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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is available to enterprises through Microsoft Foundry, and the Microsoft partnership has become one of our most important paths to market. Many of the largest enterprises in financial services, healthcare and life sciences, and the public sector buy Microsoft first, and we want Claude to be the obvious choice when they do. As Partner Manager for Microsoft Co-Sell, you will turn that partnership into pipeline and closed revenue. You will build and run joint sales plays with Microsoft's field organization, connect Anthropic account executives with their Microsoft counterparts on shared target accounts, and make sure deals that start in a co-sell conversation actually close through Azure Marketplace. You will own your work end to end, from the details of a single stuck deal to the executive readout on how the partnership is performing. Key responsibilities Own the co-sell engine day to day: design joint sales plays with Microsoft around the strongest enterprise use cases, run account mapping with Microsoft sellers, and turn introductions into working groups and joint opportunities that show up as pipeline Keep deals moving through Azure Marketplace, including private offers, billing setup, and partner attribution; track every opportunity through that process, know where it is stuck and who needs to act, and work with both sides until it closes Run the regular pipeline and escalation rhythm with Microsoft Give Anthropic and Microsoft leaders a clear view of what is working and what is blocked Bring field insight back to our product and go-to-market teams Own at least one major joint initiative with Microsoft, such as a flagship event, a product workstream, or deal operations Minimum qualifications Experience owning a revenue or pipeline number through a partner or co-sell motion, with results you can point to Working knowledge of how enterprise deals transact through a cloud marketplace, including hands-on experience unblocking stuck deals Strong attention to detail and operational rigor, with the ability to turn that detail into a clear, concise story for executives A record of taking full ownership of your work: closing loops and keeping stakeholders informed proactively Ability to keep a stalled deal or program moving through repeated blockers until it is resolved Ability to build trust across a large, matrixed partner organization, with field sellers and their leaders alike Preferred qualifications Experience selling or partnering around AI, ML, or developer platform products Direct experience with Microsoft's partner ecosystem, such as Partner Center, Azure Marketplace, and the co-sell program Experience selling into financial services, healthcare and life sciences, or the public sector 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: $215,000 — $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.

Задачи: — Написание высокоэффективных рекламных текстов для платных социальных платформ, включая Meta и LinkedIn, для брендов Xometry и Thomas. — Разработка заголовков, подписей, призывов к действию и вариантов текста для A/B тестирования. — Перевод сложных инженерных и производственных концепций в ясные и привлекательные сообщения для инженеров, специалистов по закупкам и руководителей производства. — Сотрудничество с дизайнерами, медиабаерами, командой бренда, а также с командами продукта, контента и маркетинга для согласования копирайта с визуальными материалами и общей стратегией кампаний. — Поддержание единообразия голоса и тона бренда во всех социальных каналах и форматах. — Быстрая итерация текста на основе данных о производительности и результатов тестирования. — Внедрение подхода, основанного на данных, для разработки, тестирования и оптимизации текстов. — Вклад в создание фреймворков сообщений, шаблонов и файлов для масштабируемого производства контента. — Создание и использование Claude Skills или аналогичных пользовательских AI-воркфлоу для ускорения производства, тестирования и контроля качества текстов. — Разработка повторно используемых AI-воркфлоу для повышения эффективности и согласованности творческого производства. — Отслеживание тенденций социальных платформ, форматов рекламы, возможностей AI и новых лучших практик. Требования: — Опыт не менее 4 лет в написании ориентированных на результат текстов для платных и/или органических социальных медиа. — Сильное портфолио с высококачественными рекламными текстами и способностью создавать ясные и убедительные сообщения из сложных концепций. — Отличное владение английской грамматикой, редактированием и навыками коммуникации для B2B аудитории. — Умение упрощать технические, инженерные или сложные производственные концепции для социальных сообщений. — Знание основных социальных платформ, форматов рекламы и творческих спецификаций. — Понимание A/B тестирования и метрик эффективности платной рекламы, таких как CTR, CPA, ROAS, а также смежных метрик CVR и open rate. — Опыт работы с AI-инструментами и способность создавать Claude Skills или аналогичные AI-воркфлоу для масштабирования производства текстов. — Навыки управления проектами, организации и приоритизации с возможностью вести несколько творческих проектов и соблюдать сроки. — Сильные навыки межфункционального общения и сотрудничества с дизайнерами, медиабаерами, маркетологами, продуктовыми командами и другими заинтересованными сторонами. — Способность брать на себя ответственность от творческого брифа до опубликованной рекламы и итераций по производительности. Преимущества: — Опыт в B2B, технологиях или маркетинге производства, особенно в секторах производства, инженерии или промышленности. — Опыт внедрения нескольких Claude Skills или AI-воркфлоу в активный производственный или творческий процесс. Условия: — Удалённая работа. Xometry является работодателем, предоставляющим равные возможности. Все кандидаты рассматриваются без учёта расы, цвета кожи, религии, пола, сексуальной ориентации, гендерной идентичности, национального происхождения, статуса ветерана или инвалидности.

Location: Belgrade, Serbia; Prague, Czechia; Warsaw, Poland; Bratislava, Slovakia; Budapest, Hungary The Feasibility Manager (FM) produces and oversees recommendations for country and site selection strategies, as well as enrolment projections and subject recruitment strategies within the Global Study Start-Up and Site Intelligence department. This position assures the integrity and proper interpretation of used data sources and the resulting strategy provided in feasibility proposals and reports. The FM supports Business Development (BD) and the Allucent Centers of Expertise (ACEs) . The ACEs are designed, structured, and resourced to deliver comprehensive trial and regulatory strategy; effective patient-focused recruitment plans; and solutions that meet specific needs. The Global Feasibility Manager will play a key role in supporting our ACE heads in winning new business by understanding protocol’s expectations, the mechanism of action of the drug and analysing data to provide strategic feasibility recommendations. This position reports to the GSSU, Site & Patient Engagement department. Key Responsibilities: Provide input to proposals and business development to help build project assumptions, budget, and timelines (including overall recommendations on the countries, number of sites and projected number of patients). Identify and present regions where the disease is prominent to create an initial country pool to be further refined based on corporate experience, operational capabilities, medical input, and other feasibility considerations Identify the incidence and prevalence of the disease / syndrome Analyze competing clinical trial landscape in order to assess study feasibility and identify barriers for enrollment. Access open source and proprietary databases to determine similar patient populations and or therapeutic classes of drugs under investigation. Determine whether the countries proposed have comparator drug access/reimbursement. As appropriate, prepare tabular displays of this information for evaluation by the feasibility stakeholder pool. Represent Allucent’s global or regional expertise by presenting our study footprint in the indication, which may include compiling corporate experience, and expertise in specific indication when needed. Present and explain feasibility analysis to BD/Clients (e.g. during bid defense meetings), including the process, recommendations and rationale. Maintain internal libraries and databases related to feasibility Assure the Feasibility function interfaces effectively with the ACEs and Business Development teams within Allucent Maintain current knowledge of guidelines and technologies appropriate for functioning in this capacity. Requirements Bachelor's Degree in a life sciences field is required. Masters Degree or Ph.D. in Healthcare or Biological Science is preferred. Minimum of 5 years of experience in drug development and/or clinical research; or equivalent combination of education, training, and experience. Demonstrable experience with analytics involving large datasets. Previous experience in pre-award feasibility may be a plus. Some travel for BD meetings attendance (15-20%) may be required. Skills Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Demonstrated knowledge of government/international databases, open-source databases or more proprietary databases (e.g., PubMed/Medline, ClinicalTrials.gov, Citeline) Ability to interpret data sources and translate information in clear and usable recommendations Demonstrated ability to form strong working relationships with other groups within the organization essential to high-level performance in this position Ability to work in a fast-paced challenging environment of a growing company Administrative excellence Proficiency with various computer applications such as Word, Excel, and PowerPoint required You are curious, like using systems, science-centric, and wish to consider a career change ? You have a strategic mindset and you are great at managing your time ? This opportunity may be the perfect fit for you. The successful candidate will receive the necessary trainings to grow in this role. Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Spain; Germany; United Kingdom; Italy; France; Portugal About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Job Summary We are seeking a commercially-minded Performance Ads Manager to drive high-quality lead generation and growth for our clients. In this role, you will be directly responsible for the success of client "open days," ensuring events are fully booked while maintaining efficient acquisition costs. You won't just be pushing buttons in an ad manager; you will act as a strategic partner, constantly analyzing local competition, testing creative boundaries, and optimizing the entire funnel from click to conversion. This is an opportunity for a proactive professional to join a tight-knit team where ownership is valued and your impact is visible every day. Key Responsibilities Manage and scale paid social campaigns to ensure client open days are consistently at full capacity. Maintain and optimize CPL (Cost Per Lead) within agreed-upon target ranges. Monitor and improve the Lead-to-Booking rate through constant funnel analysis. Conduct ongoing competitive research to ensure our clients remain leaders in their local markets. Develop and test new creative concepts in collaboration with content creators. Continuously evolve and A/B test landing pages to maximize conversion performance. Provide detailed monthly reporting, documenting all meaningful optimizations and strategic shifts. Utilize Anytrack for server-side tracking to ensure data accuracy and attribution. Requirements Business Maturity: A high level of professional ownership, clear communication, and the accountability to learn from mistakes and pivot quickly. Creative Strategy: Proven experience developing creative strategies and directing content creators to produce high-performing assets. Agency Experience: A solid understanding of the agency ecosystem and the ability to thrive within a small, collaborative team. Performance Mindset: Deep technical knowledge of paid media platforms and a track record of hitting specific conversion targets. Timezone: Ability to work standard UK business hours. Technical Versatility: A broader understanding of digital marketing to support a small, agile team across various functions. Platform Knowledge: Proficiency with GoHighLevel (CRM) and Basecamp (Project Management). AI & Automation: Experience implementing AI tools intelligently and building automations to increase efficiency. Benefits 🌎 Fully remote work environment 🚀Career growth opportunities within a growing agency 📈 Long-term stability and a supportive team culture 🛠️ Access to modern tracking and automation tools

Location: San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring a strategist to join the Policy Campaigns team within Anthropic's Public Policy team. The Policy Campaigns team turns the company's policy priorities into active campaigns: research and polling, messaging, coalitions, paid media, and external execution. We're hiring a strategist to develop and execute paid media campaign strategy, manage agencies, and measure the success of our advocacy campaigns in the US and in priority markets abroad. This is a strategy and program management role. You'll decide what a campaign needs to accomplish, who needs to hear from us, which messages and tactics will move them, and then implement accordingly. Anthropic works on many policy issues at once, across many markets, and you'll need to understand the full set of issues and find the right cross-cutting approaches to advance our goals. You'll direct the agencies that produce and place the work, and bring Policy, Communications, Marketing, Public Affairs, and Legal to agreement on tight legislative timelines. The role also carries a substantial project management load. You'll run several campaigns at once, across time zones and agencies, and keep each one on schedule and on budget. You'll report to the Head of Policy Campaigns. Key responsibilities Design paid and digital campaign strategies for legislative and policy goals, including objectives, audiences, messaging, tactics, phasing, and budget Develop campaign messaging and tactics with the Campaigns team, executives, Public Affairs, and Communications, and make sure paid media carries the core message Spot where a campaign could conflict with Anthropic's other policy, commercial, or international priorities, and resolve those tensions before launch Direct creative and media-buying agencies: set strategy and briefs, scopes and budgets, hold timelines, and hold the work to a high standard Run several campaigns at once across time zones and agencies: own the timelines, workplans, budgets, and status reporting, and keep partners in the US and abroad aligned Build rapid response capabilities with Policy, Marketing, Legal, and Communications so campaigns can respond quickly in changing environments Set success measures before launch, report results plainly, and adjust strategy based on what works Work cross-functionally to find the stories and moments that make policy arguments concrete for policymakers and opinion formers Minimum qualifications Experience running digital content and paid media for a corporate affairs team, political campaign, advocacy organization, public affairs firm, or issue campaign, including owning a media budget Experience managing creative and media-buying agencies, including briefs, scopes, budgets, and performance reviews Experience running campaigns aimed at policymakers, key opinion formers, or other influential audiences Experience managing several campaigns or projects at once, with multiple agencies and stakeholders in different time zones Experience building campaign reporting in spreadsheets or dashboards Preferred qualifications Experience managing state or federal legislative campaigns Experience running campaigns inside a large organization or coalition with competing priorities Working knowledge of AI safety and technology policy issues Experience running campaigns in markets outside the US Hands-on familiarity with ad platforms and targeting, such as Meta, LinkedIn, and programmatic buying 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: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager to own the Vercel Dashboard, the control plane for every Vercel user, defining how developers and teams interact with Vercel from first login through daily use, across both individual accounts and enterprise organizations. You will lead the shift from what is a project listing page today to a personalized, agent-powered surface that proactively helps users ship and discover value. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you'll do Own the product vision, strategy, and roadmap for the Vercel Dashboard, the primary surface through which all Vercel customers interact with the platform Define how agents operate within the Dashboard, from surfacing errors and suggesting fixes to updating code and config on behalf of users Shift the Dashboard from a passive "pull" experience to a proactive "push" experience, surfacing insights, notifications, and recommended actions Define the information architecture and design patterns that product area teams build within, and partner with those teams (Billing, CI/CD, Observability) to keep their experiences consistent and high-quality within the Dashboard shell Collaborate with Engineering to hold an uncompromising performance bar. The Dashboard must be the fastest, most delightful surface at Vercel Run experiments and measure onboarding funnel performance, feature adoption, and engagement across user segments What you need You've built and shipped developer-facing products You have experience with control planes, dashboards, or console products at infrastructure, cloud, or developer tools companies You have strong opinions on information architecture and how to organize complex products so they feel simple You think about the product from both a human and an agent perspective. You use AI tools in your own workflow and have a point of view on how agents should interact with product surfaces You have experience running experiments and working with product analytics to drive roadmap decisions Bonus if you Have worked on platform or horizontal product teams where you set patterns that other teams adopt Have an engineering background or have built software yourself Have worked on onboarding, activation, or growth loops in a product-led growth context Have experience with personalization frameworks or systems that adapt to user segments and lifecycle stages Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - US About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths. In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale. This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work. Responsibilities: Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support. Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery. Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition. Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. Build leverage through software, automation, and paved paths that help product engineering teams use infrastructure safely and independently. Support migrations by providing guidance, patterns, and enablement while maintaining clear ownership boundaries with partner teams. Establish team norms for effective AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. Partner with Service Frameworks, Core Platform, Revenue Platform, Data Platform, and product engineering teams on shared infrastructure priorities and cross-team dependencies. Communicate roadmaps, operational risks, investment needs, and progress clearly to engineering leadership and cross-functional stakeholders. Participate in hiring and team planning as the organization grows. Qualifications: 2+ years of experience managing an infrastructure, platform engineering, or site reliability engineering team at a product company, including people management of an on-call team. Demonstrated ownership of incident response, on-call health, and service-level objective frameworks for critical production systems. Experience leading at least one multi-quarter infrastructure migration or insourcing program from planning through completion. Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices, with the judgment to guide discussions and tradeoffs with senior engineers. Experience taking over an established team and maintaining engagement, performance, and retention through a leadership transition. A clear point of view on team norms and practices for AI-assisted engineering. Strong written and verbal communication skills, with the ability to explain technical and operational priorities to a range of audiences. A thoughtful, calm, and accountable leadership approach, particularly during incidents and periods of change. Nice to Haves Experience with vendor negotiations or cloud cost management. Experience supporting FedRAMP or other compliance-related infrastructure and operations. Experience operating large-scale datastores or OLAP systems. Experience growing a team through funded expansion. Pay: Target pay ranges based on Geographic Zones* for Level M2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: India About the Job: As a Senior Revenue Accountant at LaunchDarkly, you will play a critical role in ensuring that revenue is recognized accurately and in accordance with US GAAP and ASC 606, while leaning heavily into AI-driven automation to enhance process efficiency and scalability. You will own revenue-related tasks for month end close procedures and partner closely with cross functional teams (like Sales, Deal Desk, Legal) to review customer contracts and non-standard terms. You will also assist with external audits, preparing ad hoc analyses, and be a key point of contact for all revenue recognition activities. This role is ideal for a revenue accounting professional who enjoys working in a fast-paced environment where you can have a direct impact. Responsibilities: Support the monthly revenue close process, including preparation of revenue-related journal entries, reconciliations, and supporting schedules, to ensure timely and accurate revenue recognition Perform ASC 606 contract reviews for new and existing customer arrangements and document appropriate revenue recognition conclusions Evaluate complex or non-standard contract terms, including usage-based pricing, committed spend, minimum commitments, credits, discounts, contract modifications, renewals, and other commercial arrangements Maintain and reconcile revenue schedules across revenue, accounts receivable, deferred revenue, unbilled receivables, and customer credits Develop and maintain revenue accounting workbooks, rollforwards, and supporting documentation that provide clear audit trails from customer contracts and usage data through the general ledger Partner with Sales, Legal, Deal Desk, and Finance on new products, pricing models, contract structures, and commercial terms to identify potential accounting implications Support the accounting assessment and operationalization of new products and SKUs, including determining appropriate revenue recognition treatment, sales tax treatment, and ensuring required accounting data is captured Support external audits by preparing revenue schedules, contract samples, reconciliations, and responses to auditor inquiries Identify opportunities to improve and automate revenue accounting processes, controls, reconciliations, and reporting Partner with system administrators and cross-functional teams to improve the integration and data flow among CRM, billing, usage, and ERP systems Support development of scalable revenue accounting policies and procedures as the company and its product offerings evolve Qualifications: Bachelor's degree in Accounting, Finance, or a related field 8+ years of relevant accounting experience, including meaningful experience with SaaS revenue recognition CPA or equivalent is a must Experience in public accounting is a must. Big 4 preferred. Strong working knowledge of US GAAP and ASC 606 and experience evaluating customer contracts and revenue arrangements. Experience with SaaS, cloud infrastructure, AI, technology, or other consumption-based business models strongly preferred Experience working with large datasets and reconciling information across multiple systems Experience with NetSuite, Salesforce or another major ERP and CRM systems preferred Advanced Excel/Google Sheets skills Strong analytical and problem-solving skills with exceptional attention to detail Ability to operate effectively in a fast-paced environment where products, systems, and processes continue to evolve Strong communication skills and ability to translate technical accounting requirements into practical guidance for non-accounting stakeholders About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: India About the Job: As a Senior Sales Engineer , you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Indian market. You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes. You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices. Responsibilities: Partner with Sales to Win Enterprise Deals Work closely with Account Executives to qualify opportunities and develop technical account strategies. Help customers understand how feature management and progressive delivery can transform software delivery. Participate in complex enterprise sales cycles and help secure technical wins. Lead Technical Discovery and Solution Design Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges. Design solutions that demonstrate how LaunchDarkly integrates into modern development environments. Align technical solutions with customer business objectives. Deliver High-Impact Demos and Proof of Value Conduct compelling product demonstrations that highlight real customer value. Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials. Guide customers through the evaluation process and ensure successful outcomes. Build Champions and Trusted Relationships Develop strong relationships with both technical and business stakeholders. Enable customer champions who can advocate for LaunchDarkly internally. Support customers throughout the evaluation process and beyond. Be a Technical Thought Leader Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven development, and modern software architecture. Confidently communicate technical and business value to a range of audiences from developers to executives. Collaborate Across Teams Partner with Sales, Customer Success, Product, and Engineering to ensure successful customer outcomes. Provide feedback from the field to help shape the product roadmap. About You: Customer-Focused You enjoy helping engineering teams solve complex problems and improve how they build and deliver software. Strong Communicator You can clearly articulate technical concepts and connect them to business outcomes. Entrepreneurial Mindset You are proactive, take ownership, and thrive in fast-moving environments. LaunchDarkly Values You embody the qualities of being humble, hungry, smart, and energetic, collaborating effectively with both customers and internal teams. Qualifications: 5+ years of experience in Sales Engineering, Solutions Engineering, or Technical Pre-Sales in enterprise SaaS. Experience working with enterprise development teams and technical stakeholders. Strong understanding of modern software development practices , including: CI/CD DevOps Infrastructure as code Feature flags and progressive delivery Proven ability to run technical demos, workshops, and proof-of-concept engagements . Excellent communication and presentation skills. Experience supporting complex enterprise sales cycles. (Preferred) Background in software engineering, DevOps, SRE, or platform engineering . (Preferred) Experience with cloud platforms such as AWS, Azure, or GCP . (Preferred) Familiarity with Kubernetes and microservices architectures . (Preferred) Programming experience in languages such as Java, Python, Go, Node.js, or .NET . (Preferred) Experience supporting enterprise deals in large organizations (F500 / G2000) . About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

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 AI agents are already booking travel, subscribing to software, running procurement end to end, and moving money on behalf of users — much of it through Rain. Our Agent Control Layer is the governing surface for that activity: it enforces approved counterparties, amounts, merchants, and task scope at initiation, before a transaction ever occurs, rather than reconciling damage after the fact. We are hiring a Senior Product Manager to own that platform. This is a 0-to-1 role inside a category being defined in real time. You will own the developer-facing surface — APIs, SDKs, controls, docs — that teams building agents use to give them spending power safely. McKinsey projects $3–$5 trillion in global agentic commerce by 2030. The primitives that make it trustworthy have not been built yet. You will build them. You will report to the Head of Product and work daily with engineering, risk and compliance, network partnerships, and the developers shipping on us. What you'll do • Define the primitives for agent authority: spend scopes, merchant and counterparty allowlists, velocity and amount ceilings, task-bound credentials, human-in-the-loop approvals, and clean revocation. • Own scoped virtual cards for agents — cards provisioned for a single merchant, amount, and task, retired the moment the task completes. • Extend the rest of Rain's stack (wallets, virtual accounts, onramps, offramps, cross-border payments) to agent initiators within the parameters our customers define. • Treat the API as the product. Own endpoint design, error semantics, idempotency, webhooks, sandbox and simulation tooling, SDKs, and reference agents. • Own documentation and the onboarding path with the same rigor as the product itself. Time-to-first-authorized-agent-transaction is your metric. • Run a tight design-partner loop with agent builders — read their integration code, sit in their debugging sessions, ship against what you find. • Build the roadmap from first principles: form a thesis on where agentic commerce goes next, sequence bets accordingly, and kill what isn't working quickly. • Partner with risk and compliance on Know Your Agent — agent identity, attestation, delegated authority, auditability, and dispute handling in a world where the cardholder wasn't the one who clicked. • Represent Rain's technical point of view in Agentic Payments Alliance working groups and with Visa, Mastercard, and stablecoin partners as standards take shape. • Write the specs, launch posts, and positioning that teach the market what controlled agentic payments actually means. You’ll likely succeed if you have • 8+ years in product management, with meaningful time on a developer-facing platform, API, or infrastructure product. You have shipped something engineers chose to build on. • Technical depth. You read API diffs, write your own queries, prototype against your own endpoints, and hold your own in an architecture review. You don't need to have been an engineer; you do need engineers to take you seriously. • 0-to-1 instincts. You have taken a product from a blank page to real usage in an ambiguous market, and you're comfortable with a roadmap that changes because the ground moved. • Payments or fintech fluency, or the obvious appetite to acquire it fast. Authorization flows, issuing, interchange, chargebacks, settlement, KYC/KYB - you know these, or you'll learn them in weeks rather than quarters. • Judgment under risk. Every control you design trades capability against loss. You can reason about that tradeoff explicitly and defend where you landed. • Strong writing. At Rain, specs, docs, and launch narratives are the job, not overhead. • Bias for motion. You would rather ship a narrow thing this month and learn from it than scope a broad thing for two quarters. Bonus attributes • Hands-on experience building or deploying AI agents - tool use, orchestration frameworks, MCP, evals. • Stablecoin or onchain payments background: settlement, custody, treasury operations, or wallet infrastructure. • Experience working directly with card networks, issuing processors, or sponsor banks. • Time at an early-stage company during a period of fast scaling. 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: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canadian EST time zones only. Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 164,490 -  CAD 197,389 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the USA EST time zones only . Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 -  USD 185,334 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Halifax Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within Eastern Canada. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You’ll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it.   As an Account Executive you will: - Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also bringing a strong network of key decision-maker and influencer contacts to drive strategic partnerships and win sales opportunities - Work closely with customers and prospects as a consultative, trusted advisor who deeply understands their challenges and goals, their technology ecosystem, and will tailor solutions to drive measurable impact for their businesses - Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region - Collaborate with product and engineering teams as well as customer success on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives to drive top of funnel activity - Own the full sales cycle – from initial outreach through proof-of-concept, deal close, and deployment ; this is not a transactional sale that you can walk away from after the contract is signed but rather requires ongoing oversight of the project to ensure success You may be a good fit if you have: - 8-12+ years of previous B2B sales experience with Global 2000 and large enterprises negotiating and closing transformational multi-year (2-5 year) SaaS deals in the 7 figure range, and a track record of high performance and exceeding quota - Previous experience as a technical consultative salesperson, selling complex products, such as developer tools, API products, or AI / NLP solutions, are a plus. - Previous experience working with customers during the deployment phase of the engagement, aligning on how best to configure and customize the solution that supports success in production and builds trust to set up for expansion and growth - Previous experience working with channel partners such as cloud hyperscalers and system integrators to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - as an early sales hire, you’ll have to be a self-starter, doer and a strategist who is capable of wearing many hats and doing what it takes to figure out a path to success - Curiosity - you want to go deep on NLP and become an expert on our technology while considering how to fit into a large organization’s technology landscape - Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences Additional Requirements: - Deep understanding of the enterprise landscape, including key trends, challenges, and opportunities - Ability to articulate the value of AI and NLP solutions in the context of Fortune 2000 operations. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: 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: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE (Onsite in Boston) We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.   WHAT YOU WILL DO - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability   WHAT YOU WILL BRING - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field   Annual salary range: $170,000-$235,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit enables people to build software with AI. The infrastructure underneath that experience must make it straightforward to launch services, isolate workloads, and run reliable systems at scale. We're hiring a hands-on Engineering Manager to lead Cloud Infrastructure: the shared infrastructure as code (IaC), networking, storage, compute, and service mesh platforms that Replit's product and platform teams depend on. You'll lead and grow an existing engineering team building and operating these foundations, including Kubernetes, shared edge networking, service mesh and workload identity. This is a platform-building role with production accountability. You should be comfortable going deep on a design or incident while developing a team that does not depend on you for every decision. WHAT YOU'LL DO - Own the cloud-platform roadmap. Lead the team's IaC, networking, storage, compute, and service mesh platforms. Translate product, platform, reliability, and security needs into sequenced outcomes, balancing foundational investment, lifecycle work, and delivery commitments against the team's capacity. - Make infrastructure repeatable and self-service. Build maintained IaC interfaces for services, cells, connectivity, identities, and shared resources. Enable internal customer teams to provision infrastructure without bespoke coordination or dependence on individual experts. - Operate what the team builds. Own platform availability, upgrades, isolation, recovery, and incident remediation. Maintain clear SLOs, sustainable on-call coverage, and primary and backup owners for critical systems. - Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including Replit—to prototype and automate. Apply rigorous review and verification to AI-generated infrastructure changes. - Build and grow a high-ownership engineering team. Coach engineers, develop technical leaders, set clear expectations, manage performance, and hire against agreed needs. Delegate meaningful ownership as the team grows. WHAT YOU'LL BRING - Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor. - Software-oriented infrastructure depth. You have built and operated cloud platforms or distributed systems and can reason across infrastructure code, Kubernetes, networking, service identity, and stateful dependencies. - Safe-change and production judgment. You have owned consequential migrations and incidents, can explain failure modes and rollback limits, and know when simplifying a system is better than adding another platform. - Platform-product and engineering judgment. You understand internal customers, create interfaces other teams adopt, and make clear tradeoffs among reliability, developer autonomy, engineering effort, and workload efficiency. NICE TO HAVE - Experience with multi-tenant, cellular, regional, or dedicated enterprise infrastructure. - Familiarity with GCP/GKE, Terraform or similar IaC systems, Cloudflare, Envoy/Istio, SPIFFE/SPIRE, and managed data services. - Experience with large-fleet rightsizing, infrastructure consolidation, or migrating CI compute without disrupting developer workflows. - A track record using AI tools to increase engineering output while preserving production safeguards. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature our approach to securing AI both within Tenable's products and across the enterprise. AI introduces a new class of risk at the intersection of application security, cloud risk, and data governance, and you will be on the front lines of defining how we assess, test, and address it. You will apply hands-on AI engineering experience alongside deep product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. You will establish security standards for responsible AI use, influence decisions across the organization, and build tooling that raises our security posture. This role is ideal for a practitioner who has spent real time building with AI systems, looking under the hood of model internals, and wants to channel that experience into a security specialty. Your Opportunity: Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle. Conduct safety research, inspecting model internals (e.g., detecting hidden deception, latent knowledge, or unwanted concepts across layers) as a core methodology. Perform AI safety assessments and threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks. Design and implement robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models. Act as a subject matter expert in AI safety research by inspecting model internals to detect hidden deception, latent knowledge, or unwanted concepts, ensuring highly transparent and aligned AI outputs. Continuously monitor the AI landscape for novel vulnerabilities and attack techniques, applying deep engineering experience to proactively defend enterprise AI deployments. Develop security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses. Deploy controls to ensure model integrity, governance, and proper access control across models and feature stores. Build AI-driven tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors. Perform AI safety, security assessments, threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks. Collaborate with software engineers, and product teams to integrate security best practices into AI development, training, validation, and deployment processes. Drive Secure Software Development Lifecycle (SSDLC) and DevSecOps practices for AI-powered products, including threat modeling, security testing, penetration testing, and CI/CD pipeline security automation. Create security guidance, documentation, and training for internal engineering and development teams; develop metrics that drive desired security behaviors and outcomes. Research emerging trends in AI security and contribute to innovative solutions that support Tenable's AI initiatives. What You'll Need: 5 or more years of professional experience in information security or application security, with at least 1–2 years focused on securing AI/ML systems. Master’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred; advanced degree preferred. Deep understanding of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks. Strong coding experience in Python and/or Go. Experience with frameworks & libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar. Experience using specialized interpretability and probing tools/libraries such as TransformerLens, NNsight, Captum, or LIT (Learning Interpretability Tool). Familiarity with mechanistic & Architectural Concepts: inspecting internal model states, residual streams, attention patterns, activation steering, Sparse Autoencoders (SAEs), or feature attribution. Strong understanding of the ML/AI lifecycle and the security risks associated with each stage. Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services. Knowledge of data security principles, including encryption, masking, and tokenization. Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling. Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices. Ability to work cross-functionally across engineering, product, and business teams. Strong written and verbal comAAmunication skills; able to clearly translate complex AI security risks for both technical and non-technical audiences. Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership. Self-motivated and effective working independently and across distributed teams. And Ideally: Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments. Familiarity of AI security frameworks and standards, including OWASP LLM Top 10 and the NIST AI Risk Management Framework. Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc). Familiarity with AI governance frameworks (EU AI Act, NIST AI RMF, etc.). Background in cloud security or large-scale SaaS product environments. Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications are a plus, but not necessary. #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $122,500 — $163,166.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. 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