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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annualized revenue, 32M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We are looking for a Growth Marketer to own demand generation for our B2B and enterprise business. Our GTM team already has sellers closing deals, creators producing cinematic content for enterprise audiences, and an email engine reaching thousands of prospects. Your job is to build the machine that feeds all of it: campaigns, funnels, and channels that turn attention into qualified pipeline. You are judged on pipeline and revenue influenced, not on clicks or impressions. This is a hands-on operator role. There is no playbook to execute; you will be writing it. WHAT YOU'LL DO GENERATE PIPELINE - Plan, launch, and scale integrated campaigns across paid channels (LinkedIn, Google, X), retargeting, and content distribution that convert into qualified meetings. - Build account-based programs on target enterprise accounts together with sales: the right message, to the right buyer, at the right moment. BUILD THE B2B FUNNEL - Own landing pages and conversion paths from first touch to booked meeting: copy, creative briefs, forms, routing, follow-up. - Launch webinars, showcases, and campaign moments using the cinematic work our creators produce. MEASURE, ITERATE, SCALE - Own funnel metrics end to end: cost per meeting, conversion by stage, channel ROI, attribution. You pull your own numbers and tell an honest story with them. - Run a constant experiment loop: test messaging, audiences, and channels weekly; kill what doesn't convert, scale what does. - Build lightweight systems (Sheets, APIs, automation, AI tools) instead of doing the same work by hand every week. RUN THE GTM LOOP - Sync campaigns with our sales, email, and creative teams so every touch a prospect sees tells one story. - Feed market signal back to product and leadership: what resonates, what objections repeat, where demand is forming. YOUR MUST HAVES - 3+ years in B2B growth, demand generation, or performance marketing at a SaaS or AI company. - A measurable result you can walk us through: pipeline or revenue you generated, which channels drove it, and what part of it was yours. - Hands-on paid channel experience (LinkedIn Ads, Google Ads) with real budget ownership. - Full command of your data: funnels, attribution, dashboards. You don't wait for an analyst to tell you what happened. - Excellent written English and strong copy instincts: you can write a landing page, an ad, and a nurture email yourself. - AI-native: you use LLM tools daily and automate before you hire out. - High agency, fast execution: you ship, iterate, and don't wait for perfect. NICE TO HAVES - ABM and marketing ops tooling: HubSpot or Salesforce, Clay, 6sense or similar. - Experience marketing to enterprise and Fortune 500 buyers. - Webinar or event program experience. - Experience in creative tools, generative AI, or the broader martech ecosystem. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in. - Full-time position.

Location: France; Italy We are growing! We are currently looking to hire a Director, Luxury Market Intelligence & Insights . About CXG: Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide. The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation. We are passionate about delivering impact. Our clients include the world's most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction. We are looking for a thought leadership expert with the editorial vision to spot what matters next, the conviction to shape CXG's point of view, and the writing talent to make it influential across luxury retail, beauty and cosmetics, watches and jewellery, automotive, and hospitality. Context and role Reporting to the Chief of Staff, you will lead CXG's Thought Leadership and Market Intelligence functions. You will define the topics on which CXG should have a distinctive and credible point of view, turn CXG's proprietary data, expertise and market knowledge into original external content, and position the company ahead of emerging developments in customer experience, luxury and its priority verticals. This is a hands-on role: you will research, analyse, write and produce content yourself, while mobilising expertise and data from across the business. You will be accountable for ensuring that every publication presents a recognisable CXG angle rather than simply reporting market developments or repeating established industry views. You will manage one Market Intelligence team member. Thought Leadership Development Define the thought leadership strategy and roadmap, including priority themes, target audiences, formats and a realistic publication calendar. Drive and coordinate content creation across Practices, Solutions and Regions. Work closely with Practices, Regions and Solutions to: Push: scan for trends and hot topics and ensure CXG has a voice and perspective, commenting regularly on these subjects. Pull: identify and collect new ideas and proposed topics from the relevant stakeholders, prioritise and incorporate them into the thought leadership roadmap. Use market intelligence, CXG's proprietary data, internal expertise and client-facing insights to identify emerging topics early, develop a clear CXG point of view and decide where CXG can make a credible contribution to the conversation. Research, interview internal experts, write and edit articles, perspectives and other thought leadership content directly. Challenge generic claims and ensure each piece advances a clear argument and is supported by credible evidence. Ensure that analysis is methodologically sound, appropriately contextualised and presented without compromising client confidentiality. Develop topics that connect expertise across Practices and Regions, while reflecting relevant differences between markets. Thought Leadership Communication Ensure relevant thought leadership pieces (e.g., perspectives, publications) are disseminated on a periodic basis. Work with Marketing on the publication, distribution and promotion of content, while retaining ownership of the editorial strategy, substance, quality and consistency of CXG's point of view. In addition, collaborate with Marketing to maximise impact by communicating through the channels relevant to each market. Track the reach, engagement and qualitative response generated by CXG's thought leadership, as well as relevant business enquiries influenced by published content. Use the findings to refine the roadmap. Shape and host or contribute to CXG's podcast "The Luxury Edit", working with internal experts and guests to develop topics, prepare interviews and turn conversations into useful content. Develop the content and key messages for CXG-hosted events and external conferences, panels and talks; act as a CXG speaker where appropriate; and work with internal experts to prepare other CXG speakers and turn the company's point of view into compelling presentations and discussion topics. Look for and test new thought leadership formats (e.g., interactive reports, data visualisations, short-form video, newsletters, social-first content) to broaden reach, engage new audiences and keep CXG's content distinctive. Identify and build collaborations with conferences, specialised industry magazines and universities (e.g., content partnerships, guest articles, co-branded publications, joint research, guest lectures, speaking slots) to extend CXG's visibility and credibility with target audiences. Market Intelligence Keep abreast of market and competitive developments and ensure relevant findings are communicated across CXG. Translate these findings into clear implications for CXG's strategic priorities, client conversations, commercial opportunities and external thought leadership. Contribute market intelligence, evidence and relevant CXG perspectives to priority proposals and client deliverables, working with Practices, Solutions and Regions to strengthen the quality and relevance of the final output. Manage and develop the Market Intelligence team member, setting clear priorities and reviewing the quality and usefulness of their work. Competitive Analysis Develop and continuously update a list of CXG competitors. Research competitor performance, including revenues and market share where reliable information is available. Identify and assess the impact of new competitors' offerings. Review competitors' thought leadership, influence and presence. Identify gaps in the conversations competitors are leading and opportunities for CXG to establish a distinct position. Industry Analysis Research and review clients' developments (e.g., new strategy, launch of new product or service, restructuring, M&A, key managerial appointments). Track public financial announcements (e.g., quarterly and annual earnings). Monitor developments in luxury, retail, customer experience and adjacent sectors; distinguish lasting shifts from short-lived topics and explain their implications for CXG and its clients. Publish the weekly "This Week in Luxury" news brief and issue timely flash updates when significant developments require immediate attention, such as financial announcements, major transactions or leadership changes. Internal Dissemination and Application Synthesise research and findings into concise, actionable outputs tailored to the needs of relevant internal stakeholders. Feed findings into the Thought Leadership roadmap. Proactively bring relevant market signals to Practices, Regions and leadership early enough to inform decisions, client conversations and potential cross-practice opportunities. Disseminate new thought leadership across CXG and equip Practices, Regions and client-facing teams with the key messages and supporting materials needed to use it in client conversations and commercial activities. Requirements What will you bring along? Proven experience developing thought leadership, editorial content or insight-led communications in a consulting, research, customer experience, retail or luxury environment. Excellent English writing and editing skills, with a portfolio demonstrating original, well-argued, evidence-led articles or publications written personally. If possible, include examples that turn proprietary research, data or specialist expertise into a distinctive point of view. Additional languages (e.g., French, Mandarin) are a plus. Strong oral communication and presentation skills, with the confidence to represent CXG as a speaker at conferences, panels and client events. Proven ability to build relationships and influence senior stakeholders across functions and regions without direct authority. An established network or demonstrated ability to build partnerships with media, conference organisers, academic institutions or industry bodies. Comfort working with quantitative data and research methods, and the ability to translate data into clear, credible narratives and visualisations. Ability to define and track content performance indicators and use them to refine editorial priorities. Strong research and analytical skills: able to assess sources critically, connect market signals and form a clear point of view rather than simply summarise trends. Familiarity with AI-assisted research and content tools, used with appropriate rigour. Sound knowledge of luxury, retail and customer experience, and curiosity about how these sectors are evolving across markets. Ability to interview senior experts, challenge ideas constructively and turn specialist knowledge into accessible, credible content. Comfort working independently in a remote setting, managing an editorial roadmap and delivering finished work without a large production team. Experience managing or coaching at least one team member. Confidence preparing and hosting interviews or podcasts is a plus.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced leader for our Treasury, Liquidity & Capital Planning team. In this foundational role, you will own the forward view of the company's cash and balance sheet as Anthropic manages one of the fastest-growing balance sheets in technology alongside some of the largest infrastructure commitments any company is making. You will report to the Head of Investments & Market Risk and work closely with FP&A, Accounts Payable, Collections, Controllership, Legal and Infrastructure Finance. This is a rare opportunity to build a liquidity and capital planning function from the ground up at a high-growth AI company. You bring a strong background across multiple pillars of Treasury and a track record of driving complex, cross-functional initiatives through to completion with limited direction and full accountability. You are proficient in using AI tools to drive automation and process optimization, and you will use Claude to build much of the tooling that makes Treasury faster and more precise. Key responsibilities Build, own and continuously improve a direct cash flow model and forecast by legal entity and currency, tied to bank data at the front end and to FP&A's operating plan, so the company sees liquidity needs well before decisions have to be made Establish a disciplined forecasting cadence across monthly, quarterly and annual cycles, with forecast-to-actual variance analysis built on bank transaction data Partner with FP&A and Strategic Finance to support capital allocation decisions with scenario and sensitivity analysis and clear liquidity trade-offs Monitor and manage working capital drivers, including receivables, payables and DSO/DPO, to anticipate cash flow impacts and improve liquidity Prepare cash flow analyses and executive-level materials for the Treasurer, CFO and senior leadership, highlighting key drivers, risks and opportunities Partner with FP&A, Accounting, Tax and business teams to understand forecast movements, challenge assumptions and improve accuracy, while strengthening processes, reporting and controls so the framework scales Serve as back-up for the investments desk (in-house portfolio, money market funds, deposits and separately managed account instructions) and for the FX, commodities, rates and credit desk Minimum qualifications Have built and owned a direct cash flow model and forecast across multiple legal entities and currencies Can project a balance sheet, leverage and covenant metrics as comfortably as cash, and explain the trade-offs clearly to a CFO and other non-Treasury stakeholders Understand how a forecast turns into an investment ladder, a hedge program and a compliance test, not just a report Have stood up models, reporting and controls where none existed, and are comfortable being the whole team Work directly with data, including bank feeds, ERP cash flows and portfolio reports Understand money market funds, deposits, short-duration securities and basic hedging mechanics well enough to cover a trading desk Exercise strong judgment in ambiguous situations and build effective relationships across Finance, Legal and the business Preferred qualifications 10+ years of relevant experience in treasury or corporate finance Have led a cash flow forecasting or liquidity planning function inside a large corporate Treasury Have supported a revolving credit facility, debt issuance or rating agency process with forecasts and covenant models Have worked in Treasury through hypergrowth, large financings or an IPO Have used Claude or similar AI tools to automate Treasury workflows and reporting Are familiar with a treasury management system, Clearwater, planning tools or a data warehouse such as BigQuery Have executed trades under a Treasury policy, including direct securities, money market funds, deposits, and FX spot and forwards Hold a CFA, CTP or CPA Are excited by Anthropic's mission to build safe, transformative AI systems, and by Treasury work that directly supports it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Paris, France Workplace: Hybrid 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: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own consumer sales analytics end to end: Ledger.com http://Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin - Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting - Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth - Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision - Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect - 2 to 4 years of experience in data analytics, analytics engineering or data science - Strong SQL - dbt skills are a plus - Tableau skills are a strong plus - Data driven and business oriented; able to challenge stakeholders' methodology - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 — £230,000 GBP 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: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for an experienced and operationally sharp Security Operations & Incident Response Analyst (L3) to join Aleph's global IT Security team. Reporting to the Global CISO, you will be the first line of defence when incidents occur and the engine behind the team's threat detection and response capabilities. You will own the end-to-end incident response process, lead threat hunting and intelligence activities, and manage the vulnerability and identity governance programmes — ensuring Aleph is both able to detect threats quickly and respond to them effectively across a complex, globally distributed environment. What you'll do: Incident Response Own and coordinate the end-to-end incident response process : identification, triage, containment, eradication, recovery, and post-incident review (lessons learned). Serve as the primary point of contact for security incidents escalated from IT Operations, the Security Engineer, and external sources. Maintain and continuously improve incident response playbooks for the most relevant threat scenarios (ransomware, phishing, account compromise, data breach, insider threat, etc.). Manage the security incident log and register : track all incidents, document timelines and actions, and produce trend analysis and reporting for the CISO. Coordinate with external SOC or MDR providers where applicable: review daily reports, validate alert quality, and manage escalation workflows. Data Breach Management Lead data breach investigations : scope the breach, gather and preserve evidence, assess PII exposure, and coordinate response with Legal, Privacy, and HR. Produce breach investigation reports with findings, root cause, and recommendations. Threat Hunting & Intelligence Conduct proactive threat hunting across the environment: develop hypotheses based on threat intelligence, search for indicators of compromise (IoCs), and investigate anomalous behaviour. Manage the Threat Intelligence function : track relevant threat actors, TTPs (MITRE ATT&CK), and sector-specific threat campaigns; integrate intelligence into SIEM/XDR detection rules and hunting queries. Produce threat intelligence summaries and briefings for the CISO and relevant stakeholders. Vulnerability Management Own the vulnerability management programme : schedule and execute periodic vulnerability scans across infrastructure, endpoints, and cloud environments. Analyse scan results, prioritise findings by risk and exploitability, and coordinate remediation with IT Operations within agreed SLAs. Track remediation progress, produce vulnerability metrics, and report status to the CISO. Validate remediation effectiveness through re-scanning and spot-checks. Identity & Access Management (IAM) Manage periodic access reviews : coordinate with system owners and HR to review and certify user permissions across critical systems, ensuring least privilege is maintained. Oversee the Privileged Access Management (PAM) programme: define PAM policies, monitor privileged account usage, and review access rights for administrator-level accounts. Investigate and respond to identity-related anomalies and access policy violations. What we are looking for: 3–5 years in a SOC analyst, incident response, or security operations role, with at least 1–2 years at L3 level is a plus. Experience implementing or managing IAM and PAM solutions Experience working within international or multinational environments. Hands-on experience with incident response engagements (internal or consulting) is strongly valued. Relevant certifications: GCIH, GCFE, GCFA, CEH, CompTIA CySA+ , or equivalent. OSCP is a plus. Strong hands-on experience with SIEM platforms (alert triage, rule writing, query development) and EDR/XDR tools . Solid knowledge of the MITRE ATT&CK framework and its application to threat hunting and incident response. Experience conducting vulnerability scans using tools such as Tenable Nessus, Qualys, Rapid7, or similar. Familiarity with IAM and PAM concepts and platforms (e.g. CyberArk, BeyondTrust, Azure PIM, or equivalent). Experience with digital forensics and incident response (DFIR) methodologies: evidence collection, log analysis, and timeline reconstruction. Knowledge of threat intelligence platforms and feeds (e.g. MISP, VirusTotal, threat intel feeds). Understanding of ISO 27001 incident management controls, NIS2 incident reporting obligations, and PCI DSS requirement 12.10 . Calm and decisive under pressure. Strong investigative mindset with structured problem-solving approach, excellent documentation skills. Ability to communicate incident status and findings clearly to both technical teams and executive stakeholders. Collaborative and proactive, comfortable working asynchronously across time zones. English : full professional proficiency (C1/C2) — primary working language. Spanish : professional proficiency is a plus. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 48,000 EUR. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.   #Aleph Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Remote, Canada; Remote, United Kingdom; 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. About the Role We are looking for a Distinguished Engineer to lead technical direction across GitLab's Core DevOps services, the systems the majority of our users touch every day. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company. Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers' own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them. GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering. What You'll Do Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives. Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go. Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org. Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it. Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it. Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it. Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group. Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines. Adopt the platform capabilities coming from GitLab's AI organization and the company's productivity initiatives into Core DevOps, feed this group's requirements back into them, and help prove what works on systems of this scale and maturity. Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome. Review significant designs and merge requests in the group's critical paths, and use review to teach rather than only to gate. Ensure designs hold across GitLab.com, GitLab Dedicated, and Self-Managed deployments, and respect multi-tenant, compliance, and data governance boundaries in each. Partner with Infrastructure, Security, and SRE so Core DevOps services are observable and debuggable, and so failure modes degrade gracefully instead of cascading. Make architectural constraints and opportunities clear to Product in roadmap terms, so that technical investment and product ambition get planned together instead of traded off late. Write clear, opinionated design documents, architecture narratives, and decision records that let teams across the group make aligned decisions independently. Grow Principal and Staff Engineers across Core DevOps, raise the bar on design rigor and technical writing, and contribute to the technical hiring bar for senior individual contributors. Participate in the Incident Management on-call rotation to help meet availability goals for GitLab.com, and complete Interview Training to participate in hiring as a technical interviewer or panel member. What You'll Bring 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role. Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale. Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions. Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience. Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems. Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority. Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills. 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 $250,000 — $349,000 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: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Cybersecurity is one of the areas where AI could do the most good — and one where the capability must be built with particular care. As a Research Engineer on this track, you'll push our models' capabilities in vulnerability discovery and remediation, security analysis, incident response, and across the offensive-to-defensive spectrum of cybersecurity, and it will be your job to develop that ability deliberately and safely. The work sits at the meeting point of research and engineering: you'll devise new approaches and be the one to implement them. Concretely, that means designing and building RL environments that reproduce realistic security scenarios, pipelines that generate synthetic training instances at scale, and experiments and evaluations that show what our models can actually do. Your results feed directly into the production training runs that shape our frontier models, in close collaboration with Mistral's researchers, engineers, and security specialists. Security specialists and ML engineers are both welcome here — what matters is that you can hold your own in both worlds, and are eager to go deeper on the one you know less. WHAT YOU WILL DO - Design and implement RL environments simulating cybersecurity scenarios. - Build the pipelines and infrastructure that generate synthetic cybersecurity training instances at scale — thousands of scenarios, not one hand-crafted exercise. - Conduct experiments and evaluations of model capabilities on these environments, from quick prototypes to controlled benchmark runs. - Own the infrastructure behind the environments: containers, sandboxes, VMs, cloud deployments, and orchestration (Kubernetes), all managed as code. - Partner with researchers and security specialists across Mistral, distilling their domain expertise into reproducible environments and datasets. - Write clear, efficient code in Python and enforce strong software-design practices: testing, code review, CI/CD. WHAT WE'RE LOOKING FOR - Hands-on expertise in offensive and/or defensive cybersecurity: vulnerability analysis, web/network/cloud security, secure coding practices, and SOC. - Strong software engineering skills: clean, reliable, well-tested code — not just exploit scripts. - Fluency in Python plus comfort reading lower-level languages (C/C++) for vulnerability analysis. - DevOps experience: Docker, Kubernetes, cloud deployments, sandboxed or simulated environments. - A pragmatic research-to-engineering mindset: ship a working first version, then refine and scale it. - Working knowledge of RL techniques and LLM training methodologies, or strong motivation to develop it. - Self-starter, low-ego, collaborative — comfortable working across research and engineering. NICE-TO-HAVES - CTF, cyber-range, or bug-bounty experience — as a player, challenge author, or platform builder. - A research background in cybersecurity, academic or industrial, or in another experimental discipline. - Prior experience building RL environments or large-scale ML training infrastructure. - Relevant open-source contributions and projects. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

What you'll do: Own the full sales cycle with new advertisers globally — from lead qualification to signed contract and first integration. Deliver quarterly and annual targets on revenue and number of onboarded advertisers. Build and defend commercial terms: commission rates, tech fees, minimum budgets, in line with margin goals. Maintain a transparent pipeline and reliable forecast for leadership. Partner with account management, publisher, legal and finance teams to launch client programs fast, and feed market and competitor insights to product. What we expect: 5+ years in B2B sales within affiliate/performance marketing, AdTech, or MarTech, with a proven track record of closing deals with international brands and e-commerce enterprise clients. Deep understanding of CPA/CPS models, attribution, and tracking — fully fluent in key metrics including ROAS, CAC, and incrementality. Proven full-cycle hunting experience, including self-generated pipelines, direct access to Head of Performance / CMO-level decision-makers, and managing long sales cycles. Fluent English (C1+) for high-level negotiations; a second language relevant to target regions is a strong plus. Disciplined approach to CRM management and accurate forecasting, with a readiness to travel and represent the company at key industry events. We offer: Work in the international company. Hybrid working format (office/home office). Corporate education — courses and trainings, meetups and conferences. Voluntary health insurance after probation period. We promote healthy lifestyle and encourage employees by special fitness reimbursement policy. Effective onboarding program for a better start. Corporate events and team buildings.

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a Product Sales Specialist to support our Team in Madrid! This is a role for someone who wants deep product expertise and a direct hand in commercial results. You'll be the customer-facing expert behind a global card issuing, working capital and embedded finance solution, the specialist Sales teams bring into the room to turn payments complexity into a clear customer story. You'll carry real product revenue targets and contribute directly to P&L performance alongside the Product Lead, working across two very different buyer worlds: Finance and Treasury stakeholders on spend management, T&E and corporate spend, and Media, Marketing and media buying stakeholders on advertising and campaign use cases, always in close partnership with Media Sales. What is AlephPay? AlephPay is the business card built for digital advertising and designed to become your primary card for all business spend. It combines flexible credit, reliable payments, spend control, and rewards in one solution, covering everything from media spend to everyday expenses, so your campaigns keep running without interruption. You can create dedicated virtual cards for clients, campaigns, teams, or other business needs while keeping full visibility and control over company spending. AlephPay also simplifies expense management and reconciliation, making it easier for finance teams to manage all business spend in one place. And because it's built around advertising, AlephPay rewards the way you already spend: eligible ad spend earns media rewards you can reinvest into your campaigns, while everyday business purchases unlock additional benefits that help your business grow. What You’ll Do Consultative Product Sales & Buyer Engagement Act as customer-facing SME for card issuing, commercial cards, embedded finance, FX, payments and working capital solutions Engage confidently with Finance and Treasury decision makers on spend management, T&E, corporate spend, liquidity, controls, reconciliation and working capital Engage with Media, Marketing and media buying stakeholders on advertising and media purchase use cases, alongside Media Sales Join Sales from discovery through proposal and closing, bringing specialist product and payments expertise Deliver product demonstrations, translating complex payment capabilities into clear customer value Support product questions, objections, solution design and commercial structuring, while preserving Sales ownership of the relationship Payments, Systems & Financial Process Expertise Understand end-to-end corporate payment flows and how card-based solutions interact with ERP, TMS, accounting and reconciliation processes Discuss integration and operational considerations with Finance/Treasury stakeholders (no technical implementation required) Understand FX, settlement, payment controls, card issuing, acquiring and e-commerce environments Translate customer financial and operational requirements into appropriate product configurations and partner solutions Revenue & P&L Contribution Own an individual/product portfolio revenue target aligned with the Product Lead's P&L Build and manage the product opportunity pipeline jointly with Media Sales Track pipeline conversion, expected card spend, activation, utilisation and product revenues Identify actions to close revenue gaps and accelerate adoption Support pricing and commercial structuring within frameworks set by the Product Lead Sales Enablement & Market Feedback Help build and continuously improve sales toolkits, demos, pitch materials, use cases, FAQs and competitive positioning Train and coach Media Sales teams to identify, qualify and position opportunities Capture structured customer/Sales feedback and feed market requirements into the Product Lead and roadmap Share successful use cases and commercial best practices across markets GTM & Launch Support Support new-market launches and GTM execution across Europe and, over time, Middle East and APAC Work with Product, Customer Success, Operations and external financial partners to ensure commercial readiness Support key customer onboarding and transition to Customer Success post-sale What You Need For This Role Experience in product sales, solution sales, sales engineering, payments consulting or a customer-facing product role within fintech/payments Strong experience in card issuing, commercial cards, FX, card acquiring, e-commerce payments, B2B payments and/or embedded finance Good understanding of corporate Finance and Treasury processes, including ERP/TMS environments, reconciliation and accounting flows Ability to engage credibly with both Finance/Treasury decision makers and Media/Marketing stakeholders Strong presentation and product demonstration skills, with the ability to simplify complex payment propositions Commercial mindset, comfortable working against revenue, pipeline and product P&L targets Ability to partner with Sales teams without displacing their ownership of the customer relationship Experience in digital media, advertising, adtech, e-commerce or media buying is highly desirable Fluent English; additional European languages are valuable What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 48,000. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Colombia; Brazil; Peru The Data Center Capacity & Inventory Manager owns a single, accurate, and always-current view of the organization's entire data center estate worldwide. The role exists because the biggest infrastructure decisions — where to place workloads, when to expand or consolidate, and how to plan a move — are only as reliable as the underlying data on power, cooling, racks, and space. That information is typically fragmented across sites, spreadsheets, and providers. This role consolidates it into one authoritative source of truth, keeps it current, and turns it into capacity forecasts, utilization reporting, and move/migration analysis the business depends on. It is accountable for the inventory and operational data of every facility the organization uses — owned, colocation, and edge. Scope & Context Global portfolio: every data center facility across all regions — company-owned and on-premises sites, colocation and wholesale space, and edge or remote equipment rooms. Physical assets: racks and cabinets; power (utility feeds, UPS, generators, PDUs, circuits); cooling (CRAC/CRAH, containment, chilled water); floor, cage, and suite space; structured cabling; and environmental monitoring. Data domains: inventory, capacity and utilization, contracts and commitments (colo agreements, power and space reservations), and a history of physical changes. Organizational placement: reports into infrastructure/IT leadership and partners with networking, cloud, security, procurement, and finance. Key stakeholders: site and facilities teams, colocation providers, infrastructure engineering, capacity planning, finance (cost allocation), and the business units requesting space or moves. Key Responsibilities Define and enforce how every site records and reports its power, cooling, rack, and space configuration, so data is comparable across the portfolio. Participate in the the space, power, and cooling analysis behind data center moves, migrations, and consolidations: what fits where, target-site readiness, and the sequencing of each move. Supply the accurate capacity and utilization data that drives resourcing and planning decisions Manage capacity risk proactively: identify sites approaching power, cooling, or space limits before they constrain the business. Uphold resilience, safety, and compliance standards across facilities, including redundancy targets (for example N+1) and disaster-recovery posture. Inventory, Data & Capacity Management (Core Mandate) This is the primary purpose of the role: a single, trusted, global source of truth for every data center, kept accurate and current. Maintain the global inventory and data for all facilities A complete register of every data center and equipment room, with location, provider, and contracted commitments. Space: floor area, cage and suite allocation, rack and cabinet counts, rack-unit (RU) inventory and occupancy, and remaining white space. Power: utility feeds and redundancy, UPS and generator capacity, PDU and circuit inventory, provisioned vs. actual draw (kW) per rack, row, and room, and PUE where measured. Cooling: cooling capacity and type, containment, redundancy (N, N+1), temperature and humidity envelopes, and thermal headroom. Racks & assets: rack elevations, cabinet layouts, and the physical assets each contains, mapped to their power and connectivity. Turn that data into decisions Track utilization and remaining headroom for space, power, and cooling at rack, row, room, and site level. Forecast capacity, flag sites approaching their limits, and recommend expansion, consolidation, or reallocation. Provide the analysis behind every move and migration — what a target site can support and how a move should be staged. Produce regular reporting and dashboards for leadership, finance, and planning. Own the tooling and data quality Define data standards, naming conventions, and an audit cadence that keep the inventory accurate. Run periodic physical audits and reconciliations against the recorded data. Requirements Proven experience managing data center infrastructure at multi-site or global scale, ideally across a mix of owned and colocation facilities. Deep, practical understanding of data center power, cooling, and physical space — circuits, PDUs, UPS and generators, redundancy concepts (N, N+1, 2N), cooling systems, and containment. A demonstrated track record of keeping accurate inventory and capacity data current across many sites. Experience planning and executing data center moves, migrations, consolidations, or build-outs. Colocation and vendor management experience — contracts, SLAs, capacity commitments, and cost control. Strong data and reporting skills: able to turn raw facility data into clear capacity forecasts and dashboards, with advanced spreadsheet skills and comfort using BI or reporting tools. Experience coordinating work across multiple regions, time zones, and stakeholder groups. Preferred Qualifications & Certifications Data center certifications such as Uptime Institute (ATD/ATS), BICSI DCDC, or EPI CDCP/CDCS/CDCE. Familiarity with specific DCIM platforms (for example Nlyte, Sunbird, Device42, or Hyperview). Knowledge of relevant standards — Uptime Institute Tier topology, ANSI/TIA-942, and ASHRAE thermal guidelines. Exposure to hybrid environments (on-premises, colocation, edge, and public cloud) and how physical capacity relates to workload placement. Awareness of data center sustainability and energy-efficiency practice, including PUE and power reporting. Benefits Full Remote Comfortable working on EST time zone Contractor Working equipment provided by the company Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. This recruitment process may use automated or artificial intelligence to screen or assess applicants. This job posting is for an existing vacancy.

Location: New York, NY Workplace: Hybrid ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE ROLE Compliance is an intentional product surface at Rain. Every card we issue, every wallet we open, and every dollar that moves across our rails depends on controls that are correct, auditable, and fast enough not to be felt. We are hiring a Senior Product Manager to own that surface end to end. You will own the compliance product area across four connected domains: financial crime (KYC/KYB, sanctions, transaction monitoring), licensing and regulatory readiness, card network and issuing-bank obligations, and the compliance tooling our enterprise partners use to run their own programs. As Rain continues to expand its product suite, you will ensure our compliance product serves our customers’ needs with these new products as well. You will work daily with Compliance, Legal, Risk, Engineering, and Partnerships, and you will be in the room with bank partners, network representatives, and our largest customers' compliance teams. This is an individual contributor role with real scope to grow. WHAT YOU'LL DO • Own the KYC and KYB onboarding experience for consumers and businesses in every market we operate in, tracking and optimizing metrics such as conversion, accuracy, and cost per verified user are all yours. • Build and tune sanctions screening, PEP and adverse media checks, and transaction monitoring, including blockchain analytics for wallet screening and source-of-funds signals. • Drive down false positives and analyst review time without weakening detection, and define the metrics that prove it. • Ship the case management, escalation, and SAR/STR workflows our compliance analysts live in every day. • Translate obligations - state money transmission licensing, EMI and MiCA in the EU, VASP regimes, stablecoin-issuer requirements, Travel Rule, and local equivalents - into requirements engineers can build against. • Partner with Legal and Compliance to make new-market launches a repeatable motion instead of a one-off scramble: jurisdictional configuration, disclosures, data residency, and reporting. • Run regulatory change management as a product process, so a rule change becomes a tracked roadmap item rather than a fire drill. • Own conformance with Visa and Mastercard rules across the programs we run and sponsor - BIN controls, MCC and merchant restrictions, program registration, and network reporting. • Build the controls, evidence, and attestation tooling our issuing banks and BIN sponsors require, and make audits boring. • Partner with Risk on disputes, chargebacks, fraud rules, and authorization-time controls where compliance and fraud overlap. • Turn internal compliance capability into products our partners can use: APIs, dashboards, configurable rule sets, audit logs, and reporting they can hand to their own regulators. • Serve as the product voice in partner compliance diligence, security reviews, and bank onboarding - and feed what you learn there back into the roadmap. • Define how much control a partner gets and where Rain holds the line, clearly enough that sales can sell it and engineers can build it. • Write the strategy and roadmap for compliance product, and defend the sequencing to the exec team. • Specify precisely. In this domain, an ambiguous requirement is a regulatory finding waiting to happen. • Instrument everything - pass rates, decision latency, alert volume, review throughput, escalation outcomes - and use it to make the case for what comes next. You’ll likely succeed if you have • 8+ years in product management, including at least three years owning compliance, risk, identity, or payments products in a regulated environment. • Working fluency in AML/CFT: you can hold your own on KYC and KYB standards, sanctions screening logic, monitoring typologies, and SAR workflows without needing a translator. • Direct experience with card issuing, payments infrastructure, or banking-as-a-service - you understand what an issuing bank, a BIN sponsor, and a network each expect from a program. • A track record of shipping systems where correctness matters more than a fast demo, and the technical depth to design data models and APIs with engineers rather than around them. • Comfort with genuine ambiguity. The regulatory picture for stablecoins is still being written, and you will often decide with incomplete information. • Clear, precise writing. Most of your leverage here comes from documents other people can act on. Bonus Attributes • Experience with stablecoins, digital assets, or onchain settlement, including blockchain analytics tools. • Multi-jurisdiction launch experience across LATAM, APAC, EU, or EMEA. • Time spent inside a compliance, financial crime, or regulatory function — or a hands-on partnership with one. • Familiarity with SOC 2, PCI DSS, or similar control and audit frameworks. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager. You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter. This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit. Key responsibilities Partner Marketing Strategy & Execution Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards Spot RSIs gaining traction and help them grow into higher tiers Content, Proof & Enablement Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners Program Management & Measurement Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation Represent Anthropic at partner events, executive briefings, and industry conferences as needed Feed what works back into playbooks the scaled programs team can run across the wider partner network Minimum qualifications Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control Can own a partner portfolio end to end within a team strategy, and know when to escalate Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Experience in the AI/ML industry or working with AI-powered products Established relationships within the GSI, consulting or regional SI ecosystem Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing Experience with tiered partner programs, including benefits and promotion reviews Experience producing partner-led customer stories with enterprise customers Understanding of enterprise AI use cases across different industries and functions Experience with CRM systems (such as Salesforce) and partner relationship management tools Used Claude or other AI tools to scale their own marketing work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed 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 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; Spain; Netherlands; Poland Workplace: remote Head of Editorial   About the Role Finom is looking for a Head of Editorial to own the words across the Finom experience. We'll be direct with you, because we'd rather you hear it from us than discover it in the first week: our copy isn't good enough yet. It’s inconsistent, it's longer than it needs to be, it doesn't sound enough like us (which we’re still working out), it doesn't convert as well as we’d like, and errors make it through to publication. That's the job. You'll own the voice, the style guide and the editorial review layer that makes top notch words systematic rather than accidental. You'll lead our copywriting team, develop them, and help them realise their potential. You'll do this by showing as well as telling: you'll show us what amazing looks like. And you'll set Finom's editorial AI strategy, deciding where generation, drafting and checking genuinely help, and where they don't belong at all. You will own the English (not localisation, but you'll work closely with the people who do, because English is the source language), which means your standard becomes the ceiling for every market we operate in. Tighten the English and every language gets better. This is a role for an exceptional editor. Not only a writer, though you'll need to be a strong one. The core of this job is taking someone else's draft and making it materially better, quickly, because you've established a strong standard that brings results. If you find that more satisfying than seeing your own byline, you'll enjoy this job a lot. What You'll Be Doing •  Owning the words across the Finom experience: the standard, the voice and the final read •  Building and owning the style guide, and driving its adoption well beyond the Editorial team •  Establishing the editorial review layer: who reads what before it ships, against what criteria, and how nothing goes out with errors in it •  Leading and developing the copywriting team, giving direct and useful feedback, and hiring as the function grows •  Owning Finom's editorial AI strategy: where generation, drafting and checking are used, where they aren't, and what quality gates they have to pass •  Writing personally on key projects, campaigns and launches •  Coordinating across lifecycle, web, paid and social so that Finom's language is consistent everywhere a customer meets us •  Partnering with Product to make sure brand voice holds inside the product, not just in marketing •  Working closely with localisation partners so English source quality lifts every market •  Making copy work commercially: tightening, sharpening and testing so that writing converts rather than merely describes •  Building the intake and prioritisation model that lets a small team serve rising demand without the standard slipping What Success Looks Like In your first 30 days: you've read everything, you know where the worst copy is and why, you've properly assessed the team you've inherited, and you understand where demand actually comes from. You have a diagnosis, not yet a plan. By 45 days: a first version of the style guide is in use, an editorial review layer is running, and errors have stopped reaching publication. By 60 days: intake and prioritisation are agreed with the teams generating demand, the voice is documented and being adopted outside Editorial, and your first AI-assisted workflows are live with quality gates that hold. By 6 months: Finom sounds like one company everywhere. Copy is tighter and converting better, with evidence. The writers on your team are visibly better than when you arrived. Editorial runs as a function rather than a queue. Who You Are •  An outstanding and fast editor. You improve other people's writing without taking it over. You do it under deadline, without agonising •  A precise writer. Your English is exceptional. You cut rather than decorate •  Direct about quality. You can tell someone their draft isn't working, explain exactly why, and leave them wanting to fix it •  A brilliant documentor. You've created style guides, review processes or editorial standards where none existed •  Commercially literate. You treat copy as a lever, not only as craft, and you can point to writing that moved a number •  Genuinely cross-functional. You get good work shipped through other teams' processes, not just your own •  Comfortable with ambiguity. There's no style guide, no review process and no documented voice yet. You find that energising Must-Haves •  Evidence that you can lead the editorial standard, whether through direct people management, mentoring other writers, or operating as a senior individual contributor with strong stakeholder influence. Experience managing and developing writers is highly valued. •  Experience producing high-volume marketing and conversion copy in a fast-moving tech or digital environment. In-house experience is preferred, but strong agency backgrounds are equally relevant where you’ve worked at pace across multiple channels. •  English at native level. Exceptional command of written English, since your work sets the quality ceiling for every localised market •  Demonstrable AI fluency in an editorial context. Not tool familiarity: evidence that you've set policy in practice, defined where AI isn't used, built the checking layer, and held quality as volume rose •  A track record of building editorial standards, style guides or review processes from scratch •  Experience developing writers who measurably improved •  Ability to work across marketing and product surfaces •  Based in an eligible EU location, the UK or Ireland We're deliberately open on background. Editorial and journalism, brand and advertising copywriting, and B2B content marketing are all valid routes into this role. We care about the work and the judgement, not the job titles. Nice-to-Haves •  Fintech, financial services or another regulated industry where precision genuinely matters •  Experience owning voice across both marketing and in-product copy •  Experience running a source-language function feeding multi-market localisation •  Experience building or managing a freelance writer network Why Finom Finom is building the financial platform European entrepreneurs actually want to use, in a category where almost every brand looks and sounds the same. Our customers rate us 4.8 on Trustpilot, higher than any other B2B banking player in Europe, so the product is genuinely good; the job in Brand is to make sure the way Finom reads and sounds matches it. That means an editorial function you get to build rather than inherit, an editorial AI strategy designed from a clean sheet at a moment when very few companies have worked this out properly, and real appetite at senior level for quality as a way to win rather than a cost line. If you've spent time somewhere the writing was tolerated rather than cared about, this will feel different. Compensation & Benefits This role sits at Job Level 6, which includes equity options under Finom's Incentive Plan, eligibility for the High Performance Bonus Plan, and a salary positioned within Finom's range for your location, level and job family, benchmarked to the 50th–75th market percentile. Our Process A 30-minute screen, a conversation with the VP of Brand, a three-hour editorial task with a follow-up discussion, a short cross-functional panel, a conversation with the writers you'd be leading, and a final interview with our CMO. We aim to move quickly and we'll tell you where you stand at every stage. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: UNITED STATES - Remote, LATAM - Remote, EMEA - Remote Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role. Money is moving onto the internet, and the shift has a name: Open Money. This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own.  Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day. About the role This role runs the internal posture engine — the risk register, critical control monitoring, evidence, audit operations and GRC tooling. It keeps risk state current so the Lead and the Risk Committee decide from accurate data in the Risk Dashboard and reporting. Drata is the register of record. Named owners close gaps; this role keeps the register, evidence and audit operations current. Responsibilities Planning Operate the risk register from the Security Programme threat model: populate, track treatment, record acceptance decisions, follow up owners, and run the exceptions register. Keep the ISMS and security policy library current as part of audit readiness. Draft security standards when commissioned by the Lead. Run Drata as the control and evidence system — Statement of Applicability, framework crosswalk and automation. Execution Run critical control monitoring: health check-ins, drift flags and Drata automation. Route drift to the SOC. Maintain the evidence file for Lead assessments and independent internal audit. Feed threat-assessment findings into the register and confidence ratings. Track which required assessments are current. Lead audit coordination and preparation: ISO 27001 and SOC 2 logistics, ISMS readiness, team prep, management-review pack, and customer due-diligence questionnaires. Coordinate the control register for external testing (red team, tabletop, pentest). Run security awareness and weekly alerts. Tracking and evaluating performance Track residual risk, exceptions and gap-closure against appetite. Exceptions expire and are reported; the underlying requirement stays in force. Report register state and evidence health so the Lead and Risk Committee work from one view. Achieving overall defined performance Be accountable for a current, defensible posture engine — register, evidence and audit operations. Ensure Drata collects evidence continuously, with automated evidence where coverage exists. Qualifications Hands-on experience running a risk register, control library and audit cycle (ISO 27001 and/or SOC 2). Comfortable with GRC platforms (Drata or equivalent) and turning monitoring into evidence. Proven ability to coordinate audits and customer questionnaires with named control owners. Precise written work; register and Statement of Applicability quality matters. Strong stakeholder management with control owners and auditors. CISA, ISO 27001 Lead Implementer or Auditor, or equivalent professional certification. Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role . The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range. US pay range (not including bonus, equity or other benefits) $150,000 — $206,000 USD In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3. MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page. MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI. It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.