Вакансии

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue. Over 5000 businesses, almost 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5. About the role 🤓 We’re looking for a Fraud Optimization Specialist to strengthen the performance of our detection systems. You will analyze fraud patterns, enhance controls, guide new product launches, and partner with Product, Data, and Operations to design scalable, tech-enabled solutions. This is a hands-on, impact-oriented role for someone who thrives at the intersection of analytics, risk strategy, and cross-functional execution. Your insights will help us reduce losses, accelerate safe growth, and continuously upgrade our fraud ecosystem. What challenges you'll be solving 🚀 Identify opportunities to reduce fraud losses on different streams and improve overall profitability, leveraging advanced risk rules and Machine Learning scores. Assess fraud risks for new features, launches, and markets, advising Product and Operations, identify control gaps, and define remediation plans. Develop and maintain executive dashboards (Metabase/Tableau) to track fraud performance, financial exposure, and other metrics; provide concise fraud insights, trends, and recommendations to leadership. Support and implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement. Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls, translating complex fraud risk scenarios into scalable, tech-driven solutions. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Professional development workshops or seminars. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and Adeslas. Urban mobility by using your own bike with Kleta. Free access to healthy, organic, and sustainable fruits and snacks. Moreover, we offer a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include various activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. What you’ll need 🫱🏼‍🫲🏽 5+ years of experience working with fraud detection technologies within fintech, payments, BNPL, or e-commerce, from rule creation to performance optimization. Proficiency in SQL and data visualization skills (Metabase, Looker, Tableau, Power BI, etc.), with ability to build dashboards, automate monitoring, and interpret large data sets. A proven track record of delivering fraud risk assessments, gap remediation, and fraud prevention strategies Excellent communication and collaboration skills, with ability to influence cross-functional stakeholders, across product, operations, and compliance. We kindly ask that you submit your CV in English , as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Warsaw, Poland Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. What You’ll Do Platform & Systems Management Tech project management: Manage technology-related projects end to end — defining requirements, building timelines, tracking progress, and identifying improvements that serve broader project goals. LMS management (WordPress & LearnDash): Own the day-to-day health of our WordPress-based LMS and LearnDash plugin — user administration, course administration, email flows, bulk imports, new features, configuration, and troubleshooting. CRM & Marketing Automation (Salesforce & Salesforce Marketing Cloud): Act as first point of contact for Salesforce and SFMC — build and test journeys, landing pages, and lead magnets; investigate and resolve issues the Operations team can't solve; escalate and follow up when needed. System integration: Serve as the architect making sure LMS, CRM, Marketing Cloud, and Power BI talk to each other correctly — designing and implementing the technical architecture for data flows between platforms, including low-code integrations. Data integrity & reporting: Review data integrity across LearnDash, Salesforce, and Power BI; execute queries and build reports/extracts for non-technical stakeholders; handle large-scale data reviews (including million-row datasets) when needed. Website support: Provide general technical support for the website and coordinate with relevant resources to resolve issues. Compliance & security: Help bring the LMS environment up to the organization's IT and security standards, acting as liaison between the Education team, developers/cloud providers, and Security/Legal/IT. Marketing Operations & Growth Campaign execution: Build, test, and launch email and lifecycle campaigns in Salesforce Marketing Cloud — segmentation, audience building, A/B tests, send scheduling, and deliverability hygiene. Landing pages & lead capture: Build and ship landing pages and forms based on designs provided by the internal design team; ensure correct lead routing into Salesforce, field mapping, deduplication, and follow-up automation. Tracking & attribution: Own the measurement layer — GA4, Google Tag Manager, conversion pixels, UTM taxonomy and enforcement — so that every campaign, source, and channel is measurable end to end. Lifecycle & retention automation: Design automated flows across the student lifecycle (onboarding, course progress nudges, re-engagement, certification, upsell) connecting LMS events to CRM and Marketing Cloud triggers. Martech stack & compliance: Own the marketing technology stack and its integrations; keep consent management, cookie compliance, and data handling aligned with privacy requirements and company policy. AI for marketing: Apply the same builder mindset to marketing — AI-assisted copy and creative variants, campaign localization at scale, automated performance summaries, and audience insight tooling. Technical Bridge & Coordination Stakeholder liaison: Serve as a primary point of contact between internal stakeholders (especially the development team) and business operations, translating business needs into functional technical specifications. Specification writing & QA: Write clear technical specs, replicate scenarios, and fully test in QA and production before rollout. Documentation: Keep the operations manual and technical documentation current and useful for the team. Cross-functional project leadership: Lead multi-month initiatives (e.g., new catalog builds, platform redesigns, global/language expansions, migrations) from scoping through to launch — defining KPIs, coordinating between design/development/vendors, and testing at every step. AI Development & Innovation AI builder mindset: Go beyond being “AI-savvy” — actively explore, prototype, and build AI-powered solutions that improve how the team works and how students learn (e.g., translation tools, automation of repetitive data tasks, AI-assisted reporting). Tool development: Design and build practical AI tools and workflows (e.g., custom Gemini/Claude “gems”/assistants, scripts, or low-code automations) to solve real operational bottlenecks — not just use off-the-shelf AI features. Exploration & evaluation: Stay current on emerging AI tools and platforms relevant to EdTech operations, and proactively propose where they could create value (efficiency, personalization, translation, content scaling, etc.). AI project ownership: Take end-to-end ownership of AI-driven initiatives — from investigating alternatives and setting up integrations, to testing and rolling out to production (as previously done with AI-powered course translation tooling). Responsible use: Use AI tools in a way that's compliant with company confidentiality and data-security standards, and only with company-approved systems. What You Need For This Role You have a solid, broad understanding of technology and digital platforms, and you're comfortable getting hands-on rather than just directing others. You have 5+ years of experience managing Education and Marketing tech projects. You are genuinely curious about AI and see it as a tool to build with, not just a topic to discuss — you've built something with AI before (a workflow, an automation, an integration, a tool). You bring project management skills with a track record of leading initiatives from scope to delivery. You're a strong communicator who moves comfortably between technical and non-technical audiences. You're a proactive problem-solver, able to identify needs and find the right solutions, people, and tools without waiting to be asked. You understand marketing funnels and growth metrics (CPL, CAC, conversion rate, LTV) and can translate them into technical requirements. Hands-on experience with marketing automation and campaign tooling (Salesforce Marketing Cloud strongly preferred) is highly valued. Familiarity with GA4, Google Tag Manager, and conversion tracking setups is a strong plus. You are comfortable owning both the plumbing and the outcome — not just that the campaign sends, but that it performs. Experience with WordPress and/or LMS platforms (ideally LearnDash) is a strong plus. Familiarity with CRM systems (Salesforce/Salesforce Marketing Cloud preferred) and data/BI tools (Power BI) is highly valued. You're highly organized, detail-oriented, and capable of managing multiple concurrent projects. You're a self-starter, comfortable working independently. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a proactive, resourceful, and AI-forward Tech & Marketing Operations Specialist to manage our technology projects, keep our learning platforms running seamlessly, and power the marketing engine that brings students to them  This role suits someone with a broad technical fluency who thrives on coordination, troubleshooting, and hands-on building. You don't need to be a professional developer, but you do need to be comfortable using tech tools to design, prototype, and ship real solutions.  The position will be based at the Madrid office with a hybrid work model. What You’ll Do Platform & Systems Management Tech project management: Manage technology-related projects end to end — defining requirements, building timelines, tracking progress, and identifying improvements that serve broader project goals. LMS management (WordPress & LearnDash): Own the day-to-day health of our WordPress-based LMS and LearnDash plugin — user administration, course administration, email flows, bulk imports, new features, configuration, and troubleshooting. CRM & Marketing Automation (Salesforce & Salesforce Marketing Cloud): Act as first point of contact for Salesforce and SFMC — build and test journeys, landing pages, and lead magnets; investigate and resolve issues the Operations team can't solve; escalate and follow up when needed. System integration: Serve as the architect making sure LMS, CRM, Marketing Cloud, and Power BI talk to each other correctly — designing and implementing the technical architecture for data flows between platforms, including low-code integrations. Data integrity & reporting: Review data integrity across LearnDash, Salesforce, and Power BI; execute queries and build reports/extracts for non-technical stakeholders; handle large-scale data reviews (including million-row datasets) when needed. Website support: Provide general technical support for the website and coordinate with relevant resources to resolve issues. Compliance & security: Help bring the LMS environment up to the organization's IT and security standards, acting as liaison between the Education team, developers/cloud providers, and Security/Legal/IT. Marketing Operations & Growth Campaign execution: Build, test, and launch email and lifecycle campaigns in Salesforce Marketing Cloud — segmentation, audience building, A/B tests, send scheduling, and deliverability hygiene. Landing pages & lead capture: Build and ship landing pages and forms based on designs provided by the internal design team; ensure correct lead routing into Salesforce, field mapping, deduplication, and follow-up automation. Tracking & attribution: Own the measurement layer — GA4, Google Tag Manager, conversion pixels, UTM taxonomy and enforcement — so that every campaign, source, and channel is measurable end to end. Lifecycle & retention automation: Design automated flows across the student lifecycle (onboarding, course progress nudges, re-engagement, certification, upsell) connecting LMS events to CRM and Marketing Cloud triggers. Martech stack & compliance: Own the marketing technology stack and its integrations; keep consent management, cookie compliance, and data handling aligned with privacy requirements and company policy. AI for marketing: Apply the same builder mindset to marketing — AI-assisted copy and creative variants, campaign localization at scale, automated performance summaries, and audience insight tooling. Technical Bridge & Coordination Stakeholder liaison: Serve as a primary point of contact between internal stakeholders (especially the development team) and business operations, translating business needs into functional technical specifications. Specification writing & QA: Write clear technical specs, replicate scenarios, and fully test in QA and production before rollout. Documentation: Keep the operations manual and technical documentation current and useful for the team. Cross-functional project leadership: Lead multi-month initiatives (e.g., new catalog builds, platform redesigns, global/language expansions, migrations) from scoping through to launch — defining KPIs, coordinating between design/development/vendors, and testing at every step. AI Development & Innovation AI builder mindset: Go beyond being “AI-savvy” — actively explore, prototype, and build AI-powered solutions that improve how the team works and how students learn (e.g., translation tools, automation of repetitive data tasks, AI-assisted reporting). Tool development: Design and build practical AI tools and workflows (e.g., custom Gemini/Claude “gems”/assistants, scripts, or low-code automations) to solve real operational bottlenecks — not just use off-the-shelf AI features. Exploration & evaluation: Stay current on emerging AI tools and platforms relevant to EdTech operations, and proactively propose where they could create value (efficiency, personalization, translation, content scaling, etc.). AI project ownership: Take end-to-end ownership of AI-driven initiatives — from investigating alternatives and setting up integrations, to testing and rolling out to production (as previously done with AI-powered course translation tooling). Responsible use: Use AI tools in a way that's compliant with company confidentiality and data-security standards, and only with company-approved systems. What You Need For This Role You have a solid, broad understanding of technology and digital platforms, and you're comfortable getting hands-on rather than just directing others. You have 5+ years of experience managing Education and Marketing tech projects. You are genuinely curious about AI and see it as a tool to build with, not just a topic to discuss — you've built something with AI before (a workflow, an automation, an integration, a tool). You bring project management skills with a track record of leading initiatives from scope to delivery. You're a strong communicator who moves comfortably between technical and non-technical audiences. You're a proactive problem-solver, able to identify needs and find the right solutions, people, and tools without waiting to be asked. You understand marketing funnels and growth metrics (CPL, CAC, conversion rate, LTV) and can translate them into technical requirements. Hands-on experience with marketing automation and campaign tooling (Salesforce Marketing Cloud strongly preferred) is highly valued. Familiarity with GA4, Google Tag Manager, and conversion tracking setups is a strong plus. You are comfortable owning both the plumbing and the outcome — not just that the campaign sends, but that it performs. Experience with WordPress and/or LMS platforms (ideally LearnDash) is a strong plus. Familiarity with CRM systems (Salesforce/Salesforce Marketing Cloud preferred) and data/BI tools (Power BI) is highly valued. You're highly organized, detail-oriented, and capable of managing multiple concurrent projects. You're a self-starter, comfortable working independently. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 40,000. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Implement and maintain Terraform/OpenTofu modules for Azure App Services, Container Apps, Function Apps, Azure SQL, Cosmos DB, and Postgres, following designs defined by the Azure Architect. Implement identity wiring (managed identities, SPN/app registrations) and secrets integration (Azure Key Vault, OpenBao) for Azure workloads.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Trading OS team, reporting to the Director of OTA Platform. You’ll work closely with lead engineers, Revenue Management, and commercial leaders to define and deliver the long-term product vision for Trading OS, creating shared data, tools, and capabilities that power pricing, packaging, promotions, and availability across markets. Together, the team will focus on enabling commercial and AI teams to configure, test, and automate commercial changes safely and quickly at scale, reducing dependency on engineering and enhancing decision-making. Trading OS sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Partner with engineering, Revenue Management, and commercial leaders to define the Trading OS roadmap, outcomes, metrics, and investment priorities. - Build flexible tools, APIs, and data models that enable commercial teams to configure, test, and roll out pricing, packaging, and availability changes. - Work closely with Engineering on technical design, service boundaries, data contracts, and scalable architecture for AI-assisted decisioning. - Improve the quality, reliability, and visibility of commercial data to enable faster, engineering-independent commercial changes. - Use data and controlled experimentation to measure operator efficiency, engineering effort avoided, platform adoption, and commercial impact. - Drive platform adoption by establishing clear documentation, onboarding, and feedback loops for internal product and commercial consumers. Your skillset: - Proven record of platform product leadership owning technical, API-heavy, data-rich, or internal platform products used by multiple teams. - Systems thinking ability to model complex dependencies across data, services, and workflows into stable, composable capabilities. - Strong technical fluency across APIs, data models, distributed systems, configuration engines, and observability to collaborate credibly with engineering. - Commercial judgement with the ability to connect platform strategy to margin, trading objectives, and customer value. - Expertise in data and experimentation, comfortable defining metrics, designing controlled tests, and using data to guide decisions. - Outstanding execution and communication skills to navigate ambiguity, balance platform health with delivery, and align technical and non-technical stakeholders. The interview journey: - Talent acquisition screening - 30 minutes - First stage with the hiring manager - 45 minutes - Final stage with key stakeholders, including a platform case to present - 1 hour - Behavioural and culture conversation with VP of Product - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role Checkout is looking for an experienced financial crime compliance lead to establish, grow, and maintain a global second-line team. This role will oversee the compliance frameworks supporting our rapidly evolving portfolio of mass market products. This opportunity is a perfect fit if you are excited by the prospect of leveraging the momentum and resources of a global scale-up to support the launch and scale of high velocity products. As products expand and launch, there will be an opportunity to grow your team across multiple regions. You will be expected to: - Build the Framework: Establish the global framework for second-line escalations for new products; working closely with relevant regional MLROs to ensure consistency and operational excellence. - Drive Cross-Functional Alignment: Partner with Risk, Operations, and Product teams to align compliance requirements with fraud mitigation and user experience goals. - Monitor Emerging Trends: Maintain a deep understanding of financial crime typologies, regulatory guidance, and emerging industry trends, ensuring these are proactively factored into our control framework and knowledge base. - Design & Deliver Training: Develop and deliver targeted training to business and compliance teams regarding complex financial crime and fraud risks inherent in high-volume environments. - Ensure Compliance-by-Design: Partner with our Regulatory Compliance function to integrate compliance requirements early in the product development lifecycle. - Own Compliance Requirements: Assume central responsibility for mapping and maintaining SDD, CDD, and EDD requirements for our evolving product set, ensuring relevant factors are codified into global minimum standards. - Strategic Advisory: Directly advise Product and Operations teams on the opportunities and risks associated with automation, AI deployment, and system scale. - Integrate Risk Assessments: Collaborate closely with regional MLROs to ensure product-specific risk profiles are accurately captured and factored into Business-Wide Risk Assessments. - Implement Assurance: Collaborate with our Assurance and Internal Controls team to design and execute robust compliance monitoring processes for new product lines. Experience we are looking for: - 6+ years of second-line compliance experience in fintech, payments, or banking at scale (neobank/fintech experience strongly preferred). - Deep expertise in financial crime (AML/CFT/Sanctions/Fraud) risk, with regulatory compliance experience as a strong plus. - Experience growing and leading a team, with cross-border/global management experience highly desirable. - Proven track record in architecting frameworks for high-volume environments and working directly with technical/product stakeholders to design solutions. Personal qualities we look for: - Confident decision-maker: Ability to quickly assess risks, weigh mitigations, and provide strong, defensible rationale for your decisions. - Technical fluency: Comfortable working directly with technical leaders to drill down into the configuration of user journeys, systems, and tooling. - AI-first mindset: Experience deploying AI or automation tools to accelerate compliance processes at scale. - Strategic thinker: Ability to immerse yourself in fine details while keeping the broader organisational picture in mind. - Growth-oriented: Relentlessly curious and driven; always learning and spotting opportunities to develop yourself and others. - Proportionate and Collaborative: An obsession with balancing strong compliance with scalability and user experience, supported by exceptional interpersonal and communication skills. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Los Angeles, CA Workplace: onsite About Revyz and Spin AI Revyz helps organizations protect and manage the Jira and Confluence Cloud environments their teams rely on every day. Its Atlassian Marketplace apps provide automated backup, granular recovery, and configuration management, helping administrators recover lost data and manage changes with confidence. Revyz is part of Spin.AI, a SaaS security and data protection company serving organizations that use Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian Cloud. Together, we help customers protect business-critical cloud data and reduce operational risk. Learn more at revyz.io and spin.ai. Why join Revyz now An employer with momentum. Spin.AI ranked No. 97 on Forbes’ America’s Best Startup Employers 2026 list, its third consecutive year of recognition, and was named to the 2026 Inc. 5000 list of America’s fastest-growing private companies. Recognized security and recovery technology. Spin.AI won five 2026 Global InfoSec Awards from Cyber Defense Magazine, including Market Innovator for Data Recovery and Visionary for Secure SaaS Backups. Bring your expertise to a team whose work is recognized across security and resilience. An established relationship with Google. Spin.AI’s extension risk scores are integrated into Chrome Enterprise, helping administrators assess browser extensions. Join an organization with technology embedded in enterprise security workflows, while building your own expertise and relationships in the Atlassian ecosystem. A broader security opportunity. Spin.AI acquired DoControl in September 2026, adding expertise in SaaS data access governance, data loss prevention, and insider risk. Alongside Revyz, this expands the opportunity to connect Atlassian data protection with wider enterprise security needs and deepen your experience across both.   About the role We are looking for a Senior Solutions Engineer who knows the Atlassian ecosystem and wants to help shape how enterprises protect and manage it. In this senior individual-contributor role, you will own Revyz technical engagements from discovery through the buying decision, working directly with customers, Atlassian Solution Partners, and our product and engineering teams. You will have room to design the approach, build reusable tools for the team, and turn customer insight into product improvements. This is an opportunity to combine hands-on Atlassian expertise with commercial impact and a visible role in the partner community. What You'll Do: Own enterprise customer outcomes Partner with sales and channel teams to understand how customers use Jira, Jira Service Management, and Confluence, who administers them, and what is at stake when data is lost or configurations change. Define decision criteria and qualify technical fit early. Lead tailored demonstrations, architecture discussions, and executive presentations around real Atlassian use cases: recovering a deleted work item or page, managing configuration changes, and protecting business-critical workflows. Help customers see how your recommendations improve their day-to-day operations. Own proofs of value with agreed scope, success criteria, timelines, and decision owners. Guide customers and partners through Marketplace app evaluations, resolve technical objections, and lead technical proposals and security questionnaires with the appropriate internal experts. Put your Atlassian expertise to work Develop deep expertise in Revyz and the relevant Spin.AI products while expanding your knowledge of enterprise SaaS security. Explain product capabilities, limitations, and competitive tradeoffs accurately, and distinguish supported functionality from roadmap items. Design and validate solutions around Atlassian backup and recovery, configuration management, permissions, retention, and data residency. Help administrators understand dependencies and recovery needs across Jira projects, Jira Service Management workflows, and Confluence spaces. Work hands-on in Jira and Confluence Cloud customer and demo environments to configure evaluations, investigate permissions and configuration issues, and validate recovery scenarios. Partner with engineering when deeper integration or technical investigation is needed. Build your profile in the Atlassian ecosystem Become a trusted advisor to Atlassian administrators, platform owners, enterprise architects, and security leaders. Build relationships with the people responsible for business-critical environments and help them make decisions they can defend to senior leadership. Work alongside Atlassian Solution Partners and consultants on joint customer engagements. Lead technical workshops and demonstrations, create reusable enablement materials, and help partners bring Revyz into their consulting and managed services offerings. Your expertise will help a wider network of teams succeed. Provide a clear handoff to customer success and support, documenting requirements, success criteria, and open issues. Stay close to strategic customers and partners as their Atlassian environments evolve, identifying opportunities to solve their next challenge. Shape the product and the practice Follow Atlassian Cloud developments, Marketplace apps, and partner and community feedback. Use that ecosystem perspective to inform customer conversations and competitive positioning, recommend product enhancements and new features, and improve our technical sales approach. Work directly with product and engineering to turn customer feedback into prioritized use cases. Help shape how we demonstrate, evaluate, and explain Revyz, with the opportunity to see your ideas become product improvements and resources used across the partner network. What you bring: 7+ years in solutions engineering, sales engineering, solution architecture, Atlassian consulting, or comparable customer-facing technical roles, including substantial experience leading complex enterprise evaluations or solution engagements through a buying decision. Hands-on experience administering or designing solutions for Jira and Confluence Cloud, including Jira workflows, schemes, permissions, configuration dependencies, and Confluence spaces and access controls. Familiarity with Jira Service Management and Assets is a plus. Strong knowledge of SaaS data protection and cloud security, including backup and recovery, identity and access management, encryption, retention, and data residency. Ability to discuss recovery point and recovery time objectives with technical and business stakeholders. Experience selling, implementing, or supporting cybersecurity, data protection, or backup and recovery solutions is strongly preferred. Relevant experience includes SaaS backup, ransomware resilience, recovery testing, security evaluations, or helping customers translate risk and compliance needs into practical protection plans. Excellent presentation, communication, and interpersonal skills, with the ability to engage both technical and non-technical audiences, including senior executives. Demonstrated ability to translate complex customer requirements into practical solution designs and measurable evaluation plans, explain tradeoffs clearly, and guide administrators and business stakeholders to a decision. Sound commercial judgment and the ability to manage multiple complex opportunities independently, prioritize effectively, and coordinate sales, product, engineering, and partner stakeholders. Significant experience in the Atlassian ecosystem, whether at a Solution Partner, Marketplace app vendor, or an enterprise Atlassian team. Understand how customers select and evaluate Marketplace apps and how partners support implementation, adoption, and ongoing services. Partner enablement experience and Atlassian certifications are strong pluses. A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Benefits: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program A visible role with ownership of customer engagements, direct influence on product priorities, and opportunities to build your reputation and relationships across the Atlassian ecosystem What success looks like: Customers complete evaluations with clear evidence against agreed technical and business success criteria. Atlassian Solution Partners can confidently demonstrate, evaluate, and recommend Revyz using the technical resources you help build. Technical risks are surfaced early, and customer commitments reflect validated product capabilities. Your customer and partner insights inform product priorities, and delivery teams receive clear, actionable handoffs. Technical wins contribute to new business and expansion, with evaluation progress and outcomes documented in the CRM. Why Spin.AI? Spin.AI is a SaaS security company protecting enterprises against SaaS ransomware, shadow IT, non-compliance, and data loss in the cloud. SpinOne unifies backup and recovery, ransomware detection, SSPM, DLP, and enterprise browser security in a single console — protecting more than 2,000 organizations worldwide. Backed by K1 Investment Management, a leading investor in high-growth enterprise software Named to the Inc. 5000 list of America's fastest-growing private companies (2026) Forbes Best Startup Employer, three years running (2024–2026) Named a Representative Vendor in Gartner's Market Guide for Backup as a Service and Forrester's SSPM Landscape report

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance & Audit Programs runs the integrated audit across our frameworks and maintains the Common Control Framework, the single set of controls that the whole program is built on. This role sits in Audit & Assurance and owns the framework and the assurance view across every control domain. About the role As part of the Security Audit & Controls team,  you will own the CCF across every control domain, from access and change management to logging, encryption, and people controls: which controls we have, what each one says, how each maps to the frameworks and commitments we hold, and whether each one is actually working. You'll work with control owners and GRC Partners to draft and validate control descriptions and activities that describe reality rather than policy intent, build the monitoring that shows operating effectiveness continuously instead of once a year, and drive what monitoring finds to closure with control owners. Building with Claude is a normal part of the job: drafting and mapping controls, testing evidence, and monitoring control health, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone who works well independently, writes clearly, and gets satisfaction from a control set that is accurate, tested, and trusted by auditors and engineers alike. Key responsibilities Own the Common Control Framework: the canonical control set, its mappings to SOC 2, ISO 27001/42001, HIPAA, FedRAMP, and customer commitments, and the change process for adding, retiring, or rewording controls Draft and validate control descriptions and control activities with control owners, so each control states who does what, how often, in which system, and what evidence proves it Design and run continuous monitoring of control efficacy: define the metrics and automated tests that show operating effectiveness, tune out false positives, surface failures to owners before an auditor does, and build the controls maturity model that shows where each control domain stands and what it takes to move up a level Verify remediation and carry it into steady state: GRC Partners lead remediation in their domains and control owners implement the fixes. This role advises on control design and implementation, confirms fixes against what the auditor actually asked for, and keeps one source of truth for control and finding status. Once a fix holds, it works with the partner to standardize the evidence pull and, where appropriate, automate it or build continuous Map new frameworks and commitments onto the CCF as we commit to them, and support gap assessments when a new framework, certification, product, or entity comes into scope, using the CCF as the baseline and writing the requirements for each delta Support the integrated audit and customer audits: readiness checks, walkthrough preparation, evidence request lists, and the readout of external findings back to GRC Evaluate evidence reliability, including the completeness and accuracy of system-generated reports and AI-generated evidence, and set the standard for what audit-ready evidence looks like here Build with Claude: automate control mapping, evidence testing, and monitoring, and verify machine-drafted control language before it becomes the record Minimum qualifications Several years in IT audit, security compliance, or controls assurance, including hands-on ownership of a control framework or control library across more than one framework (for example SOC 2, ISO 27001, FedRAMP, HIPAA) Working command of audit mechanics: scoping, walkthroughs, sampling, design versus operating effectiveness, deficiency evaluation, and evidence reliability Experience writing control descriptions, control activities, and test procedures that other teams and external auditors relied on Experience with continuous controls monitoring or automated evidence collection, whether you built it, ran it, or audited it Enough technical fluency to read a runbook, a configuration, or a pipeline definition and judge whether it enforces what the written control claims Clear writing, because your control language and status reports are what auditors, engineers, and leadership work from Ability to get control owners and partner teams to prioritize and close work without having authority over them Preferred qualifications Have designed or rebuilt a common controls framework and led the remapping of existing frameworks onto it Have stood up continuous controls monitoring or automated evidence programs and can speak to coverage, false-positive rates, and what changed as a result Have applied LLMs to assurance work, such as control drafting, framework mapping, evidence testing, or monitoring Have defined or assessed controls for AI systems or agents operating in production, or for home-built internal systems Have provided requirements for a homegrown GRC platform and worked with the engineers who build it You don't need to Have done everything on this list. The scarce combination this role exists for is framework ownership plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query, and challenge Hold every certification. CISA, CISSP, or similar are welcome and not required Have prior AI-industry experience Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 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: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff SRE, Platform Engineering About the job Twilio is looking for a Staff Site Reliability Engineer to join our Platform Engineering organization. SRE owns production health and resiliency at Twilio — we are accountable for whether our services stay available, performant, and recoverable for the customers who build their businesses on us. SREs here are software engineers who focus on reliability: you will architect systems with reliability designed in from the outset, define the SLIs and SLOs that determine whether we are meeting customer expectations, and build the automation that keeps our infrastructure efficiently ahead of capacity and performance demand. At the Staff SRE you work without day-to-day guidance, applying deep subject-matter knowledge and industry-leading practice to improve the products, processes, and services that Twilio runs on. You will own the reliability posture of significant parts of our production estate. Your impact will be felt across multiple teams rather than within one. This is a hands-on engineering role. You will write and deploy code that improves service reliability, orchestrate complex changes across systems, lead the response when production is degraded, and raise the quality bar for the engineers around you. Responsibilities In this role, you’ll: Own the reliability posture of production services in your area — availability, latency, capacity, efficiency, performance, and the monitoring and alerting that makes them visible Define, instrument, and operate against SLIs and SLOs, and use error budgets to drive engineering priorities Identify trends and problem areas that threaten stability, and provide a path forward to mitigate risk before it reaches customers Drive down repair items and prevent classes of incidents rather than resolving them one at a time Improve detection, response, and recovery — reducing time to acknowledge, engage, mitigate, and restore, with fewer people pulled in Design for failure: strengthen failure domains, validate recovery paths, and make production changes safer to ship and safer to roll back Participate in on-call for the services you support, and lead the response when production is degraded Write post-mortems that identify true root causes, and drive the follow-up work to completion Oversee efforts to identify, diagnose, report, and document production problems across all reliability dimensions Write, configure, and deploy code that measurably improves service reliability — maintainable, reviewed, documented, and well tested Orchestrate complex changes across systems and services, documenting design changes, technical decisions, migration plans, and upgrades Lead debugging, troubleshooting, and analysis of service architecture and design Use code review to drive up the quality of your coworkers' code Reduce the operational overhead required to run infrastructure and services Drive projects from conception to completion for efforts spanning the concerns of your team Coordinate across programs, collaborating with others to estimate and communicate delivery timelines Break projects into milestones and tasks, track progress, and communicate updates to stakeholders Identify and communicate changes that may impact stability Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years of related engineering experience, with a substantial portion focused on reliability, infrastructure, or platform engineering Demonstrated accountability for production systems — you have carried a pager for services that mattered and owned the outcome when they failed Strong software engineering fundamentals: you build and ship production code, not only configure tooling Experience defining and operating against SLIs and SLOs, and using error budgets to inform engineering priorities Depth in production operations: incident command, post-mortem analysis, capacity planning, and observability A record of preventing recurrence — reducing incident classes and operational toil, not just closing tickets Experience driving changes that span multiple teams, and the communication skills to build alignment without formal authority A track record of improving the engineers around you through code review, design feedback, and mentorship Experience with large-scale distributed systems in a cloud environment Desired: Familiarity with infrastructure-as-code, container orchestration, and GitOps-style delivery Experience with multi-region architecture, failure-domain design, or regional expansion work Background in chaos engineering, game days, or other proactive resilience validation Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 Kingdom Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Commercial Deal Desk Analyst to help build and scale 1Password’s Commercial Deal Desk capability within Revenue Operations. You’ll partner with Sales, Finance, Legal, and cross-functional teams on complex commercial decisions, while turning what you learn into clear processes, guidance, and tools that help teams move faster with confidence. This role will help strengthen 1Password’s enterprise commercial capabilities as deal complexity and volume grow. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within the UK. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 4+ years of experience in Deal Desk, Revenue Operations, Commercial Finance, or a related function within a Business-to-Business (B2B) Software as a Service (SaaS) environment. - Hands-on experience with Salesforce Customer Relationship Management (CRM) and Salesforce Configure, Price, Quote (CPQ)/Revenue Cloud, including resolving complex quoting and cross-object issues. - Strong understanding of commercial deal structures, including annual recurring revenue (ARR), multi-year agreements, amendments, renewals, co-terms, ramps, stub billing, bundled products, and discounting. - Demonstrated ability to build or improve processes, documentation, approval workflows, and commercial policies in an evolving environment. - Sound commercial judgment and the ability to balance customer and seller needs with pricing discipline, revenue integrity, and business risk. - Strong cross-functional communication skills, with the ability to influence effectively without formal authority and explain complex commercial concepts clearly. - Experience using artificial intelligence (AI), automation, or workflow tools to reduce manual work and improve the quote-to-cash process is preferred. What you can expect: - Partner with Enterprise Account Executives (AEs), Sales Managers, Finance, Legal, and Revenue Operations on complex, non-standard, and high-impact deals. - Advise on deal structure, pricing, terms, discounting, approvals, amendments, renewals, co-terms, ramps, bundled products, and other commercial considerations. - Review and execute deal submissions in Salesforce CPQ/Revenue Cloud, ensuring quotes and contracts are accurate, complete, and ready for approval and invoicing. - Build the foundations of the Commercial Deal Desk, including intake processes, approval routing, discount governance, exception handling, service-level agreements (SLAs), and documentation. - Create playbooks, training materials, office hours, and practical guidance that help sales teams navigate commercial processes and quoting tools. - Identify opportunities to improve workflows through automation, AI tooling, and CPQ configuration, while partnering with technical teams to implement scalable solutions. - Use deal data and Key Performance Indicators (KPIs) to identify bottlenecks, improve deal quality, and recommend changes that support efficient, sustainable growth. UK-based roles only: The annual base salary for this role is between £60,000 GBP and £84,000 GBP, plus immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.   This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Australia, Adelaide 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. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab (RWTL) Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls — their devices, their environments, their hardest conditions, and their definition of success — and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring a Hardware Operations Engineer with a robotics specialism, reporting to the Director of the Real-World Test Lab, to own the physical layer of our evidence. You'll manage our fleet of capture devices and robots, engineer the test environments and the instrumentation inside them, support the captures our data programs depend on, and run physical test sessions, including the real-robot side of our sim-to-real work. A physical run only counts as evidence if the hardware is characterized, the environment is controlled, the ground truth is trustworthy, and someone can reproduce the run months later. You'll build what makes that possible: fixtures, ground-truth references, calibration and data-offload tooling, and the integrations that feed physical runs into the same automated evaluation system as everything else. You engineer the conditions, not just the setup. When a physical result didn't match expectations, you've worked out whether the hardware, calibration, environment, or system under test was responsible. Then you built the rig, reference, or logging that kept the question from coming back. You know an uninstrumented physical test is an anecdote, and in the Lab you'll be the person who can say with authority whether a strange result is real. What Success Looks Like - 30 days: Fleet inventory and characterization baseline complete, safe operating procedures defined for current spaces, and first instrumentation gaps identified. - 60 days: First physical robot run executed with ground-truth instrumentation, documented well enough to repeat, with results in the Lab's evaluation system. - 90 days: Test environments in regular use with controlled, documented conditions; capture support running smoothly with our data acquisition team; and the physical side of sim-to-real running on a standing instrumented protocol. What You'll Do - Own and Characterize the Fleet - Manage our capture devices, sensors, and robots end to end: inventory, calibration, firmware, maintenance, logistics, and spares. Characterize what each platform can and cannot do, so a device's limits are a known quantity rather than a surprise inside a result. - Engineer the Physical Test Environments - Design, build, and operate the spaces we test in, covering layout, lighting control, markers, obstacle configurations, and survey-grade ground truth references, across our office, rented or workplace-services-supported space, and partner or customer sites. Make each environment a controlled variable rather than an improvisation. - Build the Instrumentation - Create the rigs, mounts, references, and measurement setups that turn a physical run into quantitative data: trajectory ground truth, positional accuracy references, timing and synchronization across sensors, and automated condition logging. - Integrate Physical Runs Into the Evaluation System - Work with the AI Automation Engineer so physical results flow into the same scorecards and comparisons as software-only evaluations, through automated data offload, run metadata, and structured condition capture rather than a spreadsheet and a folder of files. - Run the Physical Test Sessions - Execute robot runs and device-in-the-loop tests: robot bring-up, teleoperation, scripted trials, and the repetition that makes a result statistically meaningful rather than anecdotal. - Own the Physical Half of Sim-to-Real - When a scenario has been evaluated in simulation, engineer and execute its physical counterpart so the comparison is valid, matching environment, route, lighting, sensor configuration, and robot setup, and instrumenting the run so divergence is explainable rather than mysterious. - Own Safety - Define and maintain safe operating procedures for robots and powered equipment in our test spaces, and coordinate with workplace services, IT, Legal, and site owners on access and safety requirements. - Automate Your Own Work - Script the repetitive parts, including configuration, calibration checks, data offload, and condition logging, so setup time falls and a colleague can run a session without you. What You'll Bring - Hands-on engineering experience with robotic hardware, covering bring-up, integration, teleoperation, troubleshooting, and maintenance. Mobile or wheeled platforms preferred. - Built test rigs, fixtures, or instrumentation that produced quantitative measurements of a physical system's behavior. - Designed and run structured physical experiments, including ground truth methodology, and documented conditions rigorously enough for someone else to reproduce them. - Worked with sensor calibration, multi-sensor synchronization, and coordinate frame conventions, and understand how errors in each propagate into a result. - Strong Python and command-line proficiency, with a track record of automating hardware configuration, data offload, or test execution. - Managed hardware fleets operationally: inventory, firmware, calibration schedules, logistics, and repair coordination. - Practical safety experience operating powered equipment or robots around people. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Worked with ROS or ROS 2, including writing nodes or integrating sensor drivers. - Operated NVIDIA Isaac Sim or Isaac Lab as a user, running scenarios someone else authored. - Worked with professional capture hardware such as terrestrial laser scanners, NavVis or Leica systems, LiDAR, 360 cameras, or drones. - Established survey-grade or motion-capture ground truth for localization or navigation evaluation. - Supported photogrammetry, Gaussian splat, or 3D reconstruction capture workflows. - Run test operations at customer or partner sites, with the coordination and discretion that requires. Competencies - Engineering judgment about physical systems. You reason about error sources: calibration drift, timing offsets, mounting rigidity, lighting variation, floor surface. When results disagree, you form a hypothesis and design the measurement that settles it. - Hands-on and unfazed. You'd rather be in the space with the robot than reading about it. Cables, mounts, batteries, firmware, and a session that starts at 7am are all part of the job. - Meticulous about conditions. You instrument rather than remember. You know the value of a physical test lives in how precisely its conditions were captured. - Safety-minded without being slow. You take real responsibility for operating robots around people, and you build procedures where the safe path is also the fast path. - Builds for other people. Your fixtures, scripts, and procedures get used by colleagues without you in the room. - Comfortable in an unfinished environment. Much of this does not exist yet. You'll be selecting equipment, designing the first rigs, and defining how a space gets configured, with support but without a playbook. Compensation & Benefits Base salary range of $142,200 to $193,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

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's go-to-market engine runs on Salesforce: how leads become pipeline, how deals are tracked and forecast, how customers renew and expand, and how partners work alongside our sellers. As a Business Systems Analyst, you'll be responsible for how one of those core motions is represented in system, and a trusted partner to GTM leadership when they want to change how it works. We're looking for someone who operates at the intersection of three things: a strategist who can sit with GTM leaders and shape how they want to understand their part of the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code. Where you might sit We're hiring across several parts of the customer lifecycle. Placement depends on your background and where you can have the most impact. Opportunity Acceleration: Owns how deals are tracked, forecast, and credited in Salesforce, from stage design and forecasting to the ownership and team structures behind them. You'll partner with sales leadership to make pipeline something everyone can trust and sellers can work quickly. Lead-to-Pipeline: Owns how leads, inbound demand, and BDR outreach become qualified pipeline: lifecycle stages, routing and ownership, handoff rules, and the tools BDRs and sellers work in every day. You'll partner with BDR, marketing, and sales leadership to make the path from first touch to open opportunity faster and easier to measure. Post-Sales: Owns the systems behind renewals, expansion, and customer coverage: how post-sale opportunities are created, forecast, and worked by account management and customer success. You'll give post-sales leaders a clear, trustworthy view of the customer base and the tools to act on it. Partnerships: Owns how partner-sourced and co-sell deals are registered, attributed, and worked alongside our sellers, including the partner-facing processes and reporting leadership relies on. You'll help turn a fast-growing channel into a motion the business can measure and scale. Key responsibilities Own the design of your core funnel domain in Salesforce: lifecycle stages, process, exit and handoff criteria, key fields, and the automation and guardrails that keep the data trustworthy Partner with GTM leadership on how their motion runs and how they want to see it, and make the tradeoff calls on what teams enter versus what insight that data unlocks Partner with RevOps to systematize how GTM teams are structured, assigned, and credited: ownership, routing, coverage, splits, and the territory and role structures those depend on Operationalize the methodology in system, turning frameworks and process discipline into fields, validation, scoring, and in-context guidance that people actually use Act as data-model steward for your domain and its closest neighbors: the named approver for new fields, automation, and integrations touching those objects, and the keeper of why each one exists Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification Own the seams to the neighboring stages of the customer lifecycle (lead handoff, opportunity, quote-to-cash, renewal, partner attribution) so the experience is coherent end to end even where the build sits with another team Evaluate and configure tooling that accelerates the motion: routing, activity capture, sequencing, deal inspection, account planning Run discovery, UAT, enablement, and adoption measurement for everything you ship; help raise the bar for how BSA work is done on this team Minimum qualifications Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of work in a core funnel domain such as lead management, opportunity and pipeline, renewals and account management, or partner channel Experience designing and rolling out a lifecycle, process model, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption Credibility with GTM stakeholders: you've been in the pipeline review, forecast call, or planning session, and you can push back when there's a better answer Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, assignment and routing, page and Path design) and specs that make the handoff to developers clean Crisp communication across GTM teams, leadership, RevOps, and engineers, adjusting altitude for each Preferred qualifications 5+ years of experience in GTM/Revenue systems roles Salesforce Administrator certification Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, routing, splits, territory) and turning those decisions into working system design Experience across more than one part of the customer lifecycle, such as lead, opportunity, renewal, or partner Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications Have built and run event-driven backend systems in production Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it Build tools for people who use them under pressure and iterate with those operators Preferred qualifications Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) Experience building ML or computer vision inference pipelines over video and sensor streams PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody Experience using AI-assisted development tooling as a core part of your workflow 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.