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Location: Dhahran, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia Eram Talent is excited to announce openings for Fresh Graduates - Engineering to join our dynamic team. We are looking for motivated and enthusiastic graduates who are eager to start their careers in engineering. This is a fantastic opportunity for new graduates to gain hands-on experience, develop their skills, and contribute to innovative projects across various engineering disciplines. You will work closely with experienced professionals, receive mentorship, and participate in real-world engineering projects that will enhance your knowledge and professional growth. If you're ready to launch your career with us, we would love to hear from you! Your application requires a copy of your degree and transcripts. Please submit them along with your job application. Requirements Bachelor's degree in Engineering from an accredited university from any of the below majors : - Mechanical Engineering - Electrical Engineering - Civil Engineering - Chemical / Process Engineering - Drilling Engineering - Petroleum Engineering - Instrumentation & Controls Engineering - Fire Protection Engineering - Environmental Engineering - Safety Engineering - Software Engineering - Industrial Engineering Strong academic performance, with a keen interest in engineering principles and practices Familiarity with engineering software and tools is a plus Excellent communication skills, both verbal and written A team player with strong analytical and problem-solving skills Ability to work in a fast-paced, collaborative environment Proficiency in English (required), Arabic is a plus Willingness to learn and adapt to new technologies and processes

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dammam, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates The KH Finance & Revenue Cycle Management (RCM) Specialist will be responsible for overseeing the financial management, healthcare revenue cycle, insurance claims, billing validation, reconciliation, budgeting, and financial reporting activities for KAUST Health. The role will work closely with KAUST Health leadership, Finance teams, healthcare operators, insurance companies, and other stakeholders to ensure accurate and timely processing of invoices, quotations, insurance claims, and payments. The position will play a key role in reducing claim rejections and denials, improving collections, identifying financial discrepancies, maintaining budgetary control, and ensuring transparency and compliance across healthcare financial and revenue cycle activities. Key Responsibilities Review and validate healthcare invoices, quotations, and financial transactions for accuracy and compliance. Manage and monitor healthcare Revenue Cycle Management (RCM) and insurance claim processes. Validate insurance claims and ensure accurate and timely submission to insurance companies. Monitor claim rejections, denials, resubmissions, and collections and implement corrective actions. Lead claims, payment, and account reconciliations with healthcare operators and insurers. Prepare and monitor annual budgets, forecasts, and expenditure controls for KAUST Health. Prepare monthly financial, variance, revenue, and RCM performance reports for management. Track key financial and RCM KPIs and identify risks, discrepancies, and revenue optimization opportunities. Coordinate with KAUST Finance, Health leadership, healthcare operators, and insurers to resolve financial and claims issues. Support audits, compliance, financial controls, and process improvements to enhance revenue cycle efficiency. Requirements Education Bachelor’s degree in Finance, Accounting, Business Administration, Healthcare Management, or a related field. Bachelor’s degree in Finance or Accounting is preferred . Master’s degree in Finance, Accounting, Business Administration, or a related field is preferred. Professional certifications such as CPA, CMA, ACCA, or equivalent are an advantage. Experience Minimum 6 years of relevant professional experience. At least 3 years of experience in a Lead, Senior Specialist, Supervisor, or equivalent role . Proven experience in healthcare finance, healthcare revenue cycle management, medical billing, insurance claims, or healthcare financial operations . Strong experience in insurance claim validation, submission, reconciliation, rejection/denial management, and collections . Proven experience in financial analysis, budgeting, forecasting, and management reporting . Hands-on experience managing and monitoring healthcare budgets and expenditures . Experience working with healthcare operators/providers and insurance companies . Experience identifying and resolving billing discrepancies, claim discrepancies, rejected claims, and payment variances . Experience preparing financial and RCM reports for senior management .

Location: North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted About Brave: Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://brave.com/blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models Develop and prototype security-focused training and fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection You may be a good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they are trained Experience applying security principles (e.g., information flow control, access control/least privilege) Demonstrated success in bringing clarity and ownership to ambiguous technical problems A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Skills That Will Set You Apart from the Competition Knowledge of AI Systems (pipelines, security evaluation, etc.) Open source projects on security/privacy Experience with confidential computing and ZKP/SMPC protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: Islamabad Capital Territory, Pakistan Finance Executive Finance · Full-time· In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally With $350M+ in revenue, 400+ teammates across 8 countries, and 1M+ customers worldwide, we are shaping the brands that will define the next decade. Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity The analyst supports accurate and timely financial accounting, general ledger maintenance, reconciliations, month-end close and financial reporting, with the related control activities. The role requires sound accounting knowledge and independent judgement in reviewing transactions, investigating variances and resolving discrepancies, managing assigned accounts independently while escalating complex, unusual or high-risk matters to the Manager. What You'll Own General Ledger Ownership: Maintain accurate financial records, journal entries, account classifications, and supporting documentation while ensuring GL and Chart of Accounts integrity. Period-End Close: Execute month-end, quarter-end, and year-end close activities, including accruals, provisions, prepayments, depreciation, and required reconciliations. Account Reconciliations: Prepare and review balance sheet and control account reconciliations, investigate variances, and resolve aged or unsupported items within defined timelines. Financial Reporting & Analysis: Prepare reporting schedules and accounting inputs while analyzing account-level variances, trends, and material movements for management reporting. Treasury, Payables & Fixed Assets: Manage bank reconciliations, supplier balances, accruals, prepayments, and fixed asset records, ensuring accurate accounting and timely resolution of discrepancies. Intercompany Accounting: Process and reconcile intercompany transactions, confirmations, settlements, and eliminations while investigating and resolving counterpart differences. Audit, Compliance & Controls: Support internal and external audits, maintain complete audit trails, enforce finance policies and controls, and proactively escalate control gaps and financial risks. Systems & Process Improvement: Maintain accurate ERP data, coordinate with cross-functional finance and operations teams, and drive process standardization, automation, and continuous improvement. Skills & Qualifications Educational Background: Bachelor’s degree in Accounting, Finance, Commerce, or a related discipline; professional accounting qualification or part-qualification is an advantage. Relevant Experience: 4–6 years of experience in Finance & Accounts, General Ledger, R2R, or financial accounting, with hands-on month-end close, journal entries, and reconciliations. Accounting Expertise: Strong understanding of accounting principles, double-entry bookkeeping, accruals, provisions, prepayments, depreciation, intercompany accounting, and balance sheet controls. ERP & Reporting Systems: Proven experience working with ERP and financial reporting systems, with exposure to audit processes and internal controls. Advanced Analytical Skills: Strong reconciliation and variance-analysis capabilities, with advanced Excel proficiency including formulas, lookups, and pivot tables. Ownership & Accuracy: High level of accountability and attention to detail, with the confidence to challenge unusual, unsupported, or high-risk financial entries. Professional Execution: Strong problem-solving and communication skills, with the ability to exercise sound judgment, maintain confidentiality, and deliver accurately under tight reporting deadlines. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

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; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Vice President of Hardware Quality to lead the vision, strategy, and execution of quality across our global hardware ecosystem. This leader will be responsible for ensuring quality is embedded throughout the product lifecycle — from early product development through manufacturing, supplier management, and field performance. Working closely with Hardware Engineering, Supply Chain, Operations, Membership Services, Finance, and manufacturing partners, you will build scalable systems, drive operational excellence, and create a culture of continuous improvement that enables WHOOP to deliver exceptional products and member experiences at scale. RESPONSIBILITIES: - Define and execute a comprehensive quality strategy spanning product quality, manufacturing quality, supplier quality, field quality, and containment across the hardware lifecycle. - Build, lead, and develop a world-class global quality organization that enables operational excellence and unlocks growth and scale. - Partner closely with Hardware Engineering and Product Development teams to ensure robust quality planning, validation, and risk mitigation throughout new product introduction and sustaining engineering activities. - Establish quality metrics, operating mechanisms, and executive reporting frameworks that provide visibility into quality performance, risks, and opportunities across the supply chain. - Drive closed-loop quality improvement initiatives by connecting field performance, reliability testing, manufacturing data, supplier performance, and product design insights. - Lead supplier quality programs, including qualification processes, factory audits, corrective and preventive actions, and strategic supplier development efforts across a global manufacturing network. QUALIFICATIONS: - 10+ years of leadership experience in hardware quality, manufacturing quality, supplier quality, or related functions supporting consumer electronics, wearable technology, or other complex hardware products. - Demonstrated success building and scaling high-performing quality organizations in fast-paced, high-growth environments. - Deep understanding of consumer electronics manufacturing processes, including electro-mechanical assemblies, PCB/SMT manufacturing, batteries, plastics, and critical component qualification. - Experience working with global manufacturing and supplier partners and managing quality across geographically distributed operations. - Expertise in quality systems and methodologies, including statistical process control, auditing, corrective and preventive action programs, root cause analysis, FMEA, Design for Manufacturing, Lean manufacturing, and Six Sigma principles. - Strong executive communication and stakeholder management skills with the ability to influence decisions through data-driven insights and cross-functional partnership. - Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Quality Engineering, or a related technical discipline. - Willingness and ability to travel up to 25% internationally to support manufacturing partners, suppliers, and quality initiatives. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $200,000-$300,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

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 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 Docker does not offer visa sponsorship for this role. Compensation & Equity United States: $203.7K – $291K OTE + equity ______________________________________________________________________ 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, 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking a Director, Security Engineering & Operations to lead the teams responsible for enterprise security engineering and security operations. Reporting directly to the CISO and serving as a senior member of the Security leadership team, this leader will shape strategy, lead a growing team of managers, engineers, and analysts, and drive measurable security outcomes across a fast-moving technology environment. This is a leadership role for someone who has successfully scaled security operations in complex, high-growth environments and brings strong security engineering experience. The right leader combines strategic judgment with strong technical depth, staying close enough to the work to set a high bar for engineering quality, guide critical technical decisions, and lead effectively through significant security events. This leader will play a significant role in shaping the team, operating model, and technical roadmap as WHOOP scales, advancing capabilities across security engineering, detection and response, incident management, security automation, identity, cloud, endpoint, SaaS, data protection, and other enterprise security domains. As WHOOP expands its use of AI across member-facing products, internal technology, and engineering, and continues to evolve its capabilities in health, this leader will help ensure security scales alongside the company's technology, data, regulatory, and threat landscape. RESPONSIBILITIES - Lead Security Engineering and Security Operations, defining strategy, priorities, technical standards, performance expectations, and measurable outcomes across both functions. - Advance a risk and threat-informed detection and response program that connects priority threat scenarios to the telemetry, detections, investigation capabilities, response procedures, and operational controls required to address them, including identity-centric, data protection, and insider risk scenarios. - Lead security incident readiness and response, including escalation, incident command for significant events, cross-functional coordination, post-incident review, and accountability for follow-up actions. - Guide the engineering and operationalization of preventive and detective security controls across identity, endpoint, cloud, SaaS, infrastructure, data, AI-enabled systems, and other high-value enterprise environments, while setting a high bar for technical design, testing, documentation, maintainability, and lifecycle management. - Lead the security strategy and engineering approach for AI-enabled products and enterprise AI adoption, including access controls, sensitive data handling, model and application security, third-party integrations, tool and agent permissions, monitoring, auditability, and secure use of AI across the company. - Drive an outcome-oriented approach to security technology and managed services, maximizing the effectiveness of existing capabilities, making disciplined decisions about when to automate, build, buy, or use external partners, and holding security partners accountable to measurable outcomes. - Drive disciplined execution across the security engineering and operations portfolio through effective prioritization, roadmap and backlog management, capacity planning, metrics, ownership, and operating cadence. - Lead, coach, and develop managers, engineers, and analysts, setting clear expectations for technical quality, judgment, ownership, execution, and professional growth. - Strengthen collaboration across Product Security, Security Architecture, Platform, Fraud, Engineering, IT, GRC, Legal, Privacy, and other business functions, creating clear ownership and effective operating relationships across organizational boundaries. - Partner with the CISO on organizational design, workforce planning, hiring, and development of the capabilities required as the Security organization evolves, while providing clear, data-driven communication on security posture, operational performance, significant risks, and strategic priorities. QUALIFICATIONS - 10+ years of experience in information security, with deep experience in Security Operations and meaningful experience across Security Engineering in complex technology environments. - 5+ years of people leadership experience, including multiple years managing managers and senior technical individual contributors. This is not a first-time people leadership role. Demonstrated strength in hiring, coaching, performance management, organizational design, and raising the bar for team quality and execution. - Deep technical expertise in detection engineering, SIEM and telemetry strategy, incident response, and modern security operations, including experience leading significant security incidents. - Proven ability to drive disciplined execution across priorities, roadmaps, backlogs, metrics, and ownership, while maximizing existing capabilities before introducing additional technology. - Experience managing MDR, MSSP, or similar security partners and holding them accountable to measurable operational outcomes. - Experience securing AI-enabled products, enterprise AI adoption, or AI development environments, including risks related to sensitive data, models, agents, third-party services, access, and monitoring. - Strong judgment and relationship-building skills, with a track record of working effectively across technical, product, risk, legal, and senior leadership teams. - Experience in health technology or another sensitive-data environment is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $220,000-$245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote-Friendly, United States 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 building AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before. The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning. What you'll do Own the NPI program for each new power or cooling product (BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register. Drive early supplier design engagement: translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams. Lead DFM/DFT/DFx reviews with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field. Plan and run prototype and pilot builds: define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure. Qualify the product for deployment: define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness. Hand off to steady state: transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps. Build the reliability picture: run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision. Coordinate cross-functionally with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules. Keep suppliers honest: track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them. You may be a good fit if you have 8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp. Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics). Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents. Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA. Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate. Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process. Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation. Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences. A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience. Willingness to travel 30–40% to supplier factories and data center sites, including internationally. Strong candidates may also have Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time. NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM. Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar). Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems. Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs. Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration). Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: England; Portugal; Spain; Italy; Germany 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. _______________________________________________________________________ Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies. This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion. You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team. Docker does not offer visa sponsorship for this role.   Compensation & Equity EU: €119K – €170K + equity ______________________________________________________________________ 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: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for a Senior HR Operations Specialist to help build and scale the people infrastructure behind a rapidly growing, global organization. This role sits between day-to-day HR administration and HR Operations leadership. While our HR Coordinator supports routine administrative tasks and employee requests, the HR Operations Specialist will own more complex operational workflows, HR systems, benefits and payroll coordination, compliance processes, and process improvement. You’ll work closely with HR, Finance, Legal, IT, and external partners to ensure our People operations are accurate, scalable, and built to support continued growth. We’re looking for a strong operator who can take ownership of a problem, understand how the pieces connect, and build a better process—not someone who simply follows an existing checklist. WHAT YOU’LL DO HR OPERATIONS & EMPLOYEE LIFECYCLE - Manage more complex employee changes, including compensation updates, promotions, employment status changes, transfers, and organizational changes. - Partner with managers and cross-functional teams to resolve employee lifecycle issues and operational escalations. - Develop scalable workflows, documentation, and controls as the company grows. HR SYSTEMS, DATA & AUTOMATION - Design and improve workflows, automations, permissions, custom fields, reporting, and system configurations. - Maintain strong data integrity and establish processes for regularly auditing employee information. - Build reporting and dashboards for headcount, employee changes, benefits, and other People metrics. - Identify manual processes that can be automated or eliminated. - Partner with IT, Finance, and other teams on integrations and system improvements. FINANCE PARTNER AND BENEFITS OPERATIONS - Partner with Finance and payroll providers to ensure employee changes are accurately reflected in payroll. - Support the administration and ongoing improvement of employee benefits programs. - Coordinate open enrollment, qualifying life events, employee eligibility changes, and carrier/vendor processes. - Manage operational relationships with benefits and HR vendors and help troubleshoot escalated issues. - Build processes and controls that improve payroll and benefits accuracy as headcount grows. COMPLIANCE & GLOBAL OPERATIONS - Support HR compliance requirements across the employee lifecycle, including required documentation, recordkeeping, and employment changes. - Partner with Legal and external advisors on HR compliance initiatives. - Support state registrations and other operational requirements associated with employing people across multiple jurisdictions. - Help manage operational processes for international employees, contractors, and global employment partners. - Maintain organized, audit-ready HR records and documentation. - Identify compliance or process risks and escalate them appropriately. PROCESS DESIGN & OPERATIONAL EXCELLENCE - Build and maintain HR playbooks, SOPs, workflows, and internal documentation. - Evaluate existing processes and redesign them to be more efficient, scalable, and employee-friendly. - Establish clear ownership and handoffs between HR, Recruiting, Finance, IT, Legal, and managers. - Create controls and checkpoints for high-risk HR processes. - Use data and operational trends to identify recurring issues and recommend solutions. - Take ownership of HR Operations projects from problem identification through implementation. WHAT WE’RE LOOKING FOR - 5+ years of experience in HR Operations, People Operations, or a similar role. - Strong working knowledge of core U.S. HR operations, including payroll, benefits, onboarding/offboarding, employee changes, and compliance. - Hands-on experience administering and improving an HRIS; experience with Rippling is a plus. - Experience building or improving HR workflows rather than solely executing established processes. - Strong systems orientation and comfort working with HR data, reporting, and automation. - Exceptional attention to detail, particularly when working with payroll, compensation, benefits, and employee data. - Strong project management and organizational skills. - Ability to independently investigate issues, identify root causes, and drive them through resolution. - Strong judgment and discretion when handling sensitive employee information. - Comfortable working in a fast-growing environment where processes are still being built.   Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $120,000 – $180,000, depending on experience, skills, scope, and location. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.   OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. WHAT YOU'LL DO IT support, Services and Vendor management - Own day to day end user support across hardware, software, accounts and access requests, serving as the primary point of contact through Console helpdesk and Slack. - Run full IT onboarding and offboarding, including device provisioning through JumpCloud and Apple Business Manager, account setup and the new hire IT and security session. - Own IT asset and inventory management across all offices, tracking hardware through its full lifecycle from procurement and assignment to refresh and retirement, with an accurate inventory - Improve and document IT processes, including workflows, runbooks and onboarding guides, and drive down recurring ticket volume. - Manage the SaaS portfolio, including licenses, renewals, enterprise tier upgrades and rightsizing spend. - Lead vendor management and vendor security reviews, evaluating new tools, negotiating pricing and terms and onboarding approved vendors. - Own onsite IT, networking and AV across all Rain offices, including UniFi network management, conference room infrastructure and physical security systems Automation, agentic AI and identity engineering - Design and build automation that eliminates manual toil across IT, HR and security, from simple scripts to agentic AI workflows. - Architect and operate identity lifecycle automation in Okta and Okta Workflows, including joiner mover leaver provisioning and instant deprovisioning across the SaaS stack. - Write and maintain scripts and lightweight internal integrations in Python and JavaScript to connect platforms that lack native integrations. - Build AI assisted helpdesk deflection and self service flows that resolve common requests automatically and route the rest with context attached. - Identify high leverage automation opportunities and ship reliable, monitored solutions with proper error handling and alerting. - Document all automation processes, system architecture and Okta configurations thoroughly so the work is maintainable and knowledge transfers cleanly. Security and Compliance - Support SOC 2 Type II, PCI DSS and GDPR efforts, including evidence collection, access reviews and control monitoring using tools such as Vanta. - Help enforce endpoint and access security across CrowdStrike, JumpCloud and Okta, including device posture and conditional access. - Assist with security alert triage and incident response in coordination with the IT Manager. YOU ARE LIKELY TO SUCCEED IF YOU HAVE: - 3 or more years in IT support, IT systems engineering or automation engineering, ideally at a startup or hypergrowth company. - Hands on Okta administration experience, including SSO, MFA, Group Rules and Universal Directory, with Okta Workflows a strong plus. - Scripting and automation proficiency in Python and JavaScript for API interaction and system management. - Familiarity with a modern SaaS and endpoint stack such as Google Workspace, Slack, JumpCloud, CrowdStrike and more. - Hands on experience with office networking and AV such as UniFi, and comfort supporting onsite infrastructure across multiple offices. - A working understanding of compliance frameworks such as SOC 2, PCI DSS and GDPR and how IT controls map to them. - Strong end user support instincts and excellent written and verbal communication. - A bias toward action and genuine comfort wearing many hats and filling gaps across corporate IT and security on a small team. NICE TO HAVE: - Experience in fintech, payments or another regulated and high compliance environment. - Experience with agentic AI tools and building AI powered internal workflows. - Vendor negotiation and SaaS cost optimization experience. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  As a Tech Linguistic Tester 1, you will primarily be proofreading and editing content already localized to your native language, making sure that you catch any errors in the content, such as: grammar, typos, syntax, punctuation, capitalization, political incorrectness, inconsistencies, and extra spaces between words or characters. You will sometimes be translating content from English to your native language. You will also be checking UIs for functional issues. Job Description The following is a non-exhaustive list of responsibilities and areas of ownership for this role: • Write and report relevant bugs and errors using best practices through internal database system. • Ability to undertake and prioritize tasks and issues quickly and efficiently. • Native language skills and cultural awareness of native country. • Good oral and written communication. • Highly organized with attention to detail and a commitment to quality. • QA various products in by accurately following testing instructions and test cases. • Discover and report defects (bugs) using client specific bug tracking tools. • Evaluate translations in the context of software, mobile apps and documentation. • Be a subject matter expert for linguistic issues in the target language; be able to research and resolve linguistic questions. • Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries. • Troubleshoot basic problems; be able to communicate effectively and escalate testing issues. • Complete assigned tasks in a timely manner and of high quality. Experience • Ability to work onsite and/or well as client location. • Native-level or fully bilingual fluency (both spoken and written language) in required language(s). • Up-to-date awareness of current and common technical language usage in the target language. • Strong English skills, both written and verbal. • Experience with MS applications (Outlook, Word, Excel, PowerPoint). • Ability to navigate networks and websites with different browsers. • Basic knowledge of PC-hardware (desktop and laptop). • Basic knowledge of smart phones (iPhone or Android). • Familiarity with Android and iOS operating systems.. • 3+ years professional translation & localization experience. • Familiarity with native culture and trends. • Avid user of social media with familiarity with Facebook Family of Apps. • Experience with consumer devices that provide utility like messaging, health, fitness, calendar, organization. Key Competencies and Requirements • Strong Company & Industry Awareness. • Can establish & Develop Processes and procedures as part of a client program. • Strong Problem-Solving skills as to arrive at optimal solution. • Shows excellent Time Management skills. • A Plan-Do-Check-Act cycle approach to tasks and workloads. • Takes Ownership of deliverables. Be organized and able to work in a fast-paced environment. • Candidates with Localization/QA/translation experience or with advanced computer skills are preferred. Knowledge of common technological terms in English and target language. Flexibility with varying hours.