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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 Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in. Key responsibilities Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts Monitor external manager performance and maintain a manager bench with clear performance reporting Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity Develop and operationalize a capital planning framework across operating and strategic liquidity tiers Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures Minimum qualifications Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management Experience with an in-house investment program, including direct fixed income trading Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight Experience developing and implementing Treasury policies and SOX-ready controls Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements Familiarity with the Investment Company Act of 1940 and relevant exemptions Preferred qualifications 10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management Experience in a high-growth technology environment Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity Familiarity with integrating cash forecasting into investment laddering FX/derivative trading experience to act as back up trader for risk team CFA charter The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Worldwide Workplace: hybrid Job description | Nurse Tasks:   Within his/her field of activity as a Nurse, he/she is responsible for assisting the present ship's Doctors in medical matters. Furthermore, the Nurse has to fulfill all activities, duties and tasks within his/her department.   ·   Ensuring a smooth process in the board hospital; administrative and medical support during consultation hours ·       Admitting passengers and crew members ·       Handing over General Terms of Conditions (GTC) and declaration of consent to passengers or crew for signature before consultation and treatment ·       Scanning diagnostic findings, GTCs and declaration of consent ·       Assisting during medical examinations and treatments (e.g. lab test, plastering, changing bandages, X-ray, ECG etc.) ·       Handling telephone and email communication ·       Support in the treatment of emergencies and patients with acute illnesses ·       Management of the pharmacy (check first in - first out principle) ·       Control of pharmaceutical stocks and consumables ·       Ordering medication, supplies and stationery in consultation with Doctor and under economical aspects ·       Monitoring and disposing expired drugs on a monthly basis (s. Checkliste Verfallsdaten) in the hospital and 2nd hospital; except narcotics. ·       Handling daily posting procedure (bills) and collecting signature from the Doctor   ·       Portfolio maintenance of oxygen cylinders ·       Keeping, printing and sending out checklists (e.g. O2-inventory list) ·       Keeping, signing and printing out checklists (daily/weekly/monthly checklists) ·       Transmitting the Notification of Accident ·       Entering accidents in RiscConnect System in cooperation with the Doctor ·       Sterilisation of instruments ·       Cleaning and disinfecting of immediate working environment ·       Control of medical devices ·       Assisting in all life-threatening emergencies - "Mike Mike" on board ·       Participation in all ship-related and medical team safety drills and training, as well as assisting the doctor with first aid courses and medical team drills ·       Participating in on-all duties (24 hours) ·       Ordering water and stationery ·       Complying with the Medical Manual / SQM (e.g. process of disembarkation, death onboard, water testing etc.) ·       Conducting hygiene controls regarding water and fresh water (Colilert-18 Test) and Legionella prevention ·       Participation as a protocolist in ship’s hygiene inspections ·       Monitoring and enforcement of the ship’s integrated pest management ·       Assists the Doctor in the preparation of the audit ·       Portfolio maintenance of the medical equipment list ·       Participating in and contributing to annual equipment maintenance and documentation of medical product books ·       Documented handover and familiarization of his/her replacement (Handover notes, Familiarization Form, Instruction of laboratory equipment, Instruction of medical equipment)  ·       Collection of login data for new staff from IT Administrator on board ·       Assists the Doctor in coordinating with Chief/Crew Purser in cases of medical disembarkation or referral shoreside ·       Coordination of local purchase of medications ·       Final review and delivery of checklists to Medical Department Hamburg ·       Participation in cabin inspections ·       Maintenance of the vaccination database and administration of necessary vaccinations on Doctor’s order ·       Compliance with all infection control measures and implementation of appropriate measures ·       Inventory and reordering of infection control materials Checking the first-aid kits and eye wash bottles on board   ONLY FLUENT GERMAN SPEAKING CANDIDATES WILL BE CONSIDERED. QUALIFICATIONS: ACLS/PALS X-ray expertise Basic Safety Course (STCW) security Awareness Training Valid German medical fitness certificate for sea service, (original document) 2 year experience in an emergency room/intermediate care unit/intensive care room Vaccination pass incl. yellow fever-,hepatitis A + B, MMR vaccination (original pass)

Location: Toronto, Ontario, Canada About the Role iCapital is seeking an experienced, results-oriented Manager to lead the Outbound Sales team within the Alternative Investment Distribution group. This individual will oversee a team of Outbound Sales Analysts whose mission is to introduce financial advisors to the iCapital platform, drive registrations, build advisor profiles, and nurture advisors to their first trade. This role is ideal for a proven inside sales leader who combines a deep understanding of alternative investments and the wealth management distribution landscape and able to coach, motivate, and scale a high-volume outbound Sales team. Responsibilities Manage a team of Outbound Sales Analysts executing 75+ calls per day per analyst targeting financial advisors not currently active on the iCapital platform. Set daily, weekly, and monthly performance targets; monitor and report on KPIs including call volume, registrations, advisor profiles completed, CRM compliance, and first-trade conversions. Conduct regular 1:1s, call coaching sessions, and team huddles to drive continuous skill development and performance improvement. Identify top performers and create development paths; address performance gaps proactively with structured improvement plans. Foster a high-energy, accountability-driven team culture aligned with iCapital's values. Own the team's outbound prospecting strategy, including prioritization of prospect lists segmented by AUM, firm type, channel, and alternative investment affinity. Develop and refine call scripts, objection-handling frameworks, and advisor profiling playbooks used by the analyst team. Partner with Marketing and Sales Enablement to ensure the team has compelling, current content and platform messaging for each advisor’s segment. Coordinate with Senior Relationship Managers to ensure seamless handoff of high-potential advisors flagged for escalation. Ensure 100% same-day CRM logging across the team; audit data quality and enforce standards for advisor profiles, call notes, and pipeline stages. Leverage CRM reporting (Salesforce) and outbound sequencing tools (Outreach) to identify pipeline trends, conversion bottlenecks, and territory opportunities. Deliver weekly pipeline and performance reports to Sales leadership. Partner with Product Specialists to schedule and coordinate advisor education touchpoints, webinars, fund spotlights, and platform demos that accelerate readiness to trade. Collaborate with Recruiting and Human Resources on analyst hiring, onboarding, and ramp planning as the team scales. Provide field intelligence to the broader Distribution and Product teams based on advisor feedback and objection patterns. Qualifications Bachelor's degree in finance, business, economics, or a related field 10+ years of inside sales or financial services experience, with at least 1–2 years in a team lead, supervisory, or management capacity Demonstrated ability to manage and develop high-volume outbound sales teams in a structured, metric-driven environment FINRA Series 7 and Series 63 licenses are required FINRA Series 24 license required or must obtain within 30 days of hire Strong proficiency with Salesforce CRM and outbound sequencing tools (Outreach or equivalent) Excellent communication and coaching skills; ability to motivate a team and influence without authority Data-driven approach to performance management and pipeline analysis Familiar with alternative investments and the wealth management distribution ecosystem Experience supporting or selling into RIAs or independent broker-dealers Track record of improving team conversion metrics and reducing ramp time for new hires Benefits We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. The base salary range for this role is CAD 130,000 to CAD 170,000. iCapital offers a comprehensive benefits package that includes a competitive total compensation package consisting of salary, bonus, and equity for all full-time employees. The Company pays 100% of the premium for all Group Benefits for you and your dependents.  Some of these benefits include medical, dental, vision, prescription, life insurance and long-term disability.  We offer a variety of Retirement Plans which have a company match.   We offer unlimited Paid Time Off (PTO) and most employees the flexibility to work in the office three to four days and remotely for the remainder of the week.  Every department has different needs, and some positions will be designated in-office jobs, based on their function. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to support a fair and inclusive workplace, in which all applicants have an opportunity to fulfill their potential and every person has the right to equal treatment with respect to employment without discrimination.  iCapital does not tolerate any discrimination contrary to the Ontario Human Rights Code, including on the grounds of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.

Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Pro team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in Rust and work agile around the globe.   THE OPPORTUNITY - Design and implement robust Rust services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact. - Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security. - Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions. - Work alongside hundreds of experienced Rust engineers, contributing to a high-performance, product-driven engineering culture.   WHAT YOU BRING - 7+ years of software engineering experience - Experience building financial trading focused products - Proficient in writing network services or asynchronous code in Rust - Have a security-first mindset during system design to ensure robustness - Demonstrate the ability to autonomously debug issues across the stack (OS, network, application) - Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions - Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems - Take complete end-to-end ownership of systems and libraries - Provide mentorship to other engineers while contributing to defining the technical culture Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Dubai, United Arab Emirates Kaizen is looking for an experienced Director of Unit Management to lead our secondary market strategy, drive property transaction volume, optimize unit portfolio performance, and deliver sustainable revenue and asset value growth. This role goes beyond traditional sales management the Director will shape and execute the secondary market commercial strategy, end-to-end unit lifecycle management, strengthen stakeholder relationships, and align operations with Kaizen’s long-term business objectives. You will lead a high-performing team, nurture B2C client relationships , and collaborate cross-functionally to deliver seamless property transactions, superior unit performance, and exceptional client experiences. Key Responsibilities Unit Portfolio Performance Develop and execute secondary market strategies for resales, off-plan resales, leasing, and unit disposition — driving transaction volume, market share, and revenue Own end-to-end unit portfolio management: inventory oversight, valuation, pricing, marketing readiness, and lifecycle optimization from listing to close Maximize asset value, minimize holding periods, and optimize yield through data-driven pricing, targeted promotion, and timely disposition Monitor UAE/GCC market trends, supply-demand dynamics, regulatory updates, and competitor activity to inform pricing and positioning Track portfolio KPIs: sales velocity, days on market, price realization, lease renewal rates, vacancy, and revenue per unit B2C Growth & Platform Services Own full P&L, revenue targets, client satisfaction, and profitability for the B2C homeowner division Design and execute acquisition, engagement, and monetization strategies anticipating key lifecycle moments (ready to sell, revalue, lease, renovate) to deliver timely, trusted solutions Build, scale, and optimize a partner-led service marketplace; onboard, manage, and assure quality across provider networks Leverage existing developer, property manager, and owner relationships to accelerate growth ahead of competitors Define commercial models, pricing, and service standards; oversee end-to-end client experience and recommend strategic adjustments (expand, refine, or pivot) based on performance Client, Stakeholder & Relationship Management Build and maintain trusted relationships with individual homeowners, buyers, tenants, investors, developers, brokers, and institutional partners Drive client retention, repeat business, and referrals through proactive engagement, transparent communication, and personalized guidance Lead commercial negotiations, valuations, listing agreements, tenders, and complex transactions — tailoring solutions to individual client needs Represent Kaizen as a market expert; uphold service excellence and trust across all client interactions Operational Excellence & Process Leadership Establish clear KPIs, accountability frameworks, and reporting standards across transactions, listings, portfolio performance, and client satisfaction Continuously refine end-to-end journeys — from inquiry → consultation → valuation → transaction → post-closing support & services Leverage CRM, analytics, valuation tools, and digital solutions to boost productivity, market intelligence, and client engagement People Leadership & Culture Lead, mentor, and develop a high-performing team across secondary market sales, unit management, and B2C services Set clear objectives, coach for results, and nurture expertise in transaction excellence, B2C relationship-building, and service delivery Foster a collaborative, client-first, high-performance culture; role-model Kaizen’s values and leadership standards Requirements Bachelor’s degree in Business, Finance, Real Estate, or related field; MBA or advanced degree preferred Significant leadership experience in secondary market sales, property transactions, portfolio management, B2C growth, or marketplace/platform businesses Deep proven knowledge of the UAE/GCC real estate market , regulations, valuation practices, and transaction workflows Strong B2C track record : successfully advising individual owners, buyers, and tenants; building trust, explaining complex processes clearly, and delivering high satisfaction Proven ability to grow revenue, optimize portfolios, and scale service lines with measurable results Experience building partner ecosystems, marketplace models, or platform-led services Established network across developers, investors, property owners, brokers, and key stakeholders in the UAE/GCC Strong commercial acumen: P&L ownership, pricing strategy, forecasting, negotiation, and stakeholder management Fluent English; Arabic is a strong advantage Strategic thinker who translates vision into actionable plans and measurable results

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 Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations. Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum qualifications Experience as a people manager Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research Experience performing content review, abuse investigations, or policy enforcement at volume Proficiency in SQL and/or Python for data analysis and threat detection Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company Experience with large language models and an understanding of how AI technology could be misused for cyber operations Experience operating within abuse monitoring programs or enforcement review systems Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Experience working with government agencies, regulated environments, or information sharing communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. This dynamic and engaging role does not fit the average definition of Desktop Support. For SIE, the Studio IT Support Specialist possesses a mix of skills and experience often found in desktop support, helpdesk support, and limited system administration roles. The right candidate is versed in a wide range of client technologies; responsible not only for the implementation, maintenance, and highest level of performance-tuning for client technology, but also for being a champion for strong working relationships directly with the people who utilize that technology. This is a customer service role and fundamental to its success is building and maintaining support relationships with internal business teams, promoting trust, setting expectations, and achieving mastery in customer service. The ability to think strategically at a fast pace, troubleshoot accurately while navigating interdependent system relationships - all while driving multiple projects to successful completion in tight, shifting deadlines is the reality of this position. Please note, flexibility is possible, but this is considered primarily an in-person role, reporting daily to offices located in Playa Vista, California. Responsibilities Provides helpdesk-level coverage and support for internal clients. Coordinates, diagnoses, and troubleshoots incoming employee requests for support according to established process Solve technical problems and information technology issues involving desktop, laptop or network services from local personnel or from employees using network remote access. Collaboration with remote sites expected and encouraged Provides timely resolution of problems or escalation on behalf of customer to appropriate technical personnel Develops, documents, and implements standard operating procedures and customer service guidelines relating to IT support Perform first and second level support and troubleshooting for workstation and mobile systems Interface directly with end users in peril, lead and resolve incidents in an efficient manner, maintaining the highest levels of customer support and response and documentation Establish and maintain direct relationships with business units as a support resource and contributing member of the production teams Organize the unorganized, communicate thoroughly and effectively in both written and spoken forms across the organization Work proactively to determine potential issues existing in the environment. Apply performance tuning techniques where applicable Research new trends and technologies leading to testing and justification for deployment Be available off hours for scheduled, week-long on-call rotation, which will include system maintenance and emergencies Perform inventory management of team resources; apply workstation build technologies; configure and manage user account provisioning and permissions Be eager to grow and develop new skills and tackle special projects as needed Required Skills Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully Strong in client hardware and software; strong email/messaging troubleshooting experience; mid to advanced-level understanding of Windows OS Skilled in Microsoft Office Suite and other production software packages (Adobe, Maya, Zbrush, Visual Studio, etc.) Must understand and communicate system concepts to end users and technical teams Familiar with the concepts behind a distributed build system; familiarity with enterprise storage technologies (SAN, NAS, iSCSI) – NetApp, EMC, HDS ideal; basic networking skills; knowledge of security concepts and industry best practices Ability to interact effectively with others on varying technical competency, vendors, management, and staff Manages competing demands and changes approach or method to best fit the situation Takes responsibility for own actions; Keeps commitments; Commits to required work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Is actively available to respond when needs arise Volunteers readily, undertakes self-development activities and seeks increased responsibilities; asks for and offers help when needed Operates across multiple projects concurrently and assumes responsibility for implementation of projects Preferred Experience Linux and Mac OS experience are both a strong plus Appreciation and experience in platform/computer/video gaming is preferred! #LI-SMS #LI-AM1 Avoid Recruitment Scams/Phishing Attempts: Please be aware that any official outreach in response to your application will always be done from a @sony.com email address . Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying. Anyone using an email that is not @sony.com is not affiliated with us and should be reported either via the platform they are contacting you on or directly to your email service as a phishing attempt/scam. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $86,000 — $129,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. 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 landscape. The ideal candidate will have 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, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities 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 You may be a good fit if you have: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams. Key responsibilities Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations Minimum qualifications JD from an accredited law school and active membership in at least one US state bar Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences Preferred qualifications 8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls Familiarity with model evaluation, capability testing, or AI safety concepts A background that combines private practice and in-house experience Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting Excellence at cross-functional collaboration Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards Understanding of how to build constructive long-term relationships with regulators and standards bodies Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 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 A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives Cross-functional Leadership Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive Work with marketing and partner teams on how we position our safeguards externally Minimum requirements: Have 10+ years of experience. Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software. Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations. Are an excellent written communicator and able to drive clarity out of complexity. Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike. Preferred requirements Prior product experience in trust & safety, security, privacy, or compliance. Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap. Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. Background in AI safety, content moderation, or abuse-detection systems. Designed incident-response or escalation processes that span more than one company. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation . We are seeking a Lead Character Tools Engineer to join the PlayStation Central Technology team focusing on Character technology from creation, rigging, and animation.  Developing and distributing tools and optimizing for making the best characters in games more efficiently and integrating emergent technology into the future of game making. Candidate expected to prototype, create, and collaborate to deploy and maintain technical tools and practices from experience on traditional game development and run-time workflows with internal teams and seek new opportunities for bringing increased usage of AI and ML to make those processes more efficient. This internal team of artists, engineers, and technical artists partner with engineering teams, studio stakeholders, research engineers, and other Central Technology groups to provide cohesion and standardization across PSS activities. This position requires a demonstratable understanding of game development pipelines, extensive experience with Autodesk Maya software, and strong programming skills.  Familiarity with leveraging agentic workflows to accelerate code creation and testing. Responsibilities: Collaborate with internal team members and studio stakeholders to prototype and harden create tools considering contemporary development workflows, data management, art creation, animation, and game engine integration Setting up and maintaining project specific environments and automation opportunities Learning and supporting varying client working environments, assets, and tools Writing, maintaining, and customizing internal tools and workflows Building and maintaining technical documentation Willingness to attend and participate in PlayStation internal demonstrations and conferences, travel required Ability to work in a collaborative team environment as well as self-driven experimentation and research Core Experience: Experience as technical artist or engineer to develop and deploy tools to support character creation, rigging, simulation, or animation pipelines in a run-time environment 10+ years in a game development studio or previous experience creating artist-facing tools on technical art or engineering team in a production environment BS degree in Computer Science, Engineering, Graphic Art, or a related field, or equivalent experience Extensive experience in working with game editors and excellent working knowledge of technical specifications of workflow from DCC to complex real-time environments Capable of writing and debugging C++ Excellent knowledge of Maya with general knowledge of Maya rigging Developing or maintaining project pipeline tools and system environments Excellent troubleshooting skills and the ability to creatively solve problems Experience leveraging Agentic AI models Strong understanding of deformation and mesh processing Familiarity with industry trends in character rigging, gameplay animation, cinematic animation, deformation and simulation usage in character animation pipelines Decent sense of humor Extended Experience: Strong Python programming skills and experience with PyQt/Pyside Motionbuilder, Maya, Houdini, experience Experience with HLSL, MaterialX Experience with other programming languages, especially C++. Experience with Perforce, Git, Confluence Exposure to photogrammetry, motion capture/performance capture At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $143,700 — $215,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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 Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas. The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace. You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces. This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves. *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. Key responsibilities Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement Minimum qualifications Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information Preferred qualifications Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators Experience using agentic AI tools to scale a team's analysis and operations 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: $330,000 — $395,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The next wave of enterprise transformation is being built by the Global Systems Integrators and every one of them is racing to stand up AI transformation and AI governance practices for their clients. Docker's AI Governance strategy is the natural infrastructure layer underneath that motion, and we need a senior partner leader to make that connection real, commercially, at scale. We're looking for a Principal, GSI & SI Partnerships to build and lead Docker's engagement with the world's largest consultancies and systems integrators; Accenture, Deloitte, EY, KPMG, and others, as both a strategic force multiplier for our AI Governance narrative and a tactical revenue engine through co-sell. This is a dual-altitude role. At one level, you are the executive relationship-holder who gets Docker a seat at the table inside GSI AI practices; shaping how they build, package, and go to market with AI transformation offerings. At the other, you are the operator who turns those relationships into pipeline: enabling sales teams, building joint plays, and driving deals to close. You will define how Docker becomes the trusted infrastructure partner GSIs build their AI consultancy motions on top of and how they make money doing it. KEY STAKEHOLDERS & CROSS-FUNCTIONAL PARTNERSHIPS - Primary: CRO and Sales Leadership; Global Alliances Leadership; Partner Leadership Team - Primary: Professional Services, Field Sales and Solutions Engineering teams (co-sell enablement and execution) - Secondary: Product Marketing, Demand Generation, Ecosystem Marketing - Secondary: Cloud & Channel Partnerships, Technology Alliances, Product Management - External: Accenture, Deloitte, EY, KPMG, and other GSIs/SIs including their AI/GenAI practice leadership, industry verticals, and delivery organizations _______________________________________________________________________ RESPONSIBILITIES GSI Strategy & Executive Engagement - Own Docker's global GSI/SI partnership strategy, prioritizing and sequencing engagement across Accenture, Deloitte, EY, KPMG, and other top-tier consultancies. - Build and sustain executive-level relationships with GSI AI/GenAI practice leaders, identifying where Docker's AI Governance capabilities plug directly into their existing AI transformation and consulting offerings. - Develop the strategic narrative and business case that positions Docker as the infrastructure and governance layer GSIs need to de-risk and scale their clients' AI initiatives. - Represent Docker in executive briefings, QBRs, and joint planning sessions with GSI leadership, establishing Docker as a preferred, differentiated partner rather than a vendor line item. - Partner with Professional Services and field teams to both share appropriate service assets and build the service’s capabilities Docker needs in the partner ecosystem to serve our mutual customers. Commercial Model & Monetization - Design and articulate a clear "how GSIs make money with Docker" story, connecting Docker's AI Governance platform to GSI services revenue, delivery methodologies, and staffing models. - Build joint solution offerings and packaged plays with GSIs that combine their advisory/delivery capability with Docker's platform, creating a repeatable, sellable motion for both sides. - Negotiate and structure commercial frameworks (referral, resale, co-delivery) that align incentives and make Docker an attractive, profitable practice area for GSI partners. Align with Professional Services to build the service partner capacity needed to augment PS. Tactical GTM & Co-Sell Execution - Own end-to-end co-sell execution with GSI partners, from lead generation and account mapping through joint pursuit and deal closure. - Partner directly with Docker's field sales organization to identify target accounts, build joint account plans, and drive GSI-sourced and GSI-influenced pipeline. - Build the enablement infrastructure (playbooks, battlecards, training) that equips both Docker sellers and GSI teams to identify, position, and close joint opportunities. - Establish a consistent cadence of joint pipeline reviews with GSI partners and internal sales leadership, ensuring strategic intent translates into closed revenue. AI Governance Practice Integration - Work closely with Product and Product Marketing to translate Docker's AI Governance framework (Containment, Curation, Control) into language and assets GSI practices can readily adopt into their own AI transformation offerings. - Identify and prioritize the GSI industry verticals and use cases (e.g., regulated industries, agent-based transformation) where Docker's governance story creates the clearest differentiation and urgency. - Partner with GSIs to co-develop points of view, joint IP, and reference architectures that embed Docker into their AI transformation methodology. Team & Program Leadership - Build out the GSI/SI partnership function as it scales — defining coverage models, hiring needs, and operating rhythms as engagement deepens across additional GSIs. - Serve as a member of the Partner Leadership Team, contributing GSI/SI strategy and results to the broader partner ecosystem narrative. - Report on GSI-sourced and GSI-influenced pipeline and revenue, practice development progress, and joint GTM plan execution to executive stakeholders. _______________________________________________________________________ QUALIFICATIONS - 12+ years in partnerships, alliances, or GTM leadership, with substantial direct experience building and running relationships with GSIs/SIs (Accenture, Deloitte, EY, KPMG, or similar) at a B2B SaaS, infrastructure, or enterprise technology company. With strong existing network at the GSI senior exec level. - Proven track record of building joint commercial models with GSIs and converting relationships into measurable co-sell pipeline and revenue. - Experience navigating GSI internal structures, practice leadership, industry verticals, delivery organizations and knowing how to get a technology partner embedded into their offerings. - Familiarity with AI/GenAI transformation programs, consulting delivery models, and how GSIs structure and monetize AI advisory and implementation work. - Background in developer tools, cloud-native infrastructure, or AI/security ecosystems is a strong advantage. SKILLS & COMPETENCIES - Executive presence with the credibility to engage GSI practice leaders and partner C-suite as a peer. - Dual fluency in strategy and execution, equally comfortable shaping a multi-year GSI strategy and running a weekly pipeline review with field sales. - Strong commercial and deal-structuring acumen; able to design win-win economics that make Docker a priority practice for GSI partners. - Skilled cross-functional operator, able to align Sales, Product, and Marketing behind a coherent GSI engagement motion. - Data-driven: comfortable owning GSI-sourced/influenced pipeline reporting and practice development metrics. - Excellent narrative and positioning skills, able to translate Docker's AI Governance story into language that resonates with consulting and advisory audiences. LEADERSHIP & MINDSET - A senior partner leader who has built a GSI/SI function from the ground up and knows how to earn a seat inside a consultancy's practice, not just a line on their partner list. - Comfortable operating at the intersection of strategic influence and tactical deal execution, this is not a purely strategic or purely operational role. - Global mindset, with the ability to prioritize and sequence engagement across a portfolio of GSIs and geographies. - Genuinely energized by the opportunity to hitch Docker's AI Governance story to the world's largest AI transformation engines. - Key Performance Indicators - GSI-sourced and GSI-influenced pipeline and revenue growth - Number and depth of active joint GTM motions with priority GSIs (Accenture, Deloitte, EY, KPMG, and others) - Executive relationship coverage and engagement depth across target GSI AI practices - Joint offering/IP development milestones (co-branded solutions, reference architectures, playbooks) - Field sales adoption and utilization of GSI co-sell enablement and plays Visa sponsorship: Not available for this role. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $203.7K – $291K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Account Manager San Mateo, CA / Hybrid We are looking for a Senior Account Manager, reporting to the Global Account Director within the Strategic Segment. This individual will be the first point of contact and responsible for supporting the day-to-day business activity and overall health of the assigned partner(s). They will work internally across Sony Interactive Entertainment (SIE) and with external partner(s) to deliver agreed commercial and strategic objectives globally. Key Responsibilities: Own day-to-day business for assigned partner studio(s), ensuring smooth operation and hand-off of operational needs through internal teams, ensuring overall health of the Partner is being addressed. Develop and maintain comprehensive knowledge of all aspects of the Partner’s business, portfolio, and long-term strategic vision. Identify business opportunities across Partner’s portfolio and live services. Provide guidance and be a potential first point of partner contact for content pipeline and other operational or technical situations that impact the rhythm of the business. Communicate business, platform, and policy updates to Partners. Execute the Studio Relationship Development Program, evangelizing the PlayStation opportunity across the developer landscape and generating strategic alignment with studios. Contribute to or create account/account segment reports, present data and insights to internal and external teams. Execute external and internal business planning sessions to meet the needs of the Partner (JBRs, JBPs, Content Lifecycle Plans, Performance Reviews, Post-Mortems, and overall governance). Work as a collaborative team member within the Partner Commerce Team in establishing and executing Partner plans; understanding market dynamics, shifting consumer demands, and helping adjust priorities/account plans to meet future market needs. Support SIE’s operating models, plans, and deliver against collective Partner/SIE annual KPIs. Identify and deliver content suitable for specific platform activity and campaigns (PlayStation Services, PlayStation Direct, etc.). Be a team player with a focus on building internal and external relationships and excellent collaborative cross-functional collaboration skills and team mentality. Assist with the facilitation of Partner’s participation at PlayStation PR/media events and B2B requests. Participate in yearly budgeting and quarterly forecasting for the account set, helping to set expectations internally of the market, release slate, and overall status of the business. Participate in and support joint business reviews, Monthly/Weekly team meetings, business performance reviews. Input, monitor and track CRM progress through Salesforce. Support Account and process documentation assigned by Global Account Director. Qualifications: Bachelor’s degree in Business, Marketing, Communications, or a related field, or commensurate relevant experience. 10+ years of experience in Sales, Account Management, Publisher Relations, Studio Relations, Technical Account Management or other relevant service-oriented roles that manage revenue. Strong communication (verbal and written) and interpersonal skills. Analytically minded with data experience. Experience working in Video Gaming, Media, Entertainment, High-tech, or other associated verticals is a plus. #LI-SV1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $161,300 — $241,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Finance Data Governance Consultant (Contract) *This is a 12 month temporary assignment Sony Interactive Entertainment is seeking an experienced, hands-on Finance Data Governance consultant to help establish and operationalize SIE’s Finance Data Governance capability. The role will partner across Finance and Technology to define governance standards, document critical Finance data and lineage, establish data quality controls, govern master data and hierarchies, and support priority Finance data products. The ideal candidate should have 8+ years of experience in data governance, Finance transformation, or Finance data management, with strong knowledge of financial processes and systems. Experience with SAP S/4HANA, Snowflake, data catalog/governance platforms such as Atlan or Collibra, and enterprise reporting tools is preferred. The candidate should be comfortable working independently in a greenfield environment and translating complex Finance and technical requirements into practical, sustainable governance processes. Responsibilities: Establish the Finance Data Governance Foundation Assess the current maturity of Finance data governance, documentation, ownership, controls, and data management practices. Design and implement a practical Finance Data Governance operating model, including roles, decision rights, governance forums, workflows, escalation paths, and operating cadences. Create governance standards, procedures, templates, decision logs, issue-management routines, and approval processes that Finance and Technology teams can use in practice. Build the Finance Data Inventory and Business Glossary Identify and inventory priority Finance data domains, systems, tables, reports, interfaces, data products, calculations, mappings, and critical data elements. Document business definitions, ownership, stewardship, approved usage, security classification, refresh frequency, and downstream dependencies. Resolve conflicting definitions across Accounting, FP&A, management reporting, statutory reporting, and regional Finance teams. Prepare metadata for publication in an enterprise data catalog and establish workflows for maintaining, reviewing, approving, and retiring governance documentation. Document Data Lineage and Finance Transformation Logic Map data from source systems through integration, transformation, consolidation, reporting, and analytical consumption. Document business rules, transformation logic, mappings, allocations, eliminations, adjustments, currency translation, and reconciliation points. Identify manual transformations, uncontrolled spreadsheets, duplicated logic, missing ownership, and lineage gaps, and support impact assessments for upstream changes. Partner with technical teams to distinguish business lineage from physical and technical lineage. Establish Data Quality and Financial Data Controls Define practical Finance data quality standards, rules, thresholds, monitoring requirements, and acceptance criteria. Build a data quality rule inventory and support issue identification, triage, root-cause analysis, ownership, remediation, escalation, and closure. Develop data quality scorecards and maintain traceable and auditable evidence for approvals, exceptions, reconciliations, and remediation activities. Govern Finance Master Data and Hierarchies Document and govern Finance master data, reference data, mappings, and hierarchies, including accounts, cost centers, profit centers, entities, products, regions, currencies, scenarios, and reporting periods. Define ownership, approval, versioning, effective dating, and change-control requirements. Partner with master-data and technology teams on future hierarchy-management and Master Data Management initiatives, including business requirements, process design, testing, and downstream-impact assessment. Support Priority Finance Data Products Apply governance standards to priority Finance data products and procedures. Support documentation and validation of SAP financial and consolidation data, including ACDOCA and ACDOCU where applicable. Help document data flows and reconciliation requirements across SAP, consolidation and reporting platforms, Snowflake, Domo, planning tools, and downstream reports.· Support the development of governed enterprise context and semantic layers for reporting, analytics, and AI-enabled Finance use cases. Drive Adoption and Manage Delivery Facilitate workshops, prepare executive-ready updates, develop training materials, and coach data owners and stewards on their responsibilities. Translate complex Finance and technical concepts into clear documentation and decisions. Establish a repeatable onboarding approach for new data domains and data products. Promote governance as an enabler of faster, more reliable reporting and analytics rather than as an administrative exercise. Develop and maintain a prioritized governance backlog with defined owners, deliverables, dependencies, and completion criteria. Work independently, identify missing requirements, and move ambiguous work toward resolution. Required Qualifications: 8+ years of experience in data governance, Finance data management, Finance transformation, financial systems, data quality, metadata management, or related consulting roles. Demonstrated experience establishing or materially improving a data governance and data strategy capability in a complex enterprise. Strong understanding of Finance processes, including general ledger, management reporting, financial consolidation, planning, forecasting, close, and reconciliation. Experience documenting financial data definitions, business rules, mappings, hierarchies, lineage, controls, and data quality requirements. Experience partnering with Finance, Accounting, FP&A, data engineering, business intelligence, security, and enterprise technology teams. Ability to distinguish business ownership and governance responsibilities from technical platform and engineering responsibilities. Strong facilitation skills and the ability to drive decisions across stakeholders with different priorities. Demonstrated ability to create detailed, usable deliverables with limited existing documentation or structure. Strong written communication skills with the ability to produce both detailed working documentation and executive-level summaries. Experience working in a consulting, transformation, or contractor environment where measurable deliverables and knowledge transfer are required. Ability to operate independently in an ambiguous, fast-moving, greenfield environment. Bachelor's degree or equivalent. Preferred Qualifications Experience with SAP S/4HANA Finance and related financial data structures, consolidation, or group reporting (e.g., ACDOCA, ACDOCU). Experience with cloud data platforms, enterprise analytics/reporting tools, and data governance/catalog platforms (e.g., Snowflake, Tableau, Power BI, Domo, Atlan, Collibra, Purview, or similar). Strong understanding of data quality and architecture, including SQL, data profiling/reconciliation, dimensional modeling, semantic layers, hierarchies, and modern data architectures. Experience working with Finance data in SOX-controlled or audit-sensitive environments, including data supporting automation and AI; consulting, Finance transformation, or enterprise data advisory experience preferred. #LI-SV1 At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below. $129,600 — $194,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities Manage timelines, resource requirements, and regular reporting associated with the AI for Science program Work closely with partners to understand their technical and operational needs and translate them into deployment plans Comfort with early technical prototyping and testing to help learn alongside and unblock partners Contribute to a research agenda for understanding AI's impact on individual labs across domains Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Represent Anthropic at global scientific convenings and conferences Help shape team processes and culture as we scale our Life Science work You may be a good fit if you have: 2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project A genuine drive to maximize impact for underserved communities High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Willingness to travel for occasional partner visits and conferences Strong candidates may also have: Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Experience working with philanthropic foundations on science funding Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product Background in wet lab research with an ability and aptitude for scientific communications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $215,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.