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At Serve Robotics , we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Responsibilities Design, develop, test, and maintain robotics middleware and application frameworks using modern C++ on embedded Linux. Own significant platform components from technical design and implementation through validation, deployment, and operation across Serve's robot fleet. Partner with software teams using the robot platform to identify reliability, performance, and developer experience problems and deliver reusable solutions. Collaborate with Autonomy and Systems Engineering on risk assessments, failure analysis, fault-handling strategies, and software architecture. Translate system-level safety and reliability requirements into software behavior, interfaces, and verification strategies. Develop instrumentation, benchmarks, logging, tracing, and fleet-level metrics to measure and improve software performance, reliability, and system health. Diagnose and resolve complex system-level issues involving concurrency, scheduling, interprocess communication, networking, and constrained compute resources. Evaluate technical tradeoffs and contribute to architectural decisions that improve the scalability, maintainability, and reliability of the robotics platform. Lead technical design and code reviews and contribute to engineering standards, development practices, and technical documentation. Provide technical guidance and mentorship to other engineers through design discussions, problem solving, and knowledge sharing. Qualifications Bachelor's degree in Computer Science, Robotics, Computer Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical experience. 5+ years of professional software engineering experience, including significant experience developing production software in modern C++ (C++17 and newer). Experience developing and debugging systems software in embedded Linux environments. Strong understanding of multithreaded programming, concurrency, synchronization, interprocess communication, and systems-level software development. Experience designing software for latency-sensitive, safety-related, real-time, or high-reliability systems. Experience profiling and optimizing embedded software for performance, reliability, and resource utilization. Experience independently owning complex software components through design, implementation, testing, and deployment. Strong troubleshooting and problem-solving skills with demonstrated ability to diagnose complex issues across software and hardware boundaries. Strong written and verbal communication skills and the ability to collaborate effectively across software, systems, and hardware engineering teams. What Makes You Stand Out Experience developing middleware for robotics, autonomous vehicles, or similar complex systems. Experience developing and deploying production software on NVIDIA Jetson or similar embedded computing platforms. Knowledge of Linux internals, scheduling, resource management, device interfaces, and interprocess communication mechanisms. Experience with fault-tolerant architecture, failure-mode analysis, functional safety, or safety-related software development. Experience with distributed systems, networking, RPC frameworks, or serialization technologies such as Protocol Buffers, FlatBuffers, or Cap'n Proto. Experience developing telemetry, observability, health monitoring, or diagnostic capabilities for robotics or distributed device fleets. Experience integrating software with sensors, embedded hardware, or other robotic system components. Additional Information: This role works across multiple engineering disciplines and balances hands-on software development with systems-level problem solving, technical design, and cross-functional collaboration. The position may occasionally require access to robotics hardware or onsite participation in integration, testing, troubleshooting, or validation activities.

The Role We're looking for an Director to own Amazon DSP (demand-side platform) strategy and execution for a large-scale portfolio account. In addition, you'll also be director-level support for managers across 2-3 other full-funnel retail accounts, as well as help the wider team sharpen how they plan and execute across retail DSP. At Wpromote , we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek's Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what's possible in marketing. We offer: -Remote-first culture -Unlimited PTO -Extended Holiday break (Winter) -Flexible schedules -Work from anywhere options -100% paid parental leave -401(k) matching -Medical, Dental, Vision, Life, Pet Insurance -Sponsored life insurance -Short Term Disability insurance and additional voluntary insurance -Annual Class Pass credits and more! The anticipated annual salary for this role will range from $119,000 - $130,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state's salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above). This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus. This position may be performed remotely in most states within the US, with some exclusions While this role offers the flexibility to work remotely, we have office hubs in Los Angeles and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person! This position is not eligible for immigration sponsorship Important Notice: Beware of Job Scams Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers , it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. #LI-JJ #LI-Remote You Will Be Accountable for full-funnel Amazon DSP strategy, planning, and execution across a large-scale portfolio account. Supporting managers at a director-level across several other accounts across Amazon Sponsored Ads, DSP, and other retailers (Walmart, Target, Criteo) Designing, implementing, and managing ad spend across campaigns, while having a full grasp of how different ad types work together to further our client's goals. Monitoring daily trends, opportunities, and spend across multiple brands Proactively communicating with clients about account health, ad performance, sales, best practices, potential opportunities, and developing action plans to improve results Working in a dynamic, time-intensive environment where competing priorities are commonplace. Previous agency experience preferred. Closely monitoring competitors and category trends Auditing prospective Amazon accounts and identifying areas for improvement to assist in the sales process Developing and maintaining a strong understanding of new or emerging trends within Amazon and other marketplaces Tasked with some special projects as needed to help the growth of the department You Must Have 8+ years in digital media, with deep hands-on Amazon DSP planning and execution experience. Real programmatic fluency — PMP vs OMP, inventory deals, audience strategy, and inventory decisions. Command of the full Amazon ecosystem: DSP, Sponsored Products, Brands, and Display, plus AMC. Experience working with or at a brand with $5M+ in annual Amazon budget A track record leading large, complex, or multi-brand accounts. Experience with 3P optimization tools (Pacvue, Skai, Gigi, etc) Experience managing and developing direct reports, including coaching, feedback, performance management, and career development Great communication skills, both written and oral, with a strong attention to detail Extremely well organized, able to balance client timelines and business needs across multiple clients Work comfortably in dynamic, time-intensive environments where competing priorities are commonplace Ability to manage client expectations and priorities Experience presenting to senior-level client contacts The ability to explain the nuances of Amazon clearly and concisely Working experience of Vendor and Seller Central An understanding and experience with optimizing product detail pages, including titles, key features, and A+ content. Knowledge about how Amazon marketing and performance affect the purchase funnel An understanding of Amazon account operations, logistics, and the fees that may be associated with them Working knowledge of other e-commerce marketplaces outside of Amazon Nice to Have Experience within the pet category Prior agency experience Working knowledge of other digital marketing channels outside of Amazon (social, influencer, search, etc.) Compensation Additional Information Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We are looking for a Chief of Staff–style operator to serve as the President's right hand and help run, maintain, and continuously evolve the Product, Engineering & Design operating model and cadence. This role will turn strategy into a durable execution system. You will own the connective tissue across the President's leadership cadence: preparing the right inputs, creating clarity on decisions and tradeoffs, ensuring commitments are followed through, surfacing risks early, and improving the operating model as the organization changes. You will work across Product, Engineering, Design, Commercial, Finance, People, and your peers in Business Operations, partnering with senior leaders who do not report to you and influencing through judgment, trust, and clarity. The successful candidate will combine executive judgment, operational rigor, business acumen, comfort with ambiguity, strong written and verbal communication, and the ability to move fluidly between strategic questions and the execution details required to make the system work. AI fluency is an important part of this role. You will use approved enterprise AI tools, including tools such as ChatGPT, Gemini, Claude, Glean, Cursor, or comparable platforms, to automate repeatable operating work, synthesize information across functions, improve leadership preparation, surface risks and dependencies, and accelerate strategic-initiative delivery. This role reports to the VP of Operations at Squarespace and is based remotely in California or locally at our New York City headquarters. You'll Get To… Run the President's operating cadence . Own end-to-end orchestration of the leadership rhythm: staff meetings, WBRs, MBRs, and QBRs, finance and portfolio reviews, priority updates, and annual operating-plan inputs. Ensure each ritual has a clear purpose, owner, input, output, decision authority, and downstream cascade. Drive decision quality. Synthesize diverse inputs into concise narratives that make priorities, risks, options, tradeoffs, and recommended decisions clear to the President and leadership team. Document decisions in the room, assign owners and deadlines, track commitments, and escalate unresolved issues with context and a proposed path forward. Improve execution velocity. Identify alignment and execution risks before they surface as leadership surprises, and facilitate resolution across Product, Engineering, Design, Commercial, Customer Operations, Finance, People, and Business Operations, connecting planning, performance, financial, organizational, and roadmap inputs. Use AI and advanced tooling to make decisions faster and better-informed. Evolve the operating model. Treat the operating system as a living thing. Establish health measures such as decision latency, action closure, cascade reach, pre-read quality, participation, recurring issue themes, and use them to assess whether rituals, artifacts, and escalation paths are producing the right outcomes. Recommend and implement changes to cadence, governance, templates, roles, and channels as strategy and priorities evolve, codifying what works so the model is easy for leaders to understand and operate. Lead high-priority strategic initiatives. Drive complex, ambiguous, cross-functional work on behalf of the President, from framing and workplan through decision, implementation, and follow-through, including emerging problems that don't yet have a clear owner. Support annual strategy, goals, headcount, and budget processes by connecting them to the department's operating rhythm. Represent the President and build transparency. Stand in for the President in meetings, events, and discussions, exercising the remit of the position. Navigate difficult conversations and cross-functional tradeoffs without relying on formal authority. Support two-way access to the President through Town Halls, Roundtables, Office Hours, and written follow-up, using sound judgment about what should be broadly communicated, selectively shared, or handled privately. Serve as a trusted thought partner to the President and senior leadership team, offering an independent perspective and respectfully challenging assumptions when needed. Who We're Looking For Significant experience in Chief of Staff, Product Operations, Business Operations, Strategy & Operations, or management consulting A track record of owning an operating model, leadership cadence, or portfolio of complex cross-functional initiatives, preferably in tech companies Knowledge of the product / software development lifecycle Demonstrated proficiency with enterprise AI tools, such as ChatGPT, Gemini, Claude, Glean, Cursor, or comparable approved tools, and experience integrating them into daily workflows to automate repeatable tasks, optimize processes, improve synthesis, and accelerate project delivery. Exceptional written communication: you can turn a large volume of input into a concise, decision-ready narrative tailored to the audience Strong business and financial acumen, with the ability to understand metrics, forecasts, resource tradeoffs, product or portfolio performance, and organizational implications. Strong executive presence and facilitation skills; you can create clarity and momentum in high-stakes or ambiguous settings. Demonstrated ability to influence senior stakeholders, build consensus, resolve conflict, and push for decisions without formal authority. High judgment and discretion when handling sensitive organizational, people, financial, and strategic information. Comfort operating in ambiguity, switching between strategic altitude and detailed execution, and taking ownership of problems that cross organizational boundaries. A continuous-improvement mindset: you distinguish between process and content, challenge ineffective routines, and make change practical and durable. A bias toward action, paired with the judgment to know when to decide, when to seek input, and when to escalate. What Success Looks Like In the first 6–12 months, you will: Implement a dependable operating rhythm in which leadership forums are well-prepared, decision-oriented, and followed through. Improve the quality and consistency of pre-reads, decision logs, action tracking, portfolio updates, and quarterly communications. Make it easy to see what changed, what matters now, what decisions are needed, who owns the next step, and where risk is accumulating. Establish a small number of reliable AI-enabled workflows that reduce manual preparation and reporting effort, improve the timeliness and quality of leadership inputs, and make follow-through more visible. Increase the organization's ability to reuse knowledge, detect recurring issues, and move from raw information to clear decisions without adding unnecessary process. Build strong working relationships and trust with the President and his leaders across the department and company, leading with tact, discretion and respect. Help the President and leadership team make faster, clearer, better-informed decisions without adding unnecessary processes or meetings. Leave the system more scalable and more resilient than you found it. Benefits & Perks A choice between medical plans with an option for 100% covered premiums including medical, dental, and vision Supplemental Life and Disability Insurance plans Fertility and adoption benefits Headspace mindfulness app subscription Global Employee Assistance Program Retirement benefits with employer match Flexible paid time off 12 weeks paid parental leave and family care leave Pretax commuter benefit Education reimbursement Employee donation match to community organizations 7 Global Employee Resource Groups (ERGs) Dog-friendly workplace Free lunch and snacks Private rooftop Hack week twice per year US Cash Compensation Range: $178,500 - $350,000 USD The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary. About Squarespace Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers . Our Commitment Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-Remote #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge. If you plan to use AI in any capacity during your candidate journey, please review our Candidate AI Policy .

At Squarespace , we empower our product teams to solve hard problems in ways that our customers love and strengthen our business. As Senior Director of Product for the Client Engagement Group (CEG), you will lead the product strategy and execution for Squarespace's customer engagement platform: the CRM, email campaigns, automations, and transactional communications that enable our merchants to build lasting customer relationships and grow their businesses on Squarespace. The Client Engagement Group sits at the center of Squarespace's growth strategy. Our marketing tools are a critical lever in increasing product attach, reducing merchant churn, and building a differentiated position in the service commerce landscape. You will own the vision for transforming our current communications offering into a unified customer engagement hub… one that competes with best-in-class tools while leveraging Squarespace's unique data and ecosystem advantages. You will report directly to the President of Squarespace and serve as a member of the Product leadership team. You will have the option of working on-site (hybrid) at our NYC headquarters or remotely within the U.S. You'll Get To… Define and drive the multi-year product vision and strategy for CEG - spanning CRM, email campaigns, automations, transactional communications, and emerging channels including SMS - with a clear line of sight to revenue growth and platform impact Own the Email Campaigns business line end-to-end: report on revenue performance, develop engagement and GTM strategies, and lead roadmap decisions in close partnership with commercial and marketing stakeholders Build toward a competitive, full-featured customer engagement platform by prioritizing investments in business CRM, transactional automations, flexible communication channels, and advanced segmentation that meet the sophisticated needs of today's service sellers Lead, grow, and mentor a team of product managers across multiple product lines, setting a high bar for hypothesis-driven development, roadmap rigor, and customer-centricity Partner with Engineering and Design functional leads to deliver outcomes across the team; step in to remove blockers and maintain velocity on high-priority initiatives Collaborate across the Squarespace ecosystem - with Commerce, Growth, Financial Solutions, and GTM - to ensure CEG products are deeply integrated into the broader platform Champion the use of Squarespace data and AI to create smarter automation flows, personalized outreach, and differentiated customer engagement experiences that competitors cannot easily replicate Shape the process, craft, and standards for senior product leadership at Squarespace Who We're Looking For 12+ years of product management experience, with a meaningful portion spent building and scaling customer engagement, CRM, marketing, or communications products 5+ years leading and developing teams of product managers in complex, multi-product environments Deep familiarity with the customer engagement and email service provider landscape; informed perspective on what it takes to compete with and differentiate from best-in-class marketing and CRM tools Demonstrated ability to own a revenue-generating product line with accountability for business outcomes, not just product delivery Strong strategic instincts paired with a bias for execution; comfortable operating at the intersection of vision-setting and unblocking day-to-day team work Excellent communicator and cross-functional partner with the credibility to influence senior leadership and align stakeholders across product, engineering, commercial, and marketing functions Experience applying hypothesis-driven development and experimentation to accelerate product-market fit and grow adoption Benefits & Perks A choice between medical plans with an option for 100% covered premiums including medical, dental, and vision Supplemental Life and Disability Insurance plans Fertility and adoption benefits Headspace mindfulness app subscription Global Employee Assistance Program Retirement benefits with employer match Flexible paid time off 12 weeks paid parental leave and family care leave Pretax commuter benefit Education reimbursement Employee donation match to community organizations 7 Global Employee Resource Groups (ERGs) Dog-friendly workplace Free lunch and snacks Private rooftop Hack week twice per year US Cash Compensation Range Cash Compensation Range: $323,000 - $435,000 USD The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary. About Squarespace Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers . Our Commitment Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge. If you plan to use AI in any capacity during your candidate journey, please review our Candidate AI Policy .

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva is looking for an experienced consultant to lead MedTech Complaints implementations at Veeva's MedTech customers globally. This role will guide the transformation of our customers' Complaints Management processes and technology. The MedTech Complaints consultant will work closely with Professional Services teams to ensure delivery success across QMS implementations. Review and analyze existing Customer business process and identify key process steps, gaps, and requirements that would impact implementation approach Lead QMS Complaints implementation workstreams at our customers for Veeva's MedTech Quality Management solutions Function as a Primary customer liaison managing communication between implementation teams, customer stakeholders, and 3rd parties Analyze customer requirements and new product features to develop customer adoption and enhancement roadmaps Guide customers in adopting Vault and industry best practices as part of post-implementation programs focused on the holistic success and continuous improvement of the customer 8+ years of experience in GMP Systems ownership or Software Consulting 5+ years of experience in Complaints Management for Medical Device Strong understanding of FDA, EU MDR/IVDR requirements and Reporting Understanding of relationship between Complaint Handling, CAPA, Nonconformance and Risk Management processes Knowledge of ISO 13485 and 14971, FDA 21CFR Part 803, 820, 822, 806, EU GMP Annex 11 Proven track record leading implementation and/or IT operations as a consultant, business analyst, or IT lead and/or business sponsor Proven ability to work both independently and in teams in a dynamic, fast-moving environment Good understanding of SaaS and GxP principles Ability to quickly understand business requirements and design creative solutions Excellent verbal and written communication skills Experience in the Life Sciences Quality, Manufacturing, or Healthcare spaces Experience with Data or Content Management applications Veeva Vault implementation experience Management Consulting Change Management experience Field Action and Product Return experi

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems. In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Build deep partnerships with researchers and Research teams to understand their needs and deliver for them Mentor other engineers and help raise the technical bar for the team Build alignment on technical direction across multiple teams, working through ambiguous problem spaces Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production Experience independently scoping and delivering complex, ambiguous, multi-month technical projects Prior experience as a technical lead or mentor for other engineers Experience making architectural decisions that other engineers and teams build on top of Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java) Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP) Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL) Low-level systems experience (e.g., Linux kernel tuning, eBPF) Experience applying security or privacy engineering best practices 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 As a Product Manager focused on Enterprise Privacy, you'll collaborate with Privacy Engineering, Infrastructure, Trust and Safety, Legal, Security, GTM, enterprise and platform product teams, and our cloud partners to evolve and extend the controls that enterprises, regulated industries, and governments require in order to bring their most sensitive work to Claude. You will synthesize complex and fast-changing business needs and partner closely with the teams that retain, protect, and govern customer data across Anthropic's first-party platform and Claude on AWS, GCP, and Azure. Together, you will ensure that privacy guarantees are enforced by our systems and are verifiable by our customers. This is a high-visibility role with substantial scope. Anthropic offers layered controls over how customer data is retained and accessed, and you will build the product surface that lets customers understand, govern, and verify these controls. This includes retention and access controls, access logs and compliance reporting, customer-managed keys and custody, data residency, and self-serve user interfaces. Your stewardship of these privacy capabilities earns the customer trust that is essential to Anthropic's mission. Key responsibilities Deeply understand external customers with strict data handling requirements, from a bank's CISO to a healthcare system's compliance team to a government contractor's auditor, and the internal Trust and Safety, Legal, and GTM stakeholders whose needs pull in different directions. Partner with Privacy Engineering to ship controls that unblock regulated customers, balance impact against engineering cost, and deliver at Anthropic speed. Co-develop solutions with design-partner customers and their compliance teams, so shipped changes pass real audits, not just hypothetical ones. Work with engineers to steer architecture and investment decisions with a long-term lens: balancing build versus buy versus rely-on-the-cloud-provider, and sequencing custody, residency, and transparency across clouds that ship on their own timelines. Define success metrics for privacy controls, from preventing configuration incidents by design, to the speed at which customers can independently answer questions about their own data. Define and iterate on the self-serve experience for compliance and security teams, expanding what an organization can check about its own posture, settings, and access history without having to wait on support tickets. Gather and assess competing stakeholder needs and communicate prioritization trade-offs clearly to senior leadership, balancing privacy risk, safety requirements, legal exposure, and commercial impact. When something goes wrong, own what customers hear from us and when. Work with engineering leads to decide how retention, access, residency, and custody controls are enforced, so that our infrastructure keeps the promises we make. Minimum qualifications Experience taking a new product area from ambiguity to a durable roadmap, and shipping controls that enterprises or regulators depend on. A track record of driving platform capabilities that balance the needs of multiple customer segments and internal stakeholders. The judgment to make prioritization trade-offs between customer demand, risk, and engineering cost, and the clarity to communicate them. The ability to internalize how privacy, safety, legal risk, and commercial impact interact, and translate that understanding into a coherent product vision. Experience building highly collaborative and effective relationships with engineers and key cross-functional stakeholders. You have equal credibility providing design doc feedback to engineers, negotiating a control with a CISO without losing the relationship, and explaining a risk trade-off to leadership. Preferred qualifications 8+ years of product management experience, with deep exposure to privacy, security, or compliance products. Built or scaled audit logging, key management, data residency, retention, or access governance products for regulated customers. Shipped controls across multiple cloud providers or partnered with AWS, GCP, or Azure at the platform level. Worked with certification, attestation, or trust center programs (SOC 2, ISO 27001, FedRAMP). Used Claude, Claude Code, or comparable agentic tools and formed opinions about the data controls they should offer. The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 Product Manager in the Internal Products and Technologies organization, you'll partner with Engineering, Design, Growth, Trust & Safety, Support, and Finance to build the billing experiences every Claude customer uses, from the first purchase to the monthly invoice: We own how customers buy and manage Claude: choosing and changing plans, viewing invoices, tracking usage and spend, and setting spend controls. Your work reaches everyone who pays for Claude: individuals upgrading a plan, teams adding seats, developers buying credits, and enterprise admins managing budgets across thousands of users. You'll define how Claude should explain a charge, change a plan, or set a spend limit for a customer. You'll also define how admins set spend controls for the agents their teams run. You'll own billing experiences that convert well, resist abuse, and let customers resolve billing questions on their own. Responsibilities Deeply understand customers across segments (consumers, developers, teams, and enterprise admins) and where billing friction costs us conversion, trust, or support volume. Partner with Growth on purchase, upgrade, and plan-change flows, balancing conversion against clarity and long-term customer trust. Partner with Trust & Safety to stop abuse of Claude plans and credits without adding friction for legitimate customers. Design agentic billing experiences: Claude answering billing questions, resolving common issues, and taking billing actions, with a confirmation step wherever a mistake would cost the customer money. Partner with Engineering and Design so every Claude product gives customers the same clear way to buy, upgrade, and manage spend. Drive product strategy and roadmap, synthesize competing stakeholder needs, and communicate prioritization clearly to senior leadership. You may be a good fit if you: Have 7+ years of product management experience, including self-serve purchase, subscription, or billing experiences. Have shipped self-serve experiences where you owned conversion and retention metrics and ran experiments to move them. Have strong product design instincts, and can make a confusing concept like proration, overage, or credits clear on a single screen. Have built LLM-powered or agentic product features, and have a point of view on when an agent should act on its own and when it should ask first. Are equally credible discussing system design with engineers, abuse patterns with Trust & Safety, and funnels with Growth. Are comfortable making tradeoffs between growth, risk, and financial accuracy, and explaining them clearly. Are scrappy and resourceful, and do what it takes to get things done. Strong candidates may have: Shipped customer tools for usage-based or hybrid pricing (seats, usage, credits), such as usage dashboards, spend limits, and alerts. Worked with Trust & Safety or risk teams to prevent abuse of plans, credits, or free trials. Launched a product in new countries, including local pricing, tax, and currency. Built self-serve help experiences that measurably reduced billing support contacts. Scaled through hypergrowth (10x+ revenue). 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: $385,000 — $460,000 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 Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from "I need to buy something" to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. Background in accounting, accounts payable, or a month-end close process. Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. Experience with software asset management or license optimization, including identifying underused or redundant tools. Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 This is a critical leadership role responsible for building and scaling Anthropic's consulting, GSIs and AI-native boutique partners across Italy . You will own the strategic roadmap, investment prioritization, development plans, and revenue accountability for a portfolio of partnerships that will collectively become critical drivers of Anthropic's enterprise growth. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones. Key responsibilities Partnership development and execution:  You will treat each partner as a structured sales pursuit with detailed stakeholder mapping, account plans, and targeted engagement strategies.  You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. Performance and KPI ownership: Own and drive key performance indicators: partner-sourced pipeline, partner-influenced revenue, consultants trained and certified, joint proposals submitted Establish clear success metrics with each partner and drive regular business reviews against targets Report on partnership health, progress, and commercial outcomes with data-driven insights Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement.  Market Development & Brand Building Amplify the Anthropic brand across Italy through strategic partner relationships Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances Navigate regional regulatory, compliance, and data sovereignty considerations Create competitive differentiation through unique partner capabilities and joint value propositions You may be a good fit if you have: Builder mentality — comfortable starting from zero and creating scaled partnerships Fluent in English and Italian 12+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses Deep existing relationships at VP+ level within target partners Data-driven mindset with focus on measurable outcomes and KPI attainment. Track record of driving incremental revenues through partnerships in the region History of delivering exceptional customer success and brand protection through partner channels Competitive drive — obsessed with winning and creating differentiation Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams Passion for AI and alignment with Anthropic's mission of beneficial AI development Working Relationships You will formally report to the International Partnerships leader, while your day-to-day work will be led by our South EMEA Partnerships lead. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Technical Account Management teams. Location and Travel This role will be based in Milan,Italy with travel expected to engage with partners and customers externally + regular international travel.   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: €185.000 — €220.000 EUR Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers.   Responsibilities:  Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier   You may be a good fit if you: Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly Have a genuine passion for making powerful technology safe and societally beneficial   Strong candidates may have: Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating A track record of winning competitive technical evaluations against other LLM providers  Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 — $380,000 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 As the Sales Manager for Healthcare & Life Sciences at Anthropic, you'll lead the foundational team introducing our frontier AI platform to the healthcare and life sciences ecosystem — spanning biopharma, payors, and providers. You'll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with biopharma companies, health plans, health systems, and hospitals. You'll bring deep domain fluency across the segment to coach your team's consultative sales approach, while becoming a trusted advisor yourself to senior healthcare and life sciences stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine the team's value proposition, sales methodology, and market positioning to resonate with decision-makers across each sub-segment. The ideal candidate has a passion for developing new market segments within healthcare delivery, payor operations, and life sciences, pinpointing high-potential opportunities across the portfolio, and building a team that can execute strategies to capture them. By driving deployment of Anthropic's emerging products across biopharma, payor, and provider organizations, you'll help healthcare and life sciences enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering biopharma, payor, and provider accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to each sub-segment's distinct procurement cycles — R&D and commercial budgeting in biopharma, value-based care initiatives and Star Ratings priorities for payors, clinical and administrative budgeting for providers — translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, drug discovery and commercial functions, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for healthcare delivery, payor, and life sciences use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic's domain expert across the healthcare and life sciences value chain — including payer operations (claims adjudication, prior authorization, risk adjustment), provider operations, and biopharma R&D/commercial functions — and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite executives (CEOs, CFOs, CMOs, CTOs, CCOs) across biopharma, payor, and provider organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, researchers, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition across the segment Build strategic relationships with healthcare- and life sciences-focused system integrators, health tech vendors, and industry organizations to scale go-to-market capabilities Establish Anthropic's position as the AI partner of choice across healthcare and life sciences through conference presentations, white papers, case studies, and participation in industry forums (e.g., AHIP, NAHU, JPM Healthcare Conference, regional Blues plans associations) Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across biopharma, payor, and provider accounts Minimum qualifications 10+ years of experience in healthcare and/or life sciences, with at least 5 years specifically across payor, provider, or biopharma segments (health plans, managed care organizations, PBMs, health systems, pharmaceutical/biotech commercial or R&D functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in healthcare and/or life sciences settings Deep understanding of business models, operations, and economics across at least one of biopharma, payor, or provider segments — including the regulatory environment (CMS regulations, HIPAA, FDA) and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within healthcare or life sciences organizations, securing strategic deals by understanding both technical requirements and clinical/administrative/commercial use cases Proven experience exceeding revenue targets by effectively managing a team's pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across healthcare and life sciences audiences — from clinicians and researchers to C-suite executives and payor leadership A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across two or more of biopharma, payor, and provider organizations A strategic, analytical approach to assessing the healthcare and life sciences market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning care delivery, population health, administrative efficiency, drug discovery, or commercial life sciences functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications across clinical and life sciences settings, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $550,000 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.