Experience taking technical initiatives from solutioning and design through development and launch. Ability and willingness to remain hands-on with coding at Staff Engineer level. Experience contributing to architecture and technical solutioning discussions. Ability to work effectively on new initiatives where requirements and technical approaches may still be evolving. Ability to collaborate effectively with internal engineering teams and external technology partners. Ability to work remotely within a time zone reasonably aligned with the Arizona-based team. Preferred Qualifications Experience operating as a Staff Engineer or at a comparable level in a similarly sized or slightly larger organization. Experience building new products, modules, or technical capabilities from the ground up. Experience combining system-level design responsibilities with significant hands-on implementation. Experience collaborating directly with external technology partners. Experience working across distributed engineering teams. AI & Modern Engineering Expectations Use AI-assisted engineering tools as part of day-to-day development to improve productivity and accelerate coding, problem-solving, testing, and engineering workflows. Apply strong engineering judgment when working with AI-generated code or recommendations, including appropriate validation, testing, and technical review. Understand how AI capabilities can be integrated into larger products and partner environments while maintaining scalable system design. Stay current with evolving AI-assisted software engineering practices and apply them where they improve engineering effectiveness. Contribute directly to AI-related initiatives involving NextIQ and partner environments such as Google Gemini. Additional Qualities Strong sense of ownership and accountability. Comfortable working through ambiguity and early-stage technical challenges. Able to move effectively between system design and hands-on implementation. Strong problem-solving and technical decision-making skills. Collaborative approach to working across engineering teams and external partners. Ability to take ownership of a capability through design, build, and launch. Self-directed and comfortable operating as a senior individual contributor. Nextiva DNA (Core Competencies) Nextiva's most successful team members share common traits and behaviors: Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go. Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work. Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates. Total Rewards Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. The expected hiring range is $115,000 - $200,000. A different level in the job hierarchy may apply to a specific candidate, resulting in a different hiring range. Health: Multiple health plan options to suit your needs, including medical, dental, vision, and telemedicine coverage Insurance: Life, disability, and supplemental indemnity plans ⚖️ Work-Life Balance: Flexible Time Off for salaried employees, PTO for hourly employees, Paid Sick Time, Paid Parental Bonding Leave, and holiday pay Financial Security: 401(k) with company match, Health Savings Accounts with company contributions, Dependent Care FSA ‍ Wellness: Employee Assistance Program (EAP) and comprehensive wellness initiatives Growth: Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Nextiva is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Nextiva participates in the E-Verify Program where and as required by law. For additional information about E-Verify visit USCIS . #LI-PJ1 #LI-Remote Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we're the future of customer experience and team collaboration through our AI-powered, conversation-centric platform. Want to see what life at Nextiva is all about? Connect with us on Instagram , Instagram MX , YouTube , LinkedIn , and the Nextiva Blog .

Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists. We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe. Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission. Ajax Systems is a Ukrainian success story, a place of incredible strength and energy. Key Responsibilities: Achieve sales targets in the area. Proactively seek out new business opportunities and coordinate meetings with potential partners to fuel business development. Strategize, plan, and deliver compelling presentations to engage business partners and stakeholders. Identify and establish partnerships with the most suitable fire alarm and life safety product distribution channels. Conduct comprehensive product and commercial education sessions in collaboration with partners to enhance product knowledge and drive sales. Advocate for the inclusion of Ajax Systems products in system specifications, actively influencing purchasing decisions. Collaborate closely with branded product distribution partners to meet the evolving needs of business partners. Contribute to the formulation and execution of market strategies tailored to Ajax Systems products and solutions. Assist in the development of targeted strategies for vertical markets, maximizing opportunities for Ajax Systems. Actively participate in marketing events and exhibitions to showcase Ajax Systems offerings and support brand visibility. Play a vital role in the overall growth and expansion of the Ajax Systems brand. Provide valuable feedback to management based on market requirements, contributing to the enhancement of current and future product offerings. Qualifications: B2B sales experience with residential fire market. Great business sense and network in the industry. Deep understanding of the industry standards, channels, and sectors. Technical competence with fire products. Strong sales and technical presentation skills. Ability to travel per business needs (up to 70 - 80% of time). Proactive, self-driven with hunter mentality. We offer: Opportunity to work in one of the most recognized and innovative security manufacturers. Opportunity to take on new challenges, advance your career, and make a meaningful impact. Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas. Competitive compensation that includes a base salary and performance-related bonuses. Car allowance and all business expenses and work tools are covered by the company. Compensation Additional Information

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Money as a Service (MaaS) team helps businesses build and scale financial products using Stripe's infrastructure. Stripe Issuing enables businesses to create and manage virtual and physical card programs, while Stripe Treasury provides financial accounts and money-management capabilities that platforms can embed within their products. Together, Issuing and Treasury help businesses create integrated financial experiences—from receiving and holding funds to moving money and managing card spend. Our users include high-growth startups, fintechs, software platforms, and enterprises developing new embedded-finance products and business models. Product Sales is a team of deep functional and technical specialists who lead and advise on Stripe's most strategic and complex opportunities. We work closely with Account Executives, Product, Engineering, Solutions Architecture, Legal, Finance, and other partners to turn sophisticated financial infrastructure into meaningful outcomes for our users. What you'll do As an Account Executive, Product focused on Issuing and Treasury, you will grow Stripe's relationship with existing users by identifying new use cases, expanding product adoption, and helping users realize greater value from Stripe's financial infrastructure. You will serve as a trusted product and commercial advisor, developing a deep understanding of each user's business model, product roadmap, technical environment, and growth priorities. In partnership with core Account Executives, you will build multi-year account strategies, uncover whitespace, and lead complex expansion opportunities from initial discovery through activation and revenue realization. Responsibilities Identify and lead Issuing and Treasury expansion opportunities across existing Stripe users, including fintechs, software platforms, startups, and enterprises Build and execute strategic account plans that connect users' business priorities with relevant Stripe products and capabilities Develop trusted relationships with executive, commercial, product, and technical stakeholders Lead customer discovery, product discussions, business-case development, commercial negotiations, and deal strategy Partner closely with core Account Executives to align on account strategy, executive relationships, opportunity ownership, and sequencing Help users expand into new business units, geographies, products, and embedded-finance use cases Coordinate cross-functional teams through solution design, pricing, contracting, implementation, activation, and growth Become an internal and customer-facing expert on Stripe Issuing and Treasury, relevant use cases, integration models, and the competitive landscape Work with Product and Engineering to synthesize user feedback, identify recurring product needs, and inform Stripe's roadmap and go-to-market strategy Represent product capabilities accurately and develop creative solutions without overcommitting Stripe's roadmap Create scalable go-to-market playbooks, AI-supported workflows, and process improvements in partnership with Sales, Product, Marketing, and Technical Services Maintain an accurate forecast and use data and AI tools to prioritize opportunities and improve performance Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 7+ years of customer-facing sales experience at a leading technology, financial infrastructure, fintech, or payments company Experience with issuing or treasury focused products is a plus A track record of meeting or exceeding quota in a complex B2B sales environment Experience growing existing customer relationships through cross-sell, upsell, product adoption, or account expansion Demonstrated ability to lead complex, multi-stakeholder opportunities involving executives, Product, Engineering, Finance, Legal, Procurement, and other teams Strong commercial judgment, including experience developing business cases, articulating value, structuring deals, and leading negotiations Ability to understand sophisticated technical products and explain them clearly to both business and technical audiences Experience building trusted-advisor relationships with senior business leaders Proven ability to build collaborative relationships and influence cross-functional partners without direct authority An entrepreneurial approach and comfort operating independently in an ambiguous, fast-moving environment Excellent verbal and written communication skills Strong analytical, organizational, and account-planning skill In office locations include: San Francisco and New York. Remote work is also available for this role.

About Flexport:  At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.  The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Drive operational excellence and employee success as an HR Manager at our Lewisville Fulfillment Center.   The opportunity: The People team is at the heart of Flexport's growth, ensuring we attract, develop, and retain the best talent to redefine global trade. As an Onsite Human Resources Manager, you will be the dedicated HR leader for our rapidly expanding Lewisville, Texas Fulfillment Center. This is a hands-on role where you will partner directly with FC leadership, managing all HR functions for a large, dynamic workforce. You'll be instrumental in shaping the employee experience, fostering a positive culture, and ensuring our operations run smoothly and compliantly.   You will: Serve as the primary HR partner for the Lewisville Fulfillment Center, advising leadership on all people-related matters. Manage the full employee lifecycle for our workforce, including, onboarding, performance management, and offboarding. Lead employee relations efforts, conducting investigations, mediating conflicts, and ensuring fair and consistent application of policies. Drive HR program implementation at the site level, including performance reviews, compensation cycles, and employee engagement initiatives. Ensure compliance with all federal, state, and local employment laws and Flexport policies within the fulfillment center. Analyze HR data to identify trends, recommend solutions, and contribute to site-specific HR strategies.   You should have: 5+ years of progressive HR experience, with at least 2 years in an onsite operational environment (e.g., fulfillment center, manufacturing, warehouse). Proven expertise in employee relations, labor law compliance, and HR best practices for non-exempt workforces. Strong ability to partner with and influence site leadership to achieve business and people objectives. Experience managing HR functions independently for a specific site or business unit. Excellent communication, problem-solving, and organizational skills. A 'compliance first' attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.   You will get: The opportunity to be a critical HR leader in a fast-paced, high-growth global logistics environment. A chance to build and shape HR practices within a key operational site. Competitive compensation and benefits, including medical, dental, vision, 401(k) match, and paid time off. A culture that values diversity, inclusion, and continuous learning. Work alongside a team of passionate, mission-driven individuals who are transforming global trade.   #LI-onsite Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at  www.flexport.com/privacy  for additional information.

About Flexport:  At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.  The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: Tired of the traditional operating model of the freight forwarding industry? Want to join the most disruptive force for good in global commerce? At Flexport, our mission to make global commerce so easy there will be more of it.  We believe that global trade should work better for everyone.  Over the last decade, we have grown faster than  any freight forwarder in history by taking a technology first approach to the industry's biggest challenges and building a team of passionate experts to transform global logistics.  As a member of the Account Management team, your mission will be to proactively grow new and existing client relationships by building and implementing solutions to their supply chain challenges. This is the golden opportunity to help expand our business in Vietnam.  You will: Develop and launch new solutions that meet the needs of the largest and most complex global freight forwarding clients. Accelerate the growth of all services across the Flexport Portfolio including Air, Ocean, Domestic and Cross-border Logistics, Trade Advisory, Customs, PO Management. Partner with global teams in North America, Europe and Asia to identify expansion opportunities with our existing accounts to expand Flexport's business. Work cross-functionally across Ocean/Air/Logistics Operations, Procurement, Implementation, Legal, Industry SMEs, and Trade and Financial Services teams – to develop and execute on client strategies to maximize outcomes. Align management level customer contacts and maintain relationships with critical stakeholders at some of the world's largest brands Stay informed on the latest industry and supply chain developments, and proactively educate and support your clients through change. You should have: 4+ years client facing experience with a background in logistics, freight forwarding, or supply chain strongly preferred.  An entrepreneurial mindset with a strong track record of successfully delivering innovation and driving results. Experience working in complicated global team matrices to drive desirable solutions and results on a global level.  Experience building client relationships locally and globally and leveraging those relationships to grow the business partnership.  Strategic thinker and disciplined planner; able to operationalize strategic plans; well organized.  Effective communication on all channels (written, verbal, phone, media) with strong English proficiency for aligning global stakeholders.   Strong negotiation and problem-solving skills  Highly collaborative; track record of building strong internal and external relationships.  High integrity and ethics; style and behavior align with Flexport's values A "compliance first" attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry. Hanoi office location is in 1 Thai Ha, Dong Da,. Willing to travel to other provinces to visit clients and factories. Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at  www.flexport.com/privacy  for additional information.

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 an experienced leader for our Treasury, Liquidity & Capital Planning team. In this foundational role, you will own the forward view of the company's cash and balance sheet as Anthropic manages one of the fastest-growing balance sheets in technology alongside some of the largest infrastructure commitments any company is making. You will report to the Head of Investments & Market Risk and work closely with FP&A, Accounts Payable, Collections, Controllership, Legal and Infrastructure Finance. This is a rare opportunity to build a liquidity and capital planning function from the ground up at a high-growth AI company. You bring a strong background across multiple pillars of Treasury and a track record of driving complex, cross-functional initiatives through to completion with limited direction and full accountability. You are proficient in using AI tools to drive automation and process optimization, and you will use Claude to build much of the tooling that makes Treasury faster and more precise. Key responsibilities Build, own and continuously improve a direct cash flow model and forecast by legal entity and currency, tied to bank data at the front end and to FP&A's operating plan, so the company sees liquidity needs well before decisions have to be made Establish a disciplined forecasting cadence across monthly, quarterly and annual cycles, with forecast-to-actual variance analysis built on bank transaction data  Partner with FP&A and Strategic Finance to support capital allocation decisions with scenario and sensitivity analysis and clear liquidity trade-offs Monitor and manage working capital drivers, including receivables, payables and DSO/DPO, to anticipate cash flow impacts and improve liquidity Prepare cash flow analyses and executive-level materials for the Treasurer, CFO and senior leadership, highlighting key drivers, risks and opportunities Partner with FP&A, Accounting, Tax and business teams to understand forecast movements, challenge assumptions and improve accuracy, while strengthening processes, reporting and controls so the framework scales Serve as back-up for the investments desk (in-house portfolio, money market funds, deposits and separately managed account instructions) and for the FX, commodities, rates and credit desk Minimum qualifications Have built and owned a direct cash flow model and forecast across multiple legal entities and currencies Can project a balance sheet, leverage and covenant metrics as comfortably as cash, and explain the trade-offs clearly to a CFO and other non-Treasury stakeholders Understand how a forecast turns into an investment ladder, a hedge program and a compliance test, not just a report Have stood up models, reporting and controls where none existed, and are comfortable being the whole team Work directly with data, including bank feeds, ERP cash flows and portfolio reports Understand money market funds, deposits, short-duration securities and basic hedging mechanics well enough to cover a trading desk Exercise strong judgment in ambiguous situations and build effective relationships across Finance, Legal and the business Preferred qualifications 10+ years of relevant experience in treasury or corporate finance Have led a cash flow forecasting or liquidity planning function inside a large corporate Treasury Have supported a revolving credit facility, debt issuance or rating agency process with forecasts and covenant models Have worked in Treasury through hypergrowth, large financings or an IPO Have used Claude or similar AI tools to automate Treasury workflows and reporting Are familiar with a treasury management system, Clearwater, planning tools or a data warehouse such as BigQuery Have executed trades under a Treasury policy, including direct securities, money market funds, deposits, and FX spot and forwards Hold a CFA, CTP or CPA Are excited by Anthropic's mission to build safe, transformative AI systems, and by Treasury work that directly supports it The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California  —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI Work with the Communications team to develop clear, accurate messaging for regional policy campaigns Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments Manage the outside advisors and registered lobbyists who support Anthropic's work in your region Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications Align with our mission and embrace the imperative of policy impact and change Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles Are prepared to travel regularly across the region Preferred qualifications Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments Can work well under time pressure and manage competing demands Can translate complex technical topics into clear, accessible language for policymakers and residents alike Have experience working with communications teams to develop effective messaging for policy campaigns Are comfortable being honest about tradeoffs, including in rooms where people disagree with us Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty 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 — $265,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to lead Anthropic's engagement with state and local governments across the Midwestern United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will work closely with Anthropic's other Regional State and Local Affairs Leads, as well as coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across the Midwest — engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution — with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive — grounded in honest assessment of technological trajectories and authentic concern for safe scaling — and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities Serve as Anthropic's lead for state and local government affairs across the Midwestern United States, working in close coordination with the other Regional State and Local Affairs Leads Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region Engage directly with local officials whose decisions affect Anthropic's work — mayors, city councils, county commissions, and economic development boards Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI Work with the Communications team to develop clear, accurate messaging for regional policy campaigns Translate Anthropic's technical research and policy positions into engagement strategies tailored to Midwestern state political environments Manage the outside advisors and registered lobbyists who support Anthropic's work in your region Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications Align with our mission and embrace the imperative of policy impact and change Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes Have existing relationships with state and local leaders in the Midwest, including legislators, governors' offices, attorneys general, or county and municipal officials Understand how state legislatures and executive branches work — committee processes, legislative and regulatory procedures, and how to move policy forward — and understand where local authority begins and ends Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles Are prepared to travel regularly across the region Preferred qualifications Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities Have exposure to technology policy or emerging technology regulation; understand the unique challenges of navigating policy for rapidly evolving technologies Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments Can work well under time pressure and manage competing demands Can translate complex technical topics into clear, accessible language for policymakers and residents alike Have experience working with communications teams to develop effective messaging for policy campaigns Are comfortable being honest about tradeoffs, including in rooms where people disagree with us Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty 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 — $265,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability  Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required  Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.