Вакансии

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Insurance) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading insurance carriers and reinsurers. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across property & casualty, life & health, and reinsurance organizations. You'll leverage deep insurance sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into underwriting, claims, actuarial, and policy administration workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for insurance decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across insurance carriers and reinsurers, and running the strategies to win them. By driving deployment of Anthropic's emerging products into insurance enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across property & casualty, life & health, and reinsurance organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Chief Actuaries, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate insurance-specific needs — underwriting, claims, actuarial, policy administration — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in insurance, with demonstrated success covering carrier or reinsurance organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within insurance Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large insurance carriers or reinsurers Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of insurance organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of insurance procurement 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday  platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation. In this role, you will ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations. Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R) Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation. You may be a good fit if you Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines Strong candidates may also have Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements Experience with Workday Accounting Center for complex journal automation and subledger accounting Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses Knowledge of SOX compliance requirements and internal controls for financial systems Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP Prior experience at high-growth technology companies scaling toward IPO readiness Familiarity with Workday HCM and understanding of HCM-Financials integration points Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations 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: $205,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Riyadh, Saudi Arabia Müller's Solutions, a leading tech consulting firm specializing in Tech Outsourcing, Managed Services, and Global Tech Recruitment, is seeking a Senior Knowledge Management Specialist to join our innovative team. With a commitment to optimizing operations and delivering high-quality solutions, we have established a strong reputation across various regions, including Germany, Saudi Arabia, the United Arab Emirates, and Egypt. As a Senior Knowledge Management Specialist, you will lead the development and implementation of knowledge management strategies that facilitate knowledge sharing and enhance organizational learning. You will be responsible for overseeing the design and maintenance of knowledge repositories, capturing critical knowledge assets, and promoting a culture of continuous improvement and information accessibility. Responsibilities Develop and execute knowledge management frameworks and strategies to improve knowledge sharing across the organization Design and maintain comprehensive knowledge management systems, ensuring they are user-friendly and up-to-date Conduct assessments of existing knowledge assets and identify gaps that need to be addressed Foster strong working relationships with internal stakeholders to promote knowledge sharing initiatives Lead training sessions and workshops to educate staff on knowledge management tools and practices Monitor and evaluate the effectiveness of knowledge management initiatives and make data-driven recommendations for improvement Stay abreast of trends and advancements in knowledge management practices and technologies Requirements Bachelor's degree in Information Management, Business Administration, or a related field; Master's degree is a plus Minimum of 5 years of experience in knowledge management or a related field Demonstrated expertise in developing and implementing knowledge management strategies Strong analytical, organizational, and project management skills Excellent communication skills, both verbal and written Experience with knowledge management software and tools Ability to work collaboratively across departments and levels of the organization Knowledge of industry standards and best practices in knowledge management is preferred Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Al Khobar, Saudi Arabia; Tabuk, Saudi Arabia; Yanbu, Saudi Arabia Eram Talent is searching for an Environment and Sustainability Specialist to join their team in Saudi Arabia. The Environment and Sustainability Specialist will work collaboratively with a range of technical specialists on a broad range of projects and will coordinate impact assessments, review and evaluate impacts, develop mitigation measures, and support the development of Environmental and Social Management Plans on behalf of a government client. The role will be a combination of fieldwork and report writing and will be based in client offices in Riyadh, KSA. Key Responsibilities Assist in developing and implementing sustainability policies and procedures across various departments. Conduct environmental assessments and sustainability audits to identify areas for improvement and ensure compliance with local regulations. Coordination and delivery of environmental audits and environmental and social impact assessments. Good understanding and practical experience with international lender standards e.g., Equator Principles and IFC Performance Standards. An understanding of the approach and process steps of environmental impact assessment, and knowledge of regional environmental regulations and their application Professional membership or certification with recognised organisations (e.g., IEMA, CIEEM, CIWEM, IES, PMP Certificate) would be advantageous. Collaborate with project teams to integrate sustainability considerations into project planning and execution. Monitor, analyze, and report on environmental performance metrics. Provide training and guidance to staff on sustainability practices and environmental regulations. Stay informed about emerging sustainability trends and best practices, and recommend innovative solutions. Engage with stakeholders to promote sustainability initiatives and community outreach efforts. Requirements Bachelor's degree in Environmental Science, Sustainability, or a related field. Minimum of 5 years of experience in environmental management, sustainability, or a related field. Strong knowledge of environmental regulations and sustainability frameworks. Coordination and delivery of environmental audits and environmental and social impact assessments. Specification, preparation and coordination of fee proposals for environmental work. Good understanding and practical experience with international lender standards e.g., Equator Principles and IFC Performance Standards. Experience conducting environmental assessments and audits. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to engage various stakeholders. Proficiency in Microsoft Office Suite and sustainability reporting tools. Fluency in English; proficiency in Arabic is an advantage.

Location: Amsterdam, Netherlands; Berlin, Germany; Finland; London, United Kingdom; Prague, Czech Republic; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Security Product Manager to join our team. Security Product Manager is responsible for conveying the company’s security strengths to customers, partners and the market at large. This includes participating in relevant security partnership initiatives , influencing security positioning and branding, and working closely with internal teams to ensure company’s security posture and security products is communicated effectively to all stakeholders. By combining expertise in complia nce requirements with a customer-centric approach, Security Product Manager helps position security as a competitive advantage rather than just an internal obligation. Your responsibilities will include: 1. Product Management Define the vision and roadmap for Nebius’ security products. Owning the ideation, postmortem, prioritization, backlog, and customer feedback processes. Guiding new features, systems and services from inception to launch, while keeping customers at the center of everything. 2. Customer-facing communications Lead public-facing communications around security updates or changes in compliance status. In the event of a security incident, coordinate user messaging (email notifications, press releases, FAQs) with support from the Head of Security Products and CISO. Gather user feedback on user experience and security to guide continuous improvements. 3. Competitive analysis and market research Conduct ongoing research on industry benchmarks, emerging security standards and technologies, and competitor certifications. Identify gaps and opportunities in organization’s product security posture; propose strategic initiatives that differentiate the company’s security story in the market. Stay informed about new regulations or frameworks that may influence future product certifications or transparency requirements (e.g., privacy laws, data sovereignty standards). 4. Certification and audit support, service ownership Collaborate with the CISO office to gather technical evidence or make necessary product enhancements that satisfy certification requirements. Take ownership of some security-related services of Cloud platform. Track and maintain a certification roadmap (ISO 27001, SOC 2, HIPPA, etc.), working closely with CISO, GRC & Compliance, Corporate Security departments. Communicate timelines, goals and status updates to leadership and sales representatives. 5. Cross-functional collaboration Coordinate with multiple Product Managers to align security goals with other product roadmaps, ensuring a consistent narrative between product security and external messaging. Work with Platform Security, GRC & Corporate Security and legal teams to gather essential information for security products enhancements (e.g., penetration test summaries, compliance reports). Work with Customer-facing teams to address client inquiries about security posture and guide them on using security features optimally. We expect you to have: 3+ years of Product Management or Program Management experience with a focus on security initiatives. Basic knowledge of compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) and familiarity with how they translate into business value. Proven ability to communicate technical concepts in a clear, customer-friendly manner (e.g., writing content, speaking at webinars or conferences). Stakeholder management skills to align with other Product Managers, CISO staff, engineering, marketing, and customer-facing teams. Analytical mindset: comfortable defining success metrics (e.g., security feature adoption, NPS around trust, certification progress) and making data-driven decisions. Project management skills: demonstrated ability to manage inter-team collaboration within company-wide projects, ensuring timely delivery of cross-functional tasks and alignment with compliance goals. It will be an added bonus if you have: Certifications such as CISSP, CISM, or PMP; prior experience in regulated industries; prior experience working for Cloud Service Provider. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re looking for Product Engineers who thrive at the intersection of engineering and product thinking. You’ll own features end-to-end—design, build, launch, and iterate—while obsessing over the customer experience and measurable outcomes. Your work will directly shape how thousands of customers interact with our AI-powered customer service platform. WHAT YOU’LL DO - Own feature development from backend services to AI-powered user experiences. - Turn customer feedback into product improvements through rapid iteration and experimentation. - Collaborate closely with Product, Customer Success, and GTM teams to align engineering decisions with business outcomes. - Hold a high bar for code quality testing, monitoring, and reliability are second nature. - Prioritize ruthlessly and navigate changing requirements with autonomy. WHAT YOU'LL BRING - 2+ years of full-stack engineering experience. We are open to hiring mid-level, senior-level and staff-level candidates for this role. - Computer Science, Computer Engineering, Electrical Engineering degree or equivalent experience. - Strong familiarity with AI, LLMs, or AI-assisted systems or a willingness to learn fast. - Outcome-driven mindset: you measure success in impact, not just shipped features. - Comfortable collaborating across engineering, product, and customer-facing teams. - Low ego, high energy, resilient in a fast-paced environment. - Bonus: prior startup, hacker, or founder experience. - Eagerness to work in person with us in NYC full time. BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits - Standing desks and workspace accommodations available on request - All core tools and software provided WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As a Forward Deployed Product Engineer, you'll embed directly with the largest brands in home services — learning how their businesses actually run, then designing and shipping the AI systems that run their front lines. This isn't a solutions role where you hand off specs and stop coding: you own the build end-to-end, from the first customer conversation to a live deployment handling real call volume. And because you have the deepest view of what customers actually encounter, what you learn in the field feeds directly into our core product roadmap. Recent recognition: - How a chance encounter in Texas sparked a $1 billion Kleiner Perkins-backed AI startup | Fortune (2026) https://fortune.com/2026/04/27/avoca-ai-agents-missed-calls-hvac-plumbing-roofing-kleiner-perkins-chen-shrivastava-braswell/ - Should you join: Avoca | Next Play (2026) https://nextplayso.substack.com/p/should-you-join-avoca - Brody Pennell Partners with Avoca to Take On the Full Customer Experience | Yahoo Finance (2026) https://finance.yahoo.com/small-business/articles/brody-pennell-partners-avoca-full-133000847.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAHeUirkv4HWbM90y3rZrET7lZnVIDsrXfVrtcXP2PwMzvm8L3xhB0_N_G4YT5_vNHIn-7gI9gBBQ5WadJmI9jsbSzwiQ0WR4YuztRxHi9vUWZZe8PRbjwLUSaEtaxVT_mZ7TVuTJrGqzpohDYQ1hNhmTWGQJyRW5pR0BV5zMYuYp   WHAT YOU’LL DO - Embed with customers to deeply understand how their business runs, then design and deploy AI voice agents that work from day one. - Build production integrations into customer CRM/FSM systems (APIs, webhooks, and data flows) plus the monitoring and feedback loops that keep them healthy. - Translate messy, real-world business requirements into clean technical architecture and shipped code. - Spot patterns across deployments and turn them into reusable tooling and product improvements that scale beyond a single customer. - Operate with high autonomy in high-stakes, ambiguous environments. - Serve as the on-site technical presence for strategic accounts. WHAT YOU’LL BRING - 3+ years of software engineering experience with strong full-stack or backend fundamentals. We are open to hiring mid-level, senior-level and staff-level candidates for this role. - Computer Science, Computer Engineering, Electrical Engineering degree or equivalent experience. - Proficient | Advanced in TypeScript/JavaScript (Next.js, React, Node/Fastify); comfortable with PostgreSQL and AWS; ships production-grade code. - Excel at communicating complex technical concepts to non-technical stakeholders. - Thrives in fast-paced, ambiguous settings — has delivered systems in dynamic environments with shifting priorities. - Eagerness to work in person with us in NYC full time, with travel to customer sites for key deployments. - Bonus: LLMs, prompt engineering, AI agent frameworks, vector databases, or voice/telephony infrastructure — and an eye for how LLM systems shape user experience. - Bonus: direct customer-facing experience — working with clients to scope, implement, or roll out features. YOUR FIRST 6 MONTHS - Month 1: Onboard into our TypeScript/voice-AI stack, shadow a live deployment, and ship your first production changes to a customer integration. - Month 3: Own the technical build on a strategic account end-to-end — scoping the integration, standing up the agent, and validating it against customer-agreed success criteria. - Month 6: Be the technical owner at go-live for a flagship account, on-site when it counts, with reusable tools or product improvements you've built now running across other deployments.   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits - Standing desks and workspace accommodations available on request - All core tools and software provided WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: Kingsport, United States; Greenville, United States Role Overview The Vice President of Sales & Marketing is the senior-most commercial leader, accountable for: Setting and executing the go-to-market strategy Leading business development efforts across the Southeast Personally driving key pursuits and relationships Building and mentoring a small but highly effective sales/BD function over time This is not a pure “strategist” position. We need a hands-on hunter who can originate opportunities, leverage an existing network of industrial contacts, and generate visible traction within the first 6–12 months—while also providing strategic direction and executive-level leadership. Key Responsibilities 1. Commercial Strategy & Market Development Develop and execute sales and marketing strategy across TN, NC, SC, GA, AL, MS and adjacent regions. Identify and prioritize target markets, clients, and sectors including chemical, power, pulp & paper, industrial manufacturing, and selective data center opportunities. Align pursuit strategy with the operational capabilities and growth goals as part of the broader Comfort Systems USA network. 2. Business Development & Client Acquisition Act as primary hunter for key strategic accounts, with an emphasis on site-level decision makers in industrial facilities. Leverage existing client relationships to create near-term opportunities and backlog. Open new accounts and expand wallet share within target customers (e.g., DuPont, Celanese, and other chemical owners within a 6-hour radius). Collaborate with other Comfort Systems USA operating companies to jointly pursue data center and other large, programmatic opportunities. 3. Relationship Management & Account Growth Serve as the executive face with clients, attending site visits, executive reviews, and industry functions. Build long-term, trust-based partnerships focused on repeat work and multi-project relationships. Ensure continuity of relationships from pursuit through project execution and closeout. 4. Proposals, Contracts & Commercial Governance Oversee the proposal process while remaining personally involved in key pursuits (writing, messaging, structuring value propositions). Ensure high-quality, client-focused proposals and presentations, including PowerPoint decks and pursuit narratives. Perform first-pass commercial and contract review—including redlines and risk assessment—prior to legal input. Provide guidance on pricing strategies, commercial terms, and negotiation approaches. 5. Leadership & Team Development Initially operate as a player-coach , personally driving major pursuits while beginning to shape the sales/BD function. Over time, help identify, mentor, and develop additional BD resources as growth supports team expansion. Foster a culture of accountability, responsiveness, and collaboration with operations, estimating, and project teams. 6. Cross-Functional Collaboration Work closely with operations leadership to ensure sold work aligns with the company's execution capabilities and staffing. Provide market feedback and client insights into strategic planning, budgeting, and forecasting. Support brand positioning initiatives, including marketing messaging, client outreach campaigns, and presence at industry events. Ideal Candidate Profile Experience 20+ years total experience in industrial construction, with 10–12+ years in senior BD/Commercial leadership (Director/VP level or equivalent). Proven track record successfully selling direct-hire industrial construction . Strong consideration given to candidates with EPC/CM backgrounds who have actively sold construction services and can scale to the project sizes. Demonstrated success developing business in one or more of the following: Chemical Power Pulp & paper Industrial manufacturing Data centers (a strong plus) Experience selling projects generally up to $100M (experience on mega-projects is acceptable if the candidate can adjust to scale). Network & Market Knowledge Established, site-level contacts within the company's geographic footprint strongly preferred. Ability to quickly re-activate and expand a network to generate pipeline within the first 90 days. Familiarity with industrial owner decision-making structures and capital project cycles. Skills & Competencies True hunter mentality – proactive pursuer of new work, not a passive relationship manager. Strong communicator with excellent presentation, proposal writing, and PowerPoint skills. Solid commercial acumen with the ability to review and redline contracts before legal involvement. Hands-on, roll-up-your-sleeves leadership style—comfortable operating without a large staff. Entrepreneurial mindset: enjoys building, shaping, and improving processes rather than simply inheriting them. Demonstrated career stability and sustained success in leadership roles (not “testing” VP for the first time). Location & Travel Must be based in or willing to relocate to within 1–2 hours of Kingsport, TN or Greenville, SC . Willing and able to travel frequently within a multi-state region (driving and short flights as needed). Relocation expected within 3–6 months if not currently local. Additional Bonus: Company vehicle and gas card Company phone or monthly phone allowance (currently ~$55/month) Relocation assistance Comprehensive benefits package through Comfort Systems USA Total compensation will be commensurate with experience and the strength of the candidate’s network, track record, and impact potential. Why This Role, Why Now Pivotal seat at the table: You will be the senior leader shaping the company's growth trajectory. Real impact, not bureaucracy: We are not Fluor or KBR—no endless procedures. You can influence decisions and see results quickly. Backlog-ready operations: The company has high-performing construction teams ready to execute the work you bring in. Growth runway: You’re joining at a phase where the right leader can help transform a strong regional player into a much larger force in the industrial markets we serve. Entrepreneurial culture: Roll-up-your-sleeves environment where leadership stays close to clients, projects, and decision-making.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Security, you'll drive execution of high-stakes programs that span security engineering, infrastructure, and cross-functional teams across Anthropic. You'll be responsible for the strategy, planning, and execution of technical security programs that enable Anthropic to meet its Responsible Scaling Policy (RSP) commitments while building towards a security posture that scales with our rapid growth. This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines. Responsibilities: Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organizations Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks You may be a good fit if you: Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders. Have experience executing technical programs that require systems and engineering-level knowledge. Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance. Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organizational challenges. Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries. Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action around security initiatives, policies and procedures. Have a track record for being able to successfully organize, implement and manage complex programs and projects. Are used to working through trade-offs, balancing competing priorities, and having your mind changed. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Saint-Tropez, France; Cannes, France; London, United Kingdom; Dubai, United Arab Emirates; Courchevel, France AHS is seeking a highly experienced Estate Manager with a strong background in 5-star hotel management to oversee the operations of luxury estates within our portfolio. This role demands a professional with exceptional organizational and leadership skills, capable of delivering the highest standards of service and maintenance expected in luxury hospitality environments. The successful candidate will ensure the smooth running of the estate, managing staff and vendors, and providing an unparalleled living experience for the residents. Responsibilities Oversee daily operations of the private residences in London and Dubai and the interior of the yacht (106m), ensuring impeccable standards of maintenance, cleanliness, and service Manage, train, and supervise household and yacht interior staff, fostering a culture of excellence, discretion, and professionalism Coordinate with external contractors, vendors, and service providers across both residences and the yacht to deliver high-quality, reliable service Develop and manage budgets, procurement, and inventories efficiently across all properties and the yacht interior Implement and maintain health, safety, and security protocols compliant with legal and industry standards, including relevant yacht interior SOPs Leverage 5-star hotel management experience to elevate the day-to-day guest/resident experience and service delivery standards across the portfolio Plan and execute private events and gatherings at the residences and/or aboard the yacht, ensuring flawless hospitality and logistics Maintain absolute confidentiality and discretion in all interactions with the family, guests, and staff Act as the primary point of contact for residence and yacht interior matters, coordinating closely with the Owner's Representative and other private asset stakeholders Requirements Minimum 5–8 years' experience in a similar Estate Manager / Household Manager / Private Assets Manager role, ideally with combined residence and yacht interior exposure Proven track record working directly with UHNW/VIP families in a private household or superyacht environment Experience managing multiple properties across different countries (UK and UAE experience strongly preferred) Yacht interior management background (Chief Stewardess, Interior Manager, or similar) is highly desirable Impeccable presentation, discretion, and references from previous principals Strong staff management, budgeting, and vendor negotiation skills Flexible and willing to travel between London, Dubai, and the yacht's location as required Fluent English required; additional languages an advantage

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organizations. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across program delivery, fundraising, research, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the nonprofit landscape. The ideal candidate will be an exceptional salesperson with a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products in the nonprofit sector, you will help organizations amplify their social impact while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within nonprofit organizations. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases within nonprofit program departments, development offices, research centers, and administrative functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Navigate complex stakeholder ecosystems including executive directors, board members, program officers, IT departments, and procurement committees to build consensus and secure strategic deals Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency Build strategic relationships with nonprofit technology platforms, consultants, and sector influencers to expand market reach and create partnership opportunities You may be a good fit if you have: 3+ years of experience prospecting and closing leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical and non-technical stakeholders, and securing strategic deals by understanding multifaceted requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding customer needs and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities Interest in or passion for social impact and mission-driven work. You feel strongly about ensuring frontier AI systems are developed safely and ethically Strong candidates may also have: Experience selling to or working with nonprofit organizations, foundations, or government agencies Understanding of nonprofit operations, including budget cycles, grant funding, and procurement processes Familiarity with nonprofit technology ecosystems, including CRMs (Salesforce NPSP, Blackbaud), fundraising platforms, and program management tools Active involvement in the nonprofit community through board service, volunteering, or prior employment Experience navigating procurement frameworks with budget constraints and multiple approval layers Track record of building strategic partnerships with foundations or corporate giving programs Understanding of specific nonprofit verticals (healthcare, education, human services, environment, arts & culture) 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: $290,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lakin, United States The Chief Financial Officer is responsible for all accounting, budgetary, and financial planning activities within the Hospital. This is a 25-bed critical access hospital, a Long-Term Care Unit, Assisted Living, and Rural Health Clinic. Alongside the leadership team, the CFO will be responsible for: Living the Mission, Vision and Values: Being committed to providing quality, compassionate healthcare services for the community to enrich the lives of our family, friends, and neighbors through service with compassion, teamwork, respect, integrity, value, and excellence. Leadership: Provides visionary leadership that inspires the highest levels of performance in the delivery of health care and business and operational administration. Medical staff relations. Maintains effective and collaborative relationships with the medical staff that inspires and ensures the ability to meet the health needs of the community, advances quality, patient safety, and patient satisfaction. Operational management. Maintains an organized system of management and controls that ensure smooth function of hospital operations, timely accomplishment of goals, financial, and human resource viability and success. Understands the balance between team engagement, patient satisfaction, quality outcomes, and organization stability and success (financial and growth). Quality of care services. Ensures best practice, evidence-based approaches to consistently deliver exceptional, well-coordinated and integrated value-based care that delivers high level outcomes and patient satisfaction while providing personalized care for each patient. Strategic planning. Develops, implements, and executes operational plans that ensure timely strategic goal achievements that both grow and sustain the organization through its mission, values, and vision. Partnerships and negotiations. Develops strategic, collaborative partnerships and ensures skillful negotiations that help to position the organization for regional success. Financial performance. Utilizes financial and analytical skills to lead, monitor and take actions that achieves KCH’s financial stability and long-term success. Community relations. Fosters strong community relations and develops collaborative partnerships that advance the interests of the organization and contribute to the health and well-being of the communities served. Board relations. Manages the functions of the hospital in accordance with the directions set by the board of trustees. Informs and advises the board of trustees on matters that influence and impact hospital performance. Human resources. Provides leadership and ongoing communication that aligns and challenges the workforce, inspires, and promotes fulfillment of the hospital’s mission, vision and values. Regulatory compliance. Ensures legal, regulatory, and accrediting compliance and represents the hospital in relationships with local, state, and federal governing agencies. Works collaboratively with political, professional, and administrative bodies to ensure the hospital is proactive in its strategies, operations, and financials.

Location: Field - New Jersey At Clover Health, our mission is simple but powerful: to improve every life by delivering care that is high-quality, accessible, and rooted in compassion and innovation. Our Clover Care Services (CCS) team brings this mission to life by offering personalized, proactive support to our members while partnering closely with providers to elevate outcomes across the community. Powered by Clover Assistant, our advanced data-driven platform, we combine technology with the heart of caregiving, empowering patients, supporting providers, and transforming the way care is delivered. We are seeking compassionate and driven Lead Physicians and Staff Physicians to join our dynamic Clover Home Care team across Southern, New Jersey . This is a unique opportunity to provide comprehensive primary and supportive care directly in the homes of our most vulnerable members, improving both health outcomes and quality of life. As a Staff Physician, you will: Oversee the care and outcomes for a patient cohort, managing cases directly and in collaboration with our team of nurse practitioners. Conduct in-home and telehealth visits for Medicare Advantage members, leveraging our technology (Clover Assistant and EMR) to deliver high-quality, preventive care. Coordinate with members' interdisciplinary care teams and other providers to create personalized care plans and actively close gaps in care. In addition to the responsibilities outlined above, the Lead Physician will: Provide clinical leadership and mentorship by guiding and supporting nurse practitioners, fostering professional growth, and ensuring the delivery of high-quality, compassionate care across the Clover Home Care team. Advance clinical excellence and outcomes by leading quality improvement initiatives, conducting assurance reviews, and collaborating with the Medical Director and Practice Manager to optimize care processes and performance. You should get in touch if: You hold an MD or DO degree and are board-certified in Internal Medicine, Family Medicine, or Geriatric Medicine. You are excited about practicing in New Jersey, we welcome the opportunity to support relocation for exceptional providers looking to make this region their home. You are (or are willing to become) licensed in New Jersey, with DEA and CDS registrations, we will support you in obtaining these if needed. You bring a minimum of five years of advanced clinical practice experience, with proven expertise in chronic disease management and a strong commitment to improving the lives of vulnerable senior populations. You have prior experience in home care (preferred). You are excited about technology and embrace its use to drive high-quality clinical care and improve member outcomes. Benefits Overview : Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive hourly rate. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Support for Our Clinicians: Professional liability (malpractice) coverage, Clover-branded scrubs, Personal Protective Equipment (PPE), mileage reimbursement at the IRS rate, license and certification renewal reimbursement, and WiFi reimbursement for select roles. Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as company holidays, access to mental health resources, and a generous time-off policy. Full-time employees accrue up to 18 days of vacation per year. Clover recognizes 10 federal holidays, including New Year's Day, Juneteenth, and Christmas. There are also 4 additional paid holidays, and 1 floating holiday. Professional Development: Developing internal talent is a priority for Clover. We offer paid Continuing Medical Education (CME) days, a role-based CME allowance, learning programs, mentorship, and regular performance feedback and reviews. Additional Perks: Reimbursement for office setup expenses Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-ONSITE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $250,000 — $280,000 USD

Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents Review Incident Response metrics and procedures and drive continuous improvement Work cross functionally with other security and engineering teams Note: This position will require participation in an on-call rotation You may be a good fit if you: 3+ years of software engineering experience, with security experience a plus and/or 5+ years of detection engineering, incident response, or threat hunting experience A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Exceptional communication and collaboration skills An ability to lead projects with little guidance The ability to pick up new languages and technologies quickly Experience handling security incidents and investigating anomalies as part of a team Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: Experience performing security operations or investigations involving large-scale Kubernetes environments A high level of proficiency in Python and query languages such as SQL Experience analyzing attack behavior and prototyping high quality detections Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics Experience contributing to a high growth startup environment 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: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Madrid, Spain; Paris, France; Berlin, Germany; Lisbon, Portugal; Rome, Italy As a BMC Helix Administrator (Remote) at Müller’s Solutions, you will play a vital role in maintaining and optimizing our BMC Helix environments. This remote position requires extensive knowledge of the BMC Helix platform, where you will be responsible for administering system configurations, managing user access, and ensuring high availability of our service management processes. You will collaborate with technical teams and stakeholders to implement best practices and streamline operations. Key Responsibilities: Administer BMC Helix applications, including workflows, dashboards, and reports, ensuring optimal performance and reliability. Monitor system health and performance, proactively identifying and resolving issues to minimize downtime. Provide technical support and training to end-users, facilitating the effective use of the platform. Manage system upgrades, patches, and configuration changes in collaboration with cross-functional teams. Document system configurations, maintenance procedures, and best practices for future reference. Analyze system functionalities and stakeholder needs to recommend enhancements and improvements. Stay up-to-date on BMC Helix developments and contribute to the continuous improvement of our IT service management solutions. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of experience in administering BMC Helix or similar IT Service Management platforms. Strong knowledge of BMC Helix architecture, components, and administration. Experience with incident, problem, and change management workflows within BMC Helix. Excellent problem-solving skills and the ability to work independently in a remote setting. Strong communication skills to collaborate effectively with remote teams and stakeholders. BMC certifications or relevant training in ITSM are a plus. Preferred Qualifications: Familiarity with scripting languages for automation (e.g., Python, Ruby). Understanding of Agile methodologies and experience in an Agile environment. Experience with integration of BMC Helix with other enterprise applications. Proven ability to mentor and train junior staff. Proactive approach to system optimization and user support.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.