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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that  secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight Build and operate the zero-trust access gateway that fronts Anthropic's internal services Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls Own cryptographic frameworks and libraries Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic Minimum qualifications 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently Strong programming skills in Go, Rust or Python Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control Hands-on experience with PKI, X.509, mTLS and workload identity Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams A strong sense of developer experience Clear communication across all levels of the organization Passion for AI safety and the role security engineering plays in building trustworthy AI systems Preferred qualifications Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement Maintained or contributed to open-source cryptographic libraries Designed authorization systems using policy languages or relationship-based models Familiarity with ML infrastructure (training, inference serving) 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: $32,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Senior Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with Defense, Federal Civilian and Local Government Agencies in Germany. In this role you will be focussed on business development activity across all PUBSEC Government Agencies and Departments in Germany. We’re looking for an approachable and compelling communicator who loves working with public sector customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better mission and citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As a Senior Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building in Germany. - Develop and execute a sales plan for Germany, prioritizing accounts and opportunities through collaboration with Cohere leadership. - Act as a trusted advisor and thought partner to public sector customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and regional partners, as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 10+ years of direct public sector sales experience in Germany, with a proven track record of closing $3M+ annual quotas. - Deep knowledge of PUBSEC procurement and budget cycles, decision-making processes, and how to work with regional partners and resellers. - Established network in Germany, including federal agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences. - English and German language proficiency essential. - Must be based in Germany with willingness to travel (25-35%). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Technical SEO Analyst to improve the technical foundations that help 1Password.com http://1Password.com attract qualified audiences, support conversion, and build category authority across consumer, product-led growth (PLG), and enterprise experiences. This is a hands-on individual contributor role for someone who moves beyond audits to diagnose root causes, recommend practical solutions, implement changes, and partner with Web Engineering when improvements require code or platform development. Reporting to the Senior Manager, SEO and GEO. On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights fasterso we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity the US. What we're looking for: • 4+ years of hands-on technical SEO experience on a complex software as a service (SaaS), enterprise, international, or multi-audience website. • Strong knowledge of crawling, indexing, rendering, canonicals, redirects, sitemaps, robots directives, structured data, JavaScript SEO, Core Web Vitals, internal linking, and international SEO. • Experience moving from technical diagnosis to implementation through content management system (CMS) changes, engineering requirements, release quality assurance (QA), and measurement. • Experience with an enterprise or headless CMS, including content models, publishing workflows, governance, and data quality. • Experience supporting a domain, CMS, platform, or acquired-site migration. • Strong analytical judgment and working knowledge of Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, crawl tools, Google Search Console, web analytics, and monitoring systems. • Clear communication and cross-functional project leadership, including the judgment to make day-to-day decisions independently and bring forward recommendations on broader decisions. Experience with Contentful, Vercel, Next.js, GitHub, GitLab, server-log analysis, observability, automated testing, workflow automation, cybersecurity, developer products, or a global website serving both business and consumer audiences is a plus. What you can expect: • Monitor and improve crawlability, indexation, rendering, site performance, structured data, internal linking, and international SEO. • Diagnose complex technical issues and recommend priorities based on impact, effort, risk, dependencies, and business goals. • Implement changes in the CMS and partner with Web Engineering on technical SEO requirements, acceptance criteria, and release QA. • Lead defined technical SEO workstreams for migrations and major site changes, including redirect planning, launch monitoring, and post-launch remediation. • Maintain agreed taxonomy, structured-content, internal-linking, and data-quality systems that support scalable content discovery. • Build monitoring, dashboards, alerts, and repeatable processes using crawl, search, analytics, log, and CMS data. • Use artificial intelligence (AI), scripts, application programming interfaces (APIs), and automation to scale technical analysis, quality assurance, and repeatable fixes with appropriate human oversight. USA-based roles only: The annual base salary for this role is between $88,000 USD and $123,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: 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 The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function, using automation, quantitative risk and AI-native platforms to enable decision making. The risks we assess span Anthropic's full security landscape, so the team needs breadth across domains and the judgment to go deep wherever a decision demands it. Security Risk, in deep partnership with Security Engineering, helps define the security program and shapes how investment and treatment decisions get made. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions. As a Security Risk Analyst you will take risk questions from leadership and partner teams and drive them to a decision. Sometimes that is a fast, structured qualitative assessment and other times it is a deep FAIR-based quantitative analysis. Either way you bring leadership a clear position, the tradeoffs, and honest uncertainty, and you defend it under challenge. In parallel, you will help turn quantitative risk into a product partner teams can leverage, and define the standards a growing risk function will run on. Key responsibilities Enable leadership and partner teams to make risk-informed decisions. Take ambiguous risk questions, drive them to a documented decision, and communicate the quantitative and qualitative tradeoffs clearly Lead quantitative analysis of the company's top security risk scenarios using FAIR, calibrated estimation, and simulation, working with the engineers who own the systems and presenting results in terms leadership can act on Partner with Security Engineering to assess threat scenarios and control effectiveness so security investment is right-sized to actual risk and remediation is sequenced where it buys down the most risk Frame escalations and risk treatment decisions with a clear recommendation, an honest statement of uncertainty, and re-evaluation triggers, and pressure test those decisions with risk owners Shape the analysis and narrative behind leadership risk reviews, and help define risk appetite and the risk metrics the organization should measure and why Use AI and automation to scale risk analysis, and own the calibration and quality review that keep the outputs trustworthy Turn one-off analyses into reusable methods, templates, and training so risk analysis becomes increasingly self service for partner teams, and raise the analytical quality of the risk register You may be a good fit if you Have owned security or technology risk analysis end to end, qualitative and quantitative, and can point to a decision your output changed, whether a funding call, a launch call, a remediation sequence, or a documented acceptance Have hands-on FAIR-style quantification experience, including scenario decomposition, calibrated estimation, and Monte Carlo simulation in Python, R, or spreadsheet tooling, briefed to decision makers Thrive in ambiguity. You frame a moving question into something analyzable, pick the depth that fits, and drive to a decision rather than a report Put defensible severity and likelihood on ambiguous problems, state uncertainty honestly, and change your position when the evidence changes Have enough technical security depth to decompose an attack path with security engineers and be credible in the room Can compress a complex risk position into one paragraph for the CISO, make the tradeoff explicit, and defend it under pointed questions Use Claude or other LLMs as daily working tools and review model output critically Are low ego and collaborative, build credibility through the work, and care about AI safety and the role security risk plays in it Strong candidates may also Have applied FAIR-CAM or another structured approach to control effectiveness and attack path modeling Have built or operated a cyber risk quantification program, or turned quantitative analysis into tooling, templates, or training that others ran Have helped define risk appetite or tolerance thresholds an organization actually used to make decisions Bring a background in security engineering, detection, threat intelligence, actuarial science, or decision science that grounds the numbers in real systems Are familiar with security risks specific to AI systems, such as goal or intent modification, and how they change traditional threat models The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom; Zurich, Switzerland; Paris, France Workplace: Hybrid About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: Ledger has secured digital assets for millions of people. Ledger Enterprise brings the same security to institutions. Banks, exchanges, custodians and stablecoin issuers use our platform to hold, move and govern digital assets on infrastructure they control: Vault for self-custody, HSM On-Premises for institutions that need keys inside their own perimeter, TradeLink for off-exchange settlement, and Multisig for on-chain governance. You’ll work closely with Business Development, Solutions Engineering, Product, Legal and Support, covering clients across Europe, the Middle East and Africa. Join a young, international, driven team in one of Ledger’s fastest-growing areas. What you’ll be doing: You will own a portfolio of institutional clients from signature onward. That covers onboarding, integration, adoption, renewal and expansion. You will be their trusted advisor inside Ledger and their voice in our product roadmap. - Own client relationships end to end. Be the primary contact for a portfolio of exchanges, banks, custodians and fintechs, and build relationships from operations teams up to C-level. - Drive integration and adoption. Explain product features clearly, run workshops, and guide clients through technical integration together with our Solutions Engineers. - Grow accounts. Identify and close upsell and cross-sell opportunities such as new products, additional users, assets or entities. Own your expansion and retention targets. - Negotiate renewals and contracts. Lead commercial discussions on renewals, amendments and pricing, working with Legal on terms. - Shape the product. Turn client feedback into clear, prioritised input for Product and influence what we build next. - Run the account rhythm. Lead QBRs, maintain account plans, keep the CRM accurate, and flag risks early. - Represent Ledger. Meet clients on-site and at industry events across EMEA, with occasional travel. What we’re looking for: - 4+ years in a similar account management or customer success role, ideally in B2B SaaS or enterprise infrastructure software. - Proven experience managing financial institution clients such as banks, asset managers, custodians or payment providers. - A track record of upselling and expanding accounts against targets. - Experience negotiating contracts and renewals with enterprise clients. - Comfort with technical conversations: you can explain APIs, integration flows and security concepts without needing an engineer in every meeting. - Hands-on experience with digital assets, or a clear and demonstrable interest in the space. - Excellent written and verbal communication in English. You can adapt your message for a CISO, a head of operations or a CFO. - A structured, self-driven way of working. You manage a portfolio without being chased. Nice to have: - Understanding of regulatory frameworks relevant to EMEA clients, such as MiCAR, DORA, the Travel Rule, the Basel crypto-asset standards, FINMA requirements, or Middle East regimes like VARA (Dubai) and ADGM. - Familiarity with custody and key management concepts like MPC, HSMs and cold/warm/hot wallet setups. - Additional languages, especially German, French or Arabic. - Experience at a crypto-native firm, a bank’s digital asset desk or a custody provider. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them. About the role You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current. You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop. This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it. Key responsibilities Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record Minimum qualifications Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from Ability to get partner teams to prioritize and close compliance work without authority over them Preferred qualifications Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection Hold or are eligible for a US security clearance Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS You don't need to Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query and challenge Hold every certification. CISSP, CISA, CGRC or similar are welcome and not required Have prior AI industry experience 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: $255,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: White Plains, NY Legal Assistant At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their individual talents and ideas to strengthen our team, our brand, and our services. We promote a culture that serves to empower and motivate employees beyond the standard corporate rhetoric one might see on motivational posters. Employees understand their individual roles in serving our customers, and this clarity of purpose encourages high job performance. Position Overview We are seeking a highly organized, detail-oriented and proactive Legal Assistant to join the Legal Department at Rectangle Health, a privately held corporation in White Plains, New York. This is a full-time, on-site position will support the Company's legal, regulatory, corporate governance, compliance, and contracting activities. The Legal Assistant will provide administrative and substantive support to the Legal Department and will work with confidential and commercially sensitive information. The successful candidate will have a successful track record handling confidential and sensitive information with appropriate discretion, a high attention to detail, be proactive, be able to manage short timelines sometimes, manage multiple priorities, and interact professionally with employees at all levels of the organization as well as outside counsel and other third parties. This position is well suited for an individual who takes pride in confidentiality, accuracy, responsiveness, and organization. Key Responsibilities Legal Department Support Provide day-to-day support to the Legal Department. Prepare, format, proofread and revise letters, agreements, memoranda, presentations and other legal and business documents. Coordinate execution and distribution of contracts and other legal documents, including electronic signatures. Maintain organized electronic legal files and records and ensure that final executed agreements are appropriately stored. Maintain Legal Department calendars, deadlines and other important dates. Schedule meetings and coordinate with internal business teams, outside counsel and other third parties. Contracts and Corporate Records Assist with the administration and organization of customer, vendor and other commercial agreements. Track agreements through review, approval, signature and final storage. Maintain contract records and assist with tracking expiration, renewal and notice dates. Assist with preparation and maintenance of corporate records, organizational documents and other governance materials. Coordinate signatures, notarizations, certifications and document requests as necessary. Corporate Governance and Compliance Assist with the preparation and organization of materials for Board and committee meetings. Maintain corporate governance files, including Board materials. Assist the Legal Department with compliance projects, internal policies and recordkeeping. Help coordinate responses to requests for corporate and legal documentation. Support periodic Legal Department projects, audits and information requests. General Administrative Responsibilities Maintain an organized and efficient filing and document-management system. Coordinate meetings, conference calls and departmental activities. Assist with preparation of reports, spreadsheets and presentations. Communicate professionally with employees, executives, outside counsel, vendors and other external parties. Identify opportunities to improve Legal Department administrative processes and organization. Perform other duties and special projects as assigned. Qualifications Required Minimum of 5 years of legal assistant, paralegal or comparable professional legal experience . Excellent organizational skills and exceptional attention to detail. Strong written and verbal communication skills. Demonstrated ability to manage multiple assignments and deadlines simultaneously. Strong proofreading, document formatting and file-management skills. Proficiency in Microsoft Word, Outlook, Excel and PowerPoint. Ability to exercise sound judgment and maintain strict confidentiality. Professional demeanor and ability to communicate effectively with senior executives and other employees. Ability to work independently while functioning effectively as part of a collaborative Legal Department. Ability to work on-site in White Plains, New York, five days per week . Preferred Prior experience working in an in-house corporate legal department. Compensation & Benefit Profile: $70,000 - 75,000 annual total compensation (commensurate with experience) Competitive Medical Health Plans, Low, Mid, High. Employer Paid Low Medical Plan for Employee & Dependents (HSA Eligible) Employer Paid Dental & Vision for Employee Employer Paid Life Insurance for Employee Employer Paid Long-term Disability for Employee Employer Paid Hospital Confinement for Employee ~ (If enrolled in Medical) + Voluntary Supplemental Insurance Coverage Options 15 days PTO & 7 Sick Days Annually 10 Fixed Paid Holidays Off Annually 401(k) Matching up to 3% About Us: Rectangle Health, a leading financial technology company, empowers medical, dental and specialty practices with seamless and secure technology to drive revenue by increasing patient payments and streamlining practice management and payment processing. Since 1992, the company’s innovative solutions have reduced administrative burden and rebalanced the ledger for its thousands of healthcare providers in the U.S., reliably processing billions of dollars in payments annually. View our CCPA disclosure notice here

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. 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: $255,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ireland Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. We're looking for a Localisation Project Manager (Localisation Operations Specialist) based in Ireland to join our Managed Services team. In this role, you'll own the end-to-end localisation lifecycle for a portfolio of enterprise clients, serving as both their operational point of contact and a key contributor to how our team delivers value. This is a role for someone who brings real localisation experience, thrives in a fast-paced, remote-first environment, and is energized by the challenge of balancing operational precision with strong client relationships. You Will Act as your clients' embedded localisation operations expert, serving as the primary operational point of contact and trusted advisor for assigned accounts. Foster strong stakeholder relationships, navigate competing priorities, and coordinate cross-functional teams to ensure the successful execution and continuous improvement of clients' localization programs. Design and optimize localisation processes within Smartling’s platform and client-preferred project management and content management tools, overseeing the end-to-end job lifecycle and tailoring configurations to each client’s unique requirements, including effective use of AI tooling where applicable. Solve problems both independently and collaboratively, bringing a solutions-first mindset to client challenges and internal roadblocks. Proactively drive operational excellence by identifying and implementing process improvements, documenting best practices, and leveraging automation and AI-enabled solutions to streamline workflows, enhance scalability, and improve team efficiency You Have At least 2-3 years of experience in localisation or translation project management, ideally within a managed services or agency environment Solid understanding of localisation file formats, content types, and CAT/TMS tooling Strong client management skills: comfortable leading calls, navigating difficult conversations, and representing the team externally Proficiency with project management and reporting tools (e.g., Jira, Asana, Google Sheets, Looker, or equivalent) Experience coordinating with cross-functional teams across engineering, QA, and vendor management Excellent organizational and time management skills, with sharp attention to detail and the ability to manage competing priorities across time zones Strong written and verbal communication skills Preferred but not required Hands-on experience with Smartling or other TMS platforms (such as Phrase, XTM, or MemoQ) Experience supporting enterprise or SaaS clients in an operational or customer-facing role. Fluency or working proficiency in a second language Interest in language, technology, or global content strategy You Are Accountable. You take full ownership of your accounts, addressing issues promptly and documenting root causes and preventative actions for future improvement. Customer-Focused. You understand that client deadlines and requirements are real business commitments and consistently approach them with urgency, accountability, and care. Adaptable. You adjust effectively to changing scope, priorities, and unexpected client inputs without losing focus or execution quality. Communicative. You proactively stay ahead of client needs by sharing status updates, surfacing risks early, and contributing insights, guidance, and best practices. Process-Driven. You adhere to established processes while actively identifying opportunities to improve efficiency and consistency. You Will Enjoy Freedom 🏡- we are remote-first Growth - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary Wellness - company-sponsored Health insurance plan & pension plan with company matching Balance - flexible PTO + 10 bank holidays! Generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral programs and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. To all recruitment agencies: Smartling does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or Smartling employees. Smartling is not responsible for any fees related to unsolicited resumes. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.

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 an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns 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: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This is an overnight shift role with working hours of 12:00am - 7:00am EST. As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible. In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership. Some examples of our projects: A tool to quickly analyze strace output A solution to capture the state of a customer’s server for easier troubleshooting A functionality to ChatOps to make it easier to identify user accounts on GitLab.com What you’ll do Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints. Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements. Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues. Participate in regular pairing sessions with other Support Engineers and act as a stable counterpart to cross-functional teams to share knowledge and improve support processes. Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient. Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments. Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions. What you’ll bring Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows Skill in creating and maintaining clear, accurate support content and technical documentation Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role About the team At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries. We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: Torrance, United States As a Senior Thermal Engineer, you will own the thermal engineering methodology across our missile systems. You will define thermal architectures, develop high-fidelity thermal models, and use first-principles analysis, simulation, and hardware testing to ensure our vehicles perform reliably in some of the most demanding thermal environments imaginable. You'll work across aerodynamics, structures, electrical, propulsion, systems, manufacturing, and test engineering to develop integrated thermal solutions from concept through flight. Your work will span transient mission analysis, electronic unit thermal management, specialized ground testing, and flight-test instrumentation and data analysis. This role is ideal for an engineer who enjoys moving fluidly between analytical models, real hardware, and flight data—and who wants to directly influence vehicle architecture and design decisions from day one. RESPONSIBILITIES Thermal design and analysis of unmanned air vehicles at conceptual, preliminary, and detailed design maturities Define thermal system architectures and material selection strategies for vehicles operating in demanding flight environments Thermal analysis of flight vehicles using standard thermal analysis codes and engineering/hand methods Transient thermal analysis for time-varying mission profiles Ground test planning, execution, and analysis in specialized thermal test facilities Flight test planning, execution, and post-flight thermal data analysis Use first principles and MATLAB/Python models to inform design decisions Collaborate with aerodynamics, structures, electrical, and systems engineers on integrated solutions Present thermal status at formal reviews internally and with customers Prepare formal documentation (specifications, test procedures, technical reports) BASIC QUALIFICATIONS BS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments 5+ years of experience in aerospace thermal engineering on rocket, spacecraft, aircraft, or missile programs Experience with electronic unit thermal analysis and control to component junctions Ground testing experience with thermal instrumentation and data acquisition Strong programming skills in MATLAB, Python, or similar for tool development Experience preparing formal documentation CAD experience with SolidWorks or Siemens NX Ability to obtain and hold a U.S. security clearance PREFERRED SKILLS AND EXPERIENCE MS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics with focus on heat transfer and fluid dynamics Experience with material ablation response modeling in extreme thermal environments Knowledge of material degradation and surface phenomena under demanding conditions Experience with specialized thermal ground test facilities Flight test experience including instrumentation design and post-flight analysis Experience with Thermal Desktop/SINDA Experience with manufacturing and assembly of thermal systems Active U.S. security clearance

Location: Los Angeles, CA Workplace: onsite About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ About the Role   We are looking for a hungry, energetic Partner Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on building Spin.ai's partner network - initially focusing on the Google Workspace partner ecosystem, then growing into security-specific partnerships. You will help sell Spin.ai's recently acquired industry leader in Google Workspace Security, DoControl, as well as Spin.ai's growing Browser Security solution, combining the two into a powerful, best-of-breed security offering. With the foundation already built - working with leading GWS partners such as SADA, Pythian, and Wursta - we're looking for someone who can take over the running motion and, most importantly, push it to the next level with their knowledge and expertise. What You'll Do: Partner Sourcing Identify net-new Google Workspace and security resellers to work with, and book intro meetings to communicate joint value Attend local and global events to grow and maintain relationships, representing Spin.ai as a leading Google Workspace DLP and Browser Security solution Work with the VP of Sales and Account Executives to schedule initial account-mapping sessions and start driving joint pipeline Complete and sign relevant reseller agreements, and negotiate and confirm margins Partner Deal Sourcing Work with the partner sales team and Spin.ai 's sales team to build joint pipeline - this includes writing emails for partner reps to send to their customers, following up on those threads, and creating slides for their recurring customer calls Enable the partner sales team to effectively position and sell Spin.ai security solutions through weekly 1:1 account mappings and the materials listed above Stay involved as needed from deal sourcing through closed-won to ensure strong engagement from both sides and a successful outcome for all parties Partner Relationship Management Partnerships are a relationship game - maintain key relationships across all major partners to keep Spin.ai top of mind and seen as a trusted partner This includes weekly 1:1s with key reps, traveling for lunches, dinners, and events, and staying in regular, informal contact (text) Market Expertise Maintain deep knowledge of the Google Workspace DLP and Browser Security space Understand Spin.ai's differentiators and know every competitor inside and out Fluently pitch the combined DLP + Browser Security solution, with the ability to sell each individually or jointly as needed Ask the right discovery questions to effectively communicate joint value in partner intro meetings What You Bring: Google Workspace Partner Experience: 3+ years of experience successfully working and selling within the Google Workspace partner ecosystem (SADA, 66degrees, Pythian, etc.) Domain Knowledge: Strong understanding of DLP and Browser Security Security Partner Experience: Google Workspace is the primary focus, but you also have the drive and ability to grow into building security-specific partnerships (Optiv, etc.) Positive Attitude: A mindset focused on positivity and finding ways to do more, every day Grit and Drive: Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects What We Offer: $300k OTE plus Uncapped Commissions Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.   EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.  View The EEO is the Law poster and its supplement.    Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.

Location: Los Angeles, CA Workplace: onsite About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ About the Role We are looking for a hungry, energetic Regional Sales Manager to join our growing security team. Reporting directly to our VP of Sales, this role will focus on selling Spin.ai's industry-leading Browser Security solution - a fast-growing market - as well as its recently acquired, best-of-breed SaaS DLP solution, DoControl. This role centers on cutting-edge security, combining top-tier SaaS-level DLP and Browser Security capabilities into a solution no other vendor in the market is able to match. This is a net-new-logo role focused on the Mid-Market/Enterprise space, with an average deal size of $100,000. What You'll Do: Pipeline Creation Work with the VP of Sales and Partner Manager to source deals through our growing partner network - Optiv, Defy, and others Build market awareness by attending trade shows, building relationships, and following up relentlessly Partner with Marketing and the SDR team on strategic, focused outbound and inbound management efforts Deal Management Drive deals from sourcing to closed-won, including discovery, demos, and Proof-of-Value (POV) execution, negotiations, and procurement Multi-thread accounts and build relationships from the executive level down to ensure deal alignment and success Partner with the Principal Solutions Engineer to deliver effective, relevant demos and POVs Align internal teams as needed to support account success - product requests, financial approvals, etc. Market Expertise Maintain deep knowledge of the Browser Security and DLP space Understand Spin.ai's differentiators and know every competitor inside and out Fluently pitch the combined Browser + DLP solution, with the ability to sell each individually or jointly as needed Ask the right discovery questions to uncover each prospect's real challenge Partner with Product to provide feedback on where we can continue to improve and enhance the solution Keep Salesforce up to date and maintain a clean, accurate forecast, fulfilling MEDDPICC requirements to ensure each deal is properly qualified, with gaps identified and resolution paths in place What You Bring: Cybersecurity Experience: A proven track record successfully selling enterprise deals ($100K+) for 3+ years, with consistent quota attainment Domain Knowledge: Strong understanding of the Browser Security and DLP space, ideally with experience selling similar products Partner Experience: A track record of selling with and through channel partners in the cybersecurity space Positive Attitude: A mindset focused on positivity and finding ways to do more, every day Grit and Drive: Willingness to get hands-on, go above and beyond, leverage internal resources, and do what it takes to drive success for yourself and your prospects What We Offer: $300k OTE plus Uncapped Commissions Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.   EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.  View The EEO is the Law poster and its supplement.    Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You’ll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company, and you’ll have an opportunity to build most of them from scratch. This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You’ll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams. WHAT YOU’LL WORK ON: - Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes - Design a legal intake process to support and route legal requests from internal stakeholders - Make the legal function faster with AI, and build and configure tooling to make us more efficient - Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database - Be the point person for corporate compliance, including entity management, foreign and domestic qualifications and filings, and coordination with registered agents - Support stock administration and cap table hygiene - Manage outside counsel and legal spend YOU MAY BE A FIT IF: - You have 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company - You’ve built and documented processes from the ground up, not just executed existing ones - You have experience configuring workflows and templates within Ironclad or a similar CLM - You have experience with AI tools and good instincts about where they help and where they quietly introduce risk - You have sound judgment about what to handle and what to escalate NICE-TO-HAVE: - Exposure to corporate and equity administration - Familiarity with Carta or a similar equity administration platform

We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. If you think in systems, lead through others, and measure what matters, this role is for you.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as a Staff Mobile Software Engineer for Stytch, where you'll shape the next generation of identity and fraud prevention products. About the job As a Staff Mobile Software Engineer you will help scale Stytch’s core identity and fraud products as we bring Stytch capabilities to Twilio’s full customer base, delivering secure, developer-first identity and fraud prevention experiences. You’ll build mobile SDK products that power authentication, fraud detection and prevention as well as emerging agentic identity use cases. You’ll partner closely with product and engineering leadership to design and deliver high-impact customer-facing features, and evolve our platform for Twilio’s scale. This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale. Responsibilities Build and own the mobile SDKs for Stytch’s identity and fraud detection platforms on Twilio—go deep on device internals for complex signal collection to improve identification of bad actors and ship new SDK surfaces powering core authentication flows, including agenting and non-human identity use cases. Partner with Product and Engineering leadership to set direction, translate customer needs into product capabilities, and deliver high-impact roadmap features. Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities, and unblock cross-team initiatives. Operate with deep technical ownership: author design docs, drive key technical decisions, review code, and stay close to the systems you ship. Build in ambiguity—break down complex problems, make pragmatic tradeoffs, and design developer experiences that delight our customers. Improve production quality and resilience through strong observability, incident response and remediation. Mentor and support other engineers through pairing, feedback, and knowledge-sharing, helping raise the team’s technical bar and culture. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required 6+ years of professional mobile engineering experience, with deep experience in designing, building and maintaining mobile applications. Android development experience, fluent in Kotlin or Java. Expertise in mobile development ecosystems, frameworks, 3rd party libraries. Deep understanding of software engineering best practices, including monitoring, observability, and building maintainable systems. Experience making high-impact technical decisions and leading technical initiatives. A proven track record of driving technical excellence while keeping customer needs at the center of your work. Deep understanding of software engineering best practices, including monitoring, observability, and building for the long term. Exceptional communication and collaboration skills, with the ability to influence and align stakeholders. Bachelor’s degree in Computer Science or related industry experience. Excellent written and verbal communication skills. Schedule: ability to work non-standard, on-call rotation weekend and holiday hours. Desired iOS development experience. Familiarity with Kotlin Multiplatform, C/C++, Swift or Go. Experience building developer tools or SDKs. Builder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to life. Location This role will be remote in either the US or Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 - $213,900 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 - $226,500 Based in the San Francisco Bay area, California: $201,280 - $251,600 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.