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Location: Macedonia; Georgia; Moldova; Romania; Greece; Croatia; Kosovo; Serbia Workplace: remote In 2017, Belkins started as an appointment-setting agency with just one service offering. Fast-forward to today, and we've transformed into Belkins Group — a vibrant ecosystem of services and products that define the cutting-edge landscape of the SalesTech and MarTech industries. For seven years running, we’ve been the top appointment-setting agency, achieving amazing results across 50+ industries worldwide.   Our results speak for themselves: with over 1,000 clients and a global portfolio, we’ve set up more than 200,000 appointments, delivering a $10 return for every $1 spent. We’re experts in B2B appointment setting, providing essential services for companies ready to take their growth to the next level. By diving deep into lead research and using customized, omnichannel strategies, we turn opportunities into real success. Joining Belkins means signing up for a journey of unstoppable growth and success, driven by curiosity, dedication, and a commitment to excellence. We are looking for a results-driven SDR to join our intake pod - the team that runs new clients through their first three months at Belkins. Each pod is built around an Account Strategist who owns client strategy through the pilot, supported by a Delivery Lead, Content Strategist, Researcher, and Email Deliverability Specialist. This structure means the technical side of outreach is handled for you - your focus is on calling and converting prospect responses into booked appointments.   You will work across multiple pilot-stage client projects at once (typically 3-4), running high-volume cold calling via power dialer and personally managing all replies from automated email and LinkedIn campaigns. Because every account is brand new, the meetings you book in the first weeks carry extra weight - they're often a client's first real proof that the engagement is working. Things You’ll Be Doing: Cold Calling Running outbound calling campaigns via power dialer (Koncert) across multiple (3-4) pilot-stage client projects at once - every account brand-new, so there's no history to lean on and no slow ramp-up; Handling objections live, on the call, and steering each conversation toward a booked appointment, not just working through a script; Tracking connect rate and call-to-meeting conversion, flagging performance issues to your Account Strategist before they become a pattern - with only three months on the clock, a slow week can't go unnoticed. Reply Handling — Email & LinkedIn Personally owning every reply that comes in from automated email (Reply.io / Inbox AI) and LinkedIn (Expandi) campaigns -responding within 4–8 working hours, handling objections in writing, and nurturing prospects until they convert into confirmed meetings; Scheduling appointments and sharing meeting details with the team via Slack. Campaign Oversight & Reporting Monitoring key metrics across every project - connect rate, reply rate, conversion rate - as your own numbers, not someone else's dashboard. Feeding structured feedback to Research, Content, and EDS so lead quality and messaging actually improve, not just flagging that something isn't working. Keeping CRM hygiene tight in HubSpot and sharing a weekly recap your Account Strategist can actually use. What You Bring: 2+ years of outbound SDR experience with a strong cold calling background ; Fluent English - written and spoken - comfortable working across US and European time zones; Metrics-driven: you track your dials, connect rates, and conversion numbers and know how to improve them; Strong objection handling and a consistent track record of landing next steps; Comfortable working brand-new accounts with no track record yet, and able to manage multiple pilot-stage client projects in parallel without losing quality or pace; Reliable CRM hygiene and disciplined follow-up across all open threads; Self-starting and proactive - you hold your pace without needing external pressure. How We Hire: Recruiter Interview (~30 minutes) — with Yuliia or Inna. Practical Task (~60–90 minutes) — a written exercise covering outbound thinking, objection handling, and lead prioritization. Hiring Manager Interview (~45–60 minutes) — a conversation with the SDR Enablement Manager covering the details of your work, performance analytics, and a live cold-call roleplay. Final Interview (~60 minutes) — with the Managing Director and HR Business Partner to assess company fit and explore your values and working style. Offer & Onboarding — if it's a yes, we move fast. *We may use AI tools to support parts of the hiring process. Final decisions are made by humans. Contact us for information on data processing. At Belkins, we care deeply about our team members, and we prove it through: Competitive Pay: Your dedication deserves more than recognition; it deserves compensation that matches your expertise. Remote-First Flexibility: We’ve transitioned to a fully remote environment so you can work where you're most productive. Our flexible hours help you stay agile and focused. Professional Growth: We’re a launchpad for your career. Through regular feedback, 1:1s, internal mobility, and knowledge-sharing, your growth is enabled and celebrated. We also maintain an internal wiki for insights and a library of the latest business books to keep you sharp. Well-being focus: Your mental health is a priority. We offer mental health lectures and support for your overall well-being. Recharge Time: We prioritize your rest with 20 paid vacation days, parental leave, fully covered sick days, and unlimited days off for unexpected needs. Global Sync: We align with U.S. holidays to keep our global teams in sync. Memorable Team Experiences: Work hard, play hard — even from a distance. Our online team-building events and all-hands gatherings bring humor, memes, and a lively atmosphere that makes teamwork genuinely fun.

Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Responsibilities: Collaborate with cross-functional and cross-domain teams to gather requirements, design solutions, and deliver features Design, develop, and maintain backend systems using PHP and MySQL(or similar), ensuring they are scalable and maintainable Implement and optimize complex features with a focus on clean, reusable, and efficient code Write unit tests to ensure the reliability and scalability of code Participate in code reviews, architecture discussions, and ensure adherence to best practices in software development Monitor and troubleshoot production systems, ensuring the highest levels of availability, performance, and security Share on-call duties with the team to ensure smooth operations of the systems in production Stay updated with new technologies and trends, and introduce them where appropriate to enhance system performance and maintainability Requirements: Experience (5+ years) in object-oriented PHP and modern PHP tools Software design principles (SOLID, KISS, DRY) and layered architecture Applied DDD practices: bounded contexts, aggregates, domain events Good knowledge of the latest versions of Laravel framework Strong understanding of relational databases like MySQL/PostgreSQL including transaction management Experience in database query optimization, analysing deadlocks and db performance Message-driven services in production with Apache Kafka or a comparable broker Handling money in application code: exact arithmetic, explicit rounding rules, multi-currency precision, idempotent money-moving operations Security best practices Experience with monitoring tools (Prometheus, Grafana or similar) Working with Docker/Docker Compose/Kubernetes on a daily basis Good level of spoken and written English (B1+) and Russian Nice to have: Experience with Go Fintech, payments, or crypto domain experience High-load Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Impact of a Billing Systems Architect As an Enterprise Billing Systems Architect at Upsun, you are the technical anchor of our billing infrastructure, playing a vital role in ensuring our revenue operations, pricing structures, and financial integrations run seamlessly as our business scales. Picking up primary ownership from our implementation partner, you serve as the dedicated technical lead bridging Finance, Product, and Engineering. You’re deeply analytical, systems-minded, and collaborative—someone who thrives on translating complex business, pricing, and accounting rules into reliable system logic. Working downstream from our core engineering and data mediation teams, you ensure the integrity of our Quote-to-Cash (Q2C) platform while continuously optimizing platform performance and automation. Beyond day-to-day platform administration, you contribute to the long-term evolution of our billing architecture—supporting new pricing model launches, complex usage rating schemes, and financial system integrations. Your attention to detail, technical versatility, and cross-functional mindset ensure our revenue pipeline remains scalable, compliant, and friction-free. What to expect Billing Infrastructure & Administration: Serve as the hands-on technical owner of our BillingPlatform environment, configuring catalogs, price cards, usage rating rules, and automated invoice schedules. System Operations & Maintenance: Own ongoing platform health, including system updates, pricing launches, recurring bill-run troubleshooting, sync exception handling, and root-cause issue resolution. Data Ingestion & Analysis: Utilize SQL to perform data validation, rating engine auditing, and operational reporting while collaborating with Engineering to receive mediated usage data (e.g., via DigitalRoute or Kafka). Integrations & API Management: Maintain and optimize clean, API-driven integrations connecting BillingPlatform to upstream CRMs (e.g. Salesforce), downstream ERP/GL tools (e.g., NetSuite), and payment gateways (e.g., Stripe). Revenue Recognition Alignment: Partner closely with Accounting to ensure system rating rules, revenue schedules, and general ledger mappings satisfy ASC 606 and IFRS 15 compliance standards. Cross-Functional Collaboration: Gather technical and operational requirements directly from Accounting, Finance, Sales Ops, and Product teams, translating their vision into sustainable platform configuration. Data Integrity & Migration: Maintain billing data continuity and manage subscription data updates or migrations without disrupting ongoing financial operations or revenue recognition flows. What you bring Q2C Platform Experience: Proven hands-on experience configuring and administering enterprise Quote-to-Cash or billing platforms (e.g., Zuora, Salesforce Revenue Cloud/CPQ, NetSuite Billing, Aria Systems, or BillingPlatform). Data & Technical Skills: Strong proficiency with SQL for querying and auditing billing data, alongside a solid grasp of REST APIs, webhooks, and ETL workflows. Modern Pricing Expertise: Experience supporting complex SaaS or infrastructure pricing models—such as PLG, hybrid commitment-plus-usage, tiered rates, and consumption-based/metered billing. Revenue Recognition Knowledge: Practical understanding of rev rec fundamentals (ASC 606 / IFRS 15) and how accounting rules dictate billing engine design. Cross-Functional Communication: Ability to bridge technical language and financial business logic, effectively collaborating with engineering teams and accounting stakeholders alike. Problem Solving & Troubleshooting: A methodical approach to diagnosing system sync errors, rating anomalies, and integration edge cases to ensure operational continuity. Bonus points Experience with DigitalRoute mediation software or Kafka event-stream data intake Previous exposure to cloud infrastructure, PaaS, or developer-platform usage metrics Background supporting system migrations from implementation partners into internal teams Where we hire Remote work with focus on Australia, Canada, France, Germany, Spain, the United Kingdom, and the United States. No visa sponsorship. How we hire Five video interviews on Google Meet including Talent Acquisition, Hiring Manager, Engineering team, Finance team, and Executive (CFO). Background checks required. What we offer A product you can believe in as a proud B Corp. Award-winning workplace recognized by Forbes and France’s Best Workplaces for Women. A culture valuing voice, flexibility, openness, and inclusivity. A global team with diverse backgrounds. Benefits including flexible PTO, comprehensive healthcare (UK, Canada, France, Spain, USA), company stock options, professional development budget, office equipment budget, wellness budget, annual team gatherings, internet reimbursement, inclusive parental leave, and remote work travel program. You belong here Commitment to diversity, inclusion, equity, and support for accommodations during hiring process.

Location: Kuala Lumpur, Malaysia 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. What You’ll Be Doing Responsible for the daily operation and maintenance of company laptops, with macOS as the primary focus, as well as Windows computers, mobile devices (iOS and Android), IP phones, and other desktop IT equipment. This includes device imaging and setup, software and hardware installation, configuration, updates, maintenance, troubleshooting, and issue resolution. Maintain office IT systems, including IP phones, video conferencing and wireless presentation systems, printers, CCTV, and access control. Support server room operations, structured cabling, UPS systems, switches, access points, and routine inspections. Monitor infrastructure availability and performance through dashboards and alerts. Basic knowledge of servers, networking, audio-visual systems, and electrical principles is required. Perform daily monitoring and testing of office Wi-Fi, wired networks, and VPN connections, and troubleshoot network-related issues Work with teams to identify valuable AI and automation opportunities, deliver end-to-end solutions, and drive adoption through demonstrations, training, and hands-on support. Measure the impact and use AI tools to improve troubleshooting, ticket handling, documentation, and reporting. Support regional offices with IT rollouts, new office setups, and on-site project delivery. Travel when required and provide technical support and coordination throughout the implementation. Create and maintain IT knowledge-sharing documents, SOPs, and the service desk knowledge base. Implement Global IT strategies, technical standards, guidelines, and solutions while continuously improving employees’ IT service experience and satisfaction. Manage vendor relationships and coordinate equipment procurement, installation, maintenance, and technical support with external service providers. What We Look For In You Bachelor's degree or above; computer science, software engineering, networking or other related majors are preferred. At least 3 years of working experience in IT support, IT engineering or a similar hands-on technical role, with working experience in large IT companies preferred. Operation and maintenance experience across Windows, macOS, WiFi network, VPN network and smart office systems is required. Basic knowledge of server and network administration: Windows Server or Linux, virtualisation, backup and restore, switches, VLANs, WiFi controllers, firewalls and VPN. Certifications such as CCNA, Microsoft or Linux are a plus. Demonstrated software engineering ability: strong Python (or an equivalent language) plus PowerShell or Bash; comfortable with Git and code review; able to build, test, document and maintain internal tools and integrations against REST APIs. Please be ready to share a portfolio, GitHub profile or examples of tools you have built. Hands-on AI practitioner: daily user of AI assistants (e.g. Claude, ChatGPT) with effective prompting skills, plus practical experience building AI agents, AI skills or MCP integrations. Experience deploying AI solutions for non-technical users is a strong plus. Comfortable working directly with business stakeholders to turn unclear requirements into practical, deliverable solutions, and capable of presenting and providing training to non-technical users. Strong communication, presentation, and facilitation skills, with a proactive approach to problem-solving. Able to work independently and collaboratively, accommodate flexible working hours including evenings & weekends, and travel to regional offices when required. Fluent in Malay,English and Mandarin listening and speaking Perks & Benefits Competitive remuneration package (Basic Salary + Shift Allowance + KPI Allowance + Yearly Bonus) Meal allowance Transportation allowance (T&C apply) Monthly team building Fitness & wellness benefits per annum Convenient workplace (5 minutes walk from MRT TRX) Insurance coverage for employees & dependants Excellent prospects for growth and promotion Employee engagement, recognition and appreciation program Multinational working environment: Advance your career by interacting with individuals from various backgrounds, cultures, and nations 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: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. Penetration test specific, high value deployments. Contribute to AI-assisted security testing tooling and workflows. Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: 5+ years of hands-on experience in red teaming and offensive security operations Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines Track record of discovering novel attack vectors and chaining vulnerabilities creatively Experience conducting adversarial simulations against well-defended environments Strong engineering skills (Python, Go, or similar) Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with: Prior work at organizations with state actor threat models Interest in AI safety and how security engineering contributes to responsible AI developments Background testing AI/ML systems or agentic workflows Familiarity with detection engineering and SIEM/EDR platforms from the defensive side Experience with data center security or hardware-based attacks 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. A passion for the company's mission of building helpful, honest, and harmless AI. Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP. Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models. Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building an Analytics Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Where you might sit We're hiring across more than one team. Placement depends on your background and where you can have the most impact. GTM Systems: Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship. QTC Experiences: A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity. Key responsibilities Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale Minimum qualifications Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output Basic SQL skills and comfort working alongside a data warehouse Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders Preferred qualifications Salesforce Platform Developer I and II certifications Advanced Administrator or Application/System Architect certification Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition Proven experience scaling Salesforce in a high-growth GTM environment 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance. You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with  you taking the lead on adoption, change management, and value realization. This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them. The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society. Responsibilities Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies) Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic You may be a good fit if you have 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting 3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed An understanding of the regulatory, risk, and compliance needs of the industry Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player 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: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain The Vault is an MPC-based crypto custody platform for institutional and retail clients, running threshold signing across HSM and Ledger hardware. We're scaling toward Series A, launching our productized platform in 2026, and publishing original cryptographic research alongside the product. We're hiring a Staff Engineer to design and ship the custody platform's hardest backend code. This is a hands-on IC role with real technical leadership — no people management — where you drive non-trivial initiatives through code, RFCs, and mentorship. You'll shape architecture in your area of ownership; platform-wide decisions sit with technical leadership. We're AI-forward (Claude Code, Cursor, Codex), and we need engineers who can read AI-generated code critically and catch what it misses — not just prompt it. You'll naturally gravitate toward either the security-critical core (MPC, threshold signing, HSM/Ledger integration, key lifecycle) or the faster-moving periphery (chain adapters, integrations, APIs/SDKs). What you'll do Design, write, and ship critical platform components: policy engine, signing orchestration, key lifecycle workflows, recovery flows, approvals, audit trails, multi-tenant wallet and account services. Lead non-trivial cross-cutting initiatives in your area — through written RFCs, design reviews, and code, not through hierarchy. Build high-load, multi-tenant SaaS systems: tenant isolation, quotas, rate limits, backpressure, concurrency control, predictable latency under spikes. Distributed systems & reliability: idempotency, retries, outbox/inbox, event-driven workflows, sagas and state machines, replay, graceful degradation. Security-by-design: least privilege, secret handling, mTLS/JWT, tamper-evident logs, audit-ready data models — designed for SOC 2, ISO 27001, and DORA scope from day one. Performance & data: profiling, load testing, benchmarking, contention analysis, GC tuning; strong relational modelling (Postgres or equivalent), migrations, indexing, clear consistency boundaries. AI-assisted development as a core competency: ship production code with Claude Code, Cursor, and Codex; build the prompt and agent patterns that work for your area; contribute to the company's AI engineering practices; know when to use AI heavily (periphery, integrations, tests, docs) and when not to (cryptographic core, signing paths) where blind generation is unsafe. Set patterns and shared libraries for the services your area touches; raise the bar through code review and example. Own features end-to-end: design notes / RFCs, code, tests, observability, rollout, on-call. No "throw it over the wall" handoffs. Mentor senior engineers: your reviews and your written designs are the strongest signal to the rest of the team. Requirements Must-have experience Strong CS fundamentals — our primary screening criterion. You can reason from first principles about concurrency, distributed systems, consistency models, networking, and OS behaviour. You know not just what locks and channels do, but why and when. You understand what's happening under the hood, not only at the API level. Ownership mindset. You've owned non-trivial production systems end-to-end — design, ship, measure, improve, on-call. You don't wait to be told what to do, and you don't ship code you don't understand. 10+ years backend engineering, including 3+ years operating at Staff level (or equivalent senior IC scope). Strong production experience in a modern systems language — Go, Rust, Java, C++, or comparable. Hands-on Go experience, or genuine readiness to ramp on Go in the first month. Track record of Staff-level technical leadership through code, RFCs, and influence — without formal authority over teams. You can point to RFCs you wrote that the team adopted, initiatives you drove without being the manager, patterns you set that outlasted you. Proven track record building high-load, multi-tenant SaaS in production (HA, incident response, SLOs). Hands-on with modern backend stacks: gRPC/HTTP, queues/streams, caching, relational databases, Kafka/NATS or equivalent. Strong testing discipline: unit/integration/contract tests, testability-first design, deterministic CI. Strong observability habits: structured logging, metrics, tracing, end-to-end production debugging. REQUIRED: production-grade use of modern AI coding tools (Claude Code, Cursor, Codex, or comparable). You can point at what you've built with them. You read AI-generated code as a hostile reviewer, not a grateful recipient — you have instincts for what AI tends to get wrong, and you don't ship code you couldn't have written yourself. Nice to have Exposure to custody, wallets, or signing systems (MPC, HSM, TEE, key management, approvals). Hardware wallet integration (Ledger). Multiple blockchain ecosystems (EVM and Bitcoin minimum; Cosmos, Solana, others a plus). Built custom agents, MCP integrations, or in-repo AI workflows that compounded a team's productivity. Designed and run evals for AI-generated code (correctness, security, style). Kubernetes and service mesh in production; SRE practices. Regulated-environment experience (fintech, security audits, compliance-driven engineering). Threat modelling and security review participation. Familiarity with SOC 2, ISO 27001, and DORA — enough to design for them. What this role is NOT A people management role. A pure architecture / whiteboard role. You write production code in this codebase every week, and platform-wide architectural ownership sits elsewhere. A research-only cryptography role. You collaborate with our Cryptography Researcher; your focus is platform engineering, not protocol design. Pure feature ticket execution. If you wait to be told what to do, this won't work. Benefits A Staff IC role with real technical leadership — no people management, no sprint mechanics gauntlet, no architecture-by-committee. An AI-forward engineering culture with budget and autonomy for the tooling, models, and agents you need. Direct peers in cryptography research, security architecture, product, and delivery — you're not the only senior voice in the room. Fully remote, any time zone with reasonable overlap with EU/CIS hours. Competitive comp at the Staff engineer band; equity participation; full benefits. A product approaching Series A with paying institutional customers and a published cryptographic research line

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control 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 continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system rather than bolted on. Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide (auditability, segregation of duties, change control, immutable logging, evidence retention) before go-live, so controls are not retrofitted after the fact. Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and maintain a clear view of which changes alter the SOX scope, key control population, or evidence requirements. Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing, walkthrough preparation, population and completeness validation, and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time. Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, provide technical and compliance assessment of their impact on control design, evidence requirements, and engineering effort before commitments are made. Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2, ISO 27001/42001, or other frameworks, ensure controls are designed once and evidenced once, and that changes made for one framework do not silently break another. Minimum qualifications Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. Have genuine engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. Have programming skills in Python or at least one systems language such as Go, Rust, or C/C++. Have deep familiarity with developer platform, release engineering, cloud infrastructure, or ERP/financial systems control domains. Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls, and you know where the line sits between your monitoring and Internal Audit's independent testing. Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors. Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. Default to getting the requirement designed into the system rather than papering over the gap with procedure. Preferred qualifications A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. Defined or assessed controls for AI/ML systems or agents acting in production environments. Stood up continuous controls monitoring or automated evidence programs. Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. CISSP, CISA, CPA, or equivalent certification. 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: $410,000 — $510,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice. We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something. We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI. Key responsibilities Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios Minimum qualifications Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each Preferred qualifications Experience in GTM, revenue or finance systems roles Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara) Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs Basic SQL and comfort using a data warehouse to check launch data Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About The Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a Senior Staff Software Engineer to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem. This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran.  Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation.  Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps. This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, TypeScript/React Kubernetes, GCP Cloud SQL (PostgreSQL) BigQuery data sources, Claude API, Agent SDK GTM systems -  Salesforce, Outreach, Gong, and Zendesk What You’ll Do Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud Develop, maintain, and test code Conduct design and code reviews Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability Understand and fix challenges related to performance and scalability. Participate periodically in on-call rotation Participate in the hiring process Mentor Junior developers Make Fivetran the most reliable and secure component of our customers’ data infrastructure Skills We’re Looking For 10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices Experience working with distributed systems and cloud security concepts Demonstrated ability to write well-structured and performant code Ability to independently lead software and infrastructure design to satisfy project requirements Can identify design flaws in existing systems and come up with improvements Experience in code reviews, design, troubleshooting and testing Experience programming in an object oriented / systems language such as Java, C++, C# etc Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s Experience interacting with continuous integration tools like BuildKite Knowledge of observability tools like New Relic/Grafana is a plus Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based platforms #LI-HYBRID #LI-VA1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $232,338 — $290,422 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London Office Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. IN THIS ROLE YOU WILL: - Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs. - Diagnose, reproduce, and resolve complex technical issues across the Replit platform. - Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. - Lead customer-facing communications during outages or incidents. - Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution - Build and update internal tooling, automation, and documentation that improves team efficiency. - Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. - Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. REQUIRED SKILLS AND EXPERIENCE: - 4+ years in technical support, developer support, or systems engineering. - Experience managing and delivering against operational SLAs for enterprise accounts - Strong hands-on debugging experience with JavaScript, Python, or similar languages, including the ability to read and reason through an unfamiliar codebase. - Working knowledge of APIs, databases, and Git-based CI/CD workflows. - Excellent written and verbal communication skills, able to convey technical concepts clearly to both technical and non-technical stakeholders. - Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities. - Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure. - A proactive, ownership-driven mindset and genuine empathy for customers building on Replit. NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.). - Exposure to cloud infrastructure (AWS, GCP, or similar). WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Valencia Workplace: OnSite Role highlights: Title: Software AIT Engineer Department: Global Manufacturing Organisation Reports to: Head of MAITE Spain Location: Valencia, Spain Type of Contract: Permanent Working model: On-site Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Software AIT Engineer, you play a vital role in bridging software development and hardware integration at ICEYE. You will lead satellite-level verification and validation campaigns, integrate flight software with satellite subsystems, and develop automated test frameworks to ensure functional readiness. You will act as the primary technical contact for software-related integration issues and drive continuous improvement across AIT methods, test efficiency, and build reliability -- ensuring every spacecraft meets ICEYE's standards for mission success. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Execute satellite-level verification and validation (V&V) campaigns, focusing on functional software operations and system health - Lead the integration of flight software with satellite subsystems (avionics, power, RF, thermal), ensuring seamless interoperability - Develop and maintain automated test scripts and frameworks to enhance efficiency, repeatability, and coverage across functional and environmental test campaigns - Act as primary technical contact for software-related integration issues, performing root cause analysis and coordinating with software engineering to resolve anomalies - Support production readiness and design reviews (PRR, CDR) by providing feedback on software testability, hardware-in-the-loop requirements, and system configuration - Contribute to and improve AIT documentation including software test procedures, integration plans, and configuration records - Interface with Global AIT, Software Engineering, and Mission Operations teams to ensure alignment on product standards and lessons learned - Drive continuous improvement initiatives in integration methods, test efficiency, and build reliability What we’re looking for Must haves: - 5+ years of hands-on experience in integration, testing, or production of complex systems -- preferably in aerospace or high-reliability hardware industries - Strong proficiency in Python scripting and automation for test development and data analysis - Proven experience in multidisciplinary engineering environments with a focus on system-level validation - Deep technical understanding of satellite architectures including command and data handling (C&DH), avionics, or communication subsystems - Familiarity with hardware-in-the-loop (HIL) testing, environmental testing (EMC, vibration, thermal), and configuration management - Systems engineering mindset -- able to anticipate integration risks and connect software logic, hardware interfaces, and mission operations - Proficient English (written and spoken) for cross-functional collaboration Nice to haves: - Experience with Atlassian Cloud tools (Jira, Confluence) - Track record of enabling design-for-testability (DFT) and design-for-manufacturing (DFM) - Lean and Six Sigma experience - Experience writing or improving Python test scripts beyond routine execution Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Final Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise Tech organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives. This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization. We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it. Key responsibilities Strategic Analysis, Operations & Planning Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive Data-Driven Decision Support Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale Leverage Claude to its full capability Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why" Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency Go-to-Market Execution Develop and maintain use case frameworks to capture and standardize how customers derive value Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions Executive Stakeholder Management Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities Cross-Functional Collaboration Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business Support coordination between AMER Enterprise sales segments and partnership teams Help prepare materials for executive reviews and planning sessions Minimum qualifications Deep alignment to Anthropic’s mission Experience in sales strategy, revenue operations, management consulting Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.) Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments. An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations. A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations. Track record of driving forward high-growth sales organizations Disciplined project management and exceptional communication and interpersonal abilities A desire and readiness to do the best work of your career Bachelor's degree required; MBA or advanced degree preferred Preferred qualifications 10+ years of experience in sales strategy, revenue operations, management consulting Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building Experience with AI/ML companies and consumption business models Prior experience building frameworks for sales use cases or value propositions Background in scaling sales organizations through 2-3x+ growth periods 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 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES - The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. - Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. - The Supply Chain of Intelligence: Partnering with leadership to secure and reserve dedicated capacity for Baseten’s largest enterprise customers. RESPONSIBILITIES - Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200), managing the full lifecycle of acquisition, air traffic control, and maintenance for those assets. - Advanced Orchestration: Execute complex workload migrations and "sticky" deployment drains, ensuring deployment scheduling rules meet strict regional and compliance requirements. - Build for Scalability: Design and implement the "next version" of Baseten’s capacity management system to handle a 10x increase in GPU volume. Financial Modeling: Leverage your understanding of unit economics to build ROI models for GPU spend, ensuring Baseten scales profitably. - Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete operational tasks off their plate and verify "last mile" follow-through on infrastructure changes. - Incident Response: Lead capacity-crunch response by rapidly untainting and re- coordinating workloads during high-pressure outages. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field - 5+ years of professional work experience in a high-growth environment, preferably at a hyperscaler (GCP, AWS, Azure) or a specialized GPU provider - Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node draining, and custom operators - Demonstrated experience with Go or Python in a production-level environment Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost - High tenacity and collaborative mindset BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Executive Communications Writer to support and scale the ways our leaders tell our story. In this role, you will work closely with the Head of Executive Communications and other organization leaders to reach priority audiences in ways that compellingly communicate Anthropic's position at the AI research frontier, market-leading commercial posture, and industry-leading commitment to public benefit. In this role, a given day might include drafting, editing, brainstorming, on-site event support, and coordinating executive response to breaking news, all in close collaboration with the External Communications team and other leaders. The ideal candidate will be an adept storyteller, an experienced partner to leaders, and a flexible collaborator, able to navigate ambiguous situations with sound judgment. When circumstances dictate, you should also be capable of shaping highly technical materials that reach sophisticated audiences with deep domain experience. Because a company like Anthropic — and a technology like advanced AI — are unprecedented in nature, we’re looking for proactive, visionary candidates who offer fresh perspectives on what executive communications might look like in the AI era. We are particularly interested in candidates with experience and expert capability in at least one domain relevant to Anthropic's roster of executives. These include: science and research; products and AI architecture; enterprise and commercial strategy; and visual storytelling and brand, among others. Responsibilities: Originate and shape exceptional executive communications that span a wide array of written and rhetorical formats and platforms Work cross-functionally with External Communications colleagues and other subject matter experts to drive consequential communications moments that serve strategic goals Support senior leaders in developing their areas of communications focus and in their preparation for major communications moments Balance a collaborative ethic with a strategic point of view You may be a good fit if you: Have 8+ years of high level executive communications experience, ideally at a high-tempo, industry-shaping organization Are an exceptional writer and communicator — both on the page, and in high-stakes, fast-moving environments Are high agency and low ego Demonstrate comfort and experience in supporting senior leaders Have a point of view on how forces of change are reshaping traditional communications disciplines, including executive communications Display strong operational capabilities Are self-driven with a bias to action Show excellent judgment and instincts in navigating ambiguous situations Maintain epistemic humility while making informed decisions Bring an open and curious mindset to deeply understand technical concepts 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: $295,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: U.S. (Remote) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE: As a Documents Compliance Analyst, you own the compliance decisions behind whether a healthcare professional is cleared to work: background check disqualifications, credential and risk review, and how new state requirements get implemented. You set the standard the team applies, and you are the named decision-maker when a case is hard. What the law requires is a given. How we meet it is up to you, and you own that call. This is not a people management role. The work is recurring by design. The same categories of questions arrive every week, alongside state license renewals and reporting that run on a fixed calendar and never finish. Your value is in reaching the same well-reasoned decision every time and documenting your reasoning well enough that others can apply it. You'll work closely with Agents, SMEs, Team Leads, and Legal, none of whom report to you, so your credibility comes from the quality and consistency of your judgment rather than from authority. You will report to the Head of the Documents Team. WHAT YOU’LL OWN Judgment and decisions - Serve as the named escalation point for background check disqualification decisions - Make the initial call on agency compliance implementation - Handle escalations on worker credential verification, including license violations and reprimands - Decide which questions you resolve and document yourself, and which warrant partnering with Legal Written analysis - Produce risk analyses in a consistent format: the question, your research, your reasoning, your recommended path. - Evaluate new state and agency requirements before implementation, quantifying what compliance costs a worker in time, money, and completion rate, and recommending how we implement. - Build and maintain the decision record that lets other people reach the same conclusion you would Recurring compliance operations - Own the credential verification audits - Plan and drive the implementation of high-value requirements, such as continuing education - State license renewals - Ongoing state reporting REQUIREMENTS: - Bachelor’s degree. - At least 5 years of professional experience. - Prior experience in a role where you applied regulations to real decisions. Examples: - regulatory or compliance-focused paralegal - regulatory compliance specialist - legal analyst - background screening adjudicator - trust and safety or eligibility policy at a marketplace - Experience interpreting statutes, regulations, or agency guidance and turning them into operational requirements. WHAT WE’RE LOOKING FOR: - You can reach a defensible decision when documentation is incomplete or unavailable, and you're explicit about what your reasoning rests on. - You can read complex regulatory material and work out how it applies in practice to a marketplace model. - You weigh compliance risk against business impact and find the path that meets the requirement without restricting more than it demands. - You write decision memos and business cases that leadership can act on. - You build credibility with people who don't report to you. - You own recurring work with hard deadlines, such as license renewals and state reporting. - Willingness to maintain overlapping working hours with Eastern and Pacific time (ET/PT). NICE TO HAVE: - Compliance, regulatory, or licensing experience in healthcare, staffing, or another regulated industry. - Experience at a government or regulatory agency. - Experience with independent contractor or marketplace models. - Experience with background check adjudication or adverse action processes. - Experience with state licensing filings. SYSTEM REQUIREMENTS - Minimum 15Mbps wired internet connection - Minimum i5 processor or equivalent - Minimum 12GB RAM - Dedicated, quiet working environment - Reliable power source and backup internet connection Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.