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Location: Remote-Friendly (Travel Required) | San Francisco, CA 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 In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Responsibilities Build full-stack end-to-end across the People Products portfolio. Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input. Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have shipped LLM-native features or applications. Derive joy from hard work and the act of creation. Are experienced enough to build big features independently, and make great architectural decisions along the way. Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you. Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure. Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly. Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle. Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better. Strong Candidates May Also Have: Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production. Background at an AI-native company or in a product-focused 0->1 engineering environment. Experience with HR tech platforms such as Greenhouse, Workday, or Rippling. 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is evolving the Product Support experience, powered by AI, automation, and integrated systems. The AI Infrastructure & Tooling team helps make that possible by building intelligent, resilient, and integrated solutions that automate workflows, connect systems, and streamline support operations. As a Support Engineer, AI Infrastructure & Tooling on this team, you'll be the technical execution layer that brings our support tools, customer and account context, internal systems, and AI workflows together. You'll design, build, and operationalize integrations across systems like Decagon, Zendesk, Figma admin tooling, and adjacent Product Support platforms. Your work will help us bring the right context into customer conversations, automate complex workflows, and optimize both the customer and Specialist experience by applying AI where it can meaningfully improve support workflows, quality, and efficiency. This role is ideal for someone who can move from ambiguous support problems to working technical solutions: understanding the workflow, identifying the systems involved, building the integration or automation, validating the data flow, and measuring the impact on customer outcomes and Specialist efficiency. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and operationalize AI-powered workflows that improve Product Support experiences for customers and internal support teams Design and maintain integrations across Decagon, Zendesk, Figma admin tooling, internal data sources, and adjacent Product Support platforms Bring relevant customer, account, product, billing, file, or admin metadata into support conversations so chatbots and Specialists have the context they need to resolve issues more effectively Use LLMs and AI patterns for classification, summarization, routing, recommendations, context enrichment, and workflow automation Partner with Engineering, Analytics, Security, Programs, Support, and vendor teams to align on requirements, implementation, governance, and rollout Build quality checks, monitoring, fallback paths, and operational guardrails so AI-powered workflows can be trusted in production Define success metrics for each workflow, track adoption and impact, and iterate based on customer outcomes, Specialist efficiency, and adoption We’d love to hear from you if you have: 3+ years of experience shipping integrations, automations, or internal tools across customer-facing operational systems Strong proficiency in modern back-end technologies and languages (e.g., Ruby, Python, Go, C++, PostgreSQL), with hands-on experience building APIs, implementing webhooks, orchestrating data flows, and integrating systems across complex workflows. Hands-on experience with LLM-powered workflows, AI automations, or AI-enabled customer/support experiences, including working with operational data to debug issues, improve workflows, and measure impact Strong product and stakeholder instincts: you can translate ambiguous support problems into practical, adopted, and measurable technical solutions Proven track record of designing AI workflows with clear guardrails, fallback paths, and responsible deployment practices While it’s not required, it’s an added plus if you also have: Experience with support platforms like Zendesk, Decagon, Sprinklr, Gainsight, Maestro QA/Rippit, Assembled, Salesforce, or similar systems Familiarity with agent assist tooling, AI support chatbots, copilot tooling, RAG, AI observability, or monitoring AI workflows in production Experience building internal Slack tooling, workflow automations, or embedded support experiences Background in Support Engineering, Internal Tools Engineering, Solutions Engineering, Support Operations, CX Systems, or Business Systems Familiarity with customer support metrics such as containment, deflection, CSAT, first contact resolution, routing accuracy At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Lagos, Nigeria Role Summary Renmoney is seeking a strategic, innovative, and experienced Product Manager responsible for the development, management, and strategic positioning of wealth management and private banking products, ensuring tailored solutions that grow assets under management, drive deposit mobilization, and meet clients' sophisticated needs. The Product Manager balances client-centric innovation with compliance, profitability, and competitive differentiation, supporting the bank’s growth agenda in premium and retail segments.​ Key Responsibilities Design, launch, and manage wealth management and private banking products including fixed deposits, bonds, commercial papers, and high-value savings accounts, tailored to individuals and SMEs.​ Conduct market research, assess customer needs, and analyze competitor offerings to inform product strategy and pipeline.​ Monitor product performance metrics (growth, adoption, profitability, cost of funds), regularly reviewing strategy to ensure AUM and revenue targets are achieved.​ Collaborate with digital, compliance, operations, and sales teams to ensure products are secure, scalable, and regulatory compliant.​ Support relationship managers and sales teams with training, tools, and product information, enabling them to drive growth and cross-sell across the bank's premium client base.​ Develop product roadmaps, prepare business cases, and manage regulatory submissions and approvals for new products and enhancements.​ Drive customer engagement initiatives, ensuring superior client experience and retention in private banking channels.​ Lead quarterly product reviews, ensuring internal process alignment and continuous improvement around client satisfaction and portfolio profitability.​ Requirements Bachelor’s degree (Business, Finance, Economics, or allied disciplines); professional certifications in wealth management/financial planning are advantageous.​ Minimum of 3–5 years’ experience in product development or relationship management, ideally in wealth/private banking or financial services within the Nigerian.​ Strong grasp of financial market trends, regulatory frameworks, and wealth management instruments relevant to microfinance and premium banking.​ Excellent analytical, communication, and stakeholder management skills. Proficiency in digital product analytics/tools is a plus.​ Demonstrated ability to deliver client-focused solutions and grow profitable product portfolios.​

Location: United States About Flosum Flosum is a leading DevOps and release management platform purpose-built for the Salesforce ecosystem. We serve Fortune 500 enterprises across regulated industries, helping them ship faster, stay compliant, and scale their Salesforce operations with confidence. We are entering an aggressive growth phase and are looking for exceptional leaders who can help us dominate our market and scale rapidly toward $100M+ in annual revenue. The Opportunity We are hiring a VP of Finance who is far more than a traditional finance executive. This is a hands-on, high-impact leadership role for someone who can serve as a true strategic partner to the CEO and executive team, wielding financial intelligence as a growth weapon. You will own the financial architecture of the business while simultaneously driving operational excellence across our go-to-market functions. You will be the person who figures out where every dollar should go to maximize growth velocity and ensures we are building a scalable, capital-efficient machine. This is not a role for someone who wants to sit back and produce reports. We need a builder and operator who can make a dent in the company from day one. What You Will Own Financial Strategy & Capital Allocation Own the company’s financial model, forecasting, and long-range planning with a relentless focus on accelerating growth to $100M ARR Determine where capital should be deployed across R&D, sales, marketing, and customer success to maximize ROI and speed to scale Build and maintain a capital allocation framework that balances aggressive growth with operational discipline Lead fundraising strategy, investor relations, and board-level financial reporting if and when external capital is pursued Go-to-Market Financial Operations Partner with sales, marketing, and revenue operations leadership to optimize GTM spend efficiency and pipeline economics Build financial models that connect marketing investment to pipeline generation, conversion rates, deal velocity, and revenue outcomes Establish and track unit economics (CAC, LTV, payback period, magic number) to inform GTM investment decisions at an enterprise SaaS level Provide financial oversight and accountability for GTM team performance, headcount planning, and quota/capacity modeling Budgeting, Planning & Operational Efficiency Own the annual budget process and quarterly business reviews, ensuring every function is aligned to growth targets Implement rigorous financial controls and reporting cadences without creating bureaucratic drag Identify inefficiencies and reallocate resources in real time to capitalize on what’s working Build dashboards and reporting that give the executive team instant visibility into financial and operational health Scaling the Business Serve as a strategic thought partner to the CEO on all growth decisions, including pricing, packaging, market expansion, and M&A Bring a deep understanding of SaaS business models and the levers that drive hyper-growth in enterprise software Help design compensation structures, commission plans, and incentive models that drive the right behaviors across the organization Evaluate and optimize vendor spend, technology investments, and operational costs to fund growth Requirements What We Are Looking For 10+ years of progressive finance leadership experience in B2B SaaS companies, with at least 3–5 years at the VP or CFO level Proven track record of scaling a SaaS company from the $10–30M range toward $100M+ ARR in a compressed timeframe Deep fluency in SaaS metrics, unit economics, and the financial mechanics of enterprise software businesses Exceptional command of go-to-market functions — you understand how sales, marketing, and customer success drive revenue, not just how to count it Experience managing or providing financial oversight to GTM teams, including headcount planning, territory modeling, and pipeline forecasting Hands-on operator who builds models, digs into data, and drives decisions — not someone who delegates everything to a team of analysts Experience in the Salesforce ecosystem or selling into Fortune 500 enterprises in regulated industries is a strong plus Outstanding communication skills with the ability to translate complex financial data into clear, actionable insights for non-financial stakeholders Missionary mindset — you take ownership, think independently, and care about the success of the company as if it were your own What Success Looks Like First 90 Days: Complete a full diagnostic of the company’s financial model, GTM spend efficiency, and unit economics Deliver a capital allocation recommendation identifying the highest-ROI growth investments Establish baseline KPIs and a financial reporting cadence that gives leadership real-time visibility First 6 Months: Implement a scalable financial planning and analysis framework tied directly to growth milestones Optimize GTM spend to measurably improve pipeline efficiency and reduce CAC payback period Partner with the CEO and revenue leadership to finalize the investment plan for scaling to $100M ARR First Year: The company has a clear, data-driven financial roadmap with capital deployed against the highest-impact growth levers GTM team operating at peak financial efficiency with transparent cost-to-revenue attribution Financial infrastructure is investor-ready and scalable for the next phase of growth Benefits Why Flosum Market Leadership: We are a category leader in Salesforce DevOps with deep enterprise traction and a product that Fortune 500 companies depend on Massive Opportunity: The Salesforce ecosystem is a multi-billion dollar market, and we are positioned to capture outsized share Impact: This is a company where one person can make a transformational difference. You will not be a cog — you will be a catalyst Culture: We value missionaries over mercenaries, ownership over politics, and results over posturing Competitive base salary commensurate with experience Performance-based bonus tied to community growth and engagement milestones Equity participation Full benefits package (health, dental, vision, 401k) Remote-first flexibility with travel budget for in-person executive engagements as needed

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history 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: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Geneva Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We are seeking a Senior Project Manager, Delivery, a senior client-facing role accountable for defining client solution needs and leading the delivery of complex enterprise and institutional solutions. This role owns the delivery lifecycle for assigned engagements, from early solution shaping and delivery planning through execution, operational readiness, and steady-state outcomes. Operating within the Service & Enterprise Solutions organization, the Senior Project Manager, Delivery acts as the primary day-to-day owner of client delivery outcomes. This role combines strategic solution definition with rigorous program and project management execution, working closely with clients, Commercial, Solution Architecture, Integration, Product, and Engineering to ensure solutions are clearly defined, deliverable, executed predictably, and transitioned successfully into production. While overall delivery strategy and portfolio governance are owned at Director level, the Senior Project Manager, Delivery is accountable for ensuring solution needs are clearly understood, scoped, planned, and realized through high-quality delivery with strong program-level execution discipline, governance, and risk management. What You'll Be Doing (Responsibilities): - Build, mentor, and lead a high-performing team to scale the delivery of financial services solutions - Own the end-to-end solution delivery lifecycle for complex enterprise and institutional client engagements, from early solution definition and delivery shaping through implementation, go-live, and steady-state operations - Partner with clients and Commercial teams during pre-sales and deal shaping to define solution needs, delivery scope, success criteria, and operational expectations - Translate solution requirements into executable delivery plans, ensuring scope, timelines, costs, dependencies, and risks are clearly defined and agreed - Plan and manage multi-workstream delivery programs, establishing project governance, reporting frameworks, and execution rhythms across delivery teams - Act as the senior delivery authority and escalation point for assigned programs, accountable for solution outcomes, quality, client satisfaction, and program-level execution - Ensure solutions are designed and planned for delivery by working closely with Industry Architecture, Integration, Product, and Engineering to validate feasibility and execution approach - Lead delivery planning and orchestration, including resource allocation, vendor coordination, dependency management, milestone tracking, risk management, and change control - Track progress against milestones, budgets, and delivery commitments, ensuring early identification of deviations and implementing corrective actions - Drive dependency management across Engineering, Product, Integration, vendors, and client teams to ensure coordinated execution - Own operational readiness and transition to run, including testing coordination, go-live planning, support models, and handover to long-term operations teams - Ensure delivered solutions meet contractual, regulatory, and operational commitments, including SLAs, KPIs, and compliance requirements - Provide clear, executive-level reporting to internal leadership and client stakeholders on delivery status, risks, and outcomes - Represent delivery and solution execution in client steering committees and internal leadership discussions - Drive continuous improvement across delivery processes, project management frameworks, tooling, and execution practices What We Look for In You (Required Qualifications): - 7–12 years of experience in enterprise delivery leadership, program management, or project management within banking, financial services, fintech, or technology infrastructure environments - Proven leadership in building and managing high-performing teams, stakeholder management, and decision-making capabilities - Proven success delivering large-scale, complex, multi-system solutions and managing multi-workstream delivery programs in regulated environments - Demonstrated ability to define, shape, and deliver complex client solutions while maintaining rigorous program and project management discipline - Strong experience delivering solutions across banking, custody, payments, or capital markets (banking, custody, payments, capital markets) - Proven leadership of cross-functional teams spanning Engineering, Product, Integration, and external partners - Deep understanding of solution delivery governance, project governance frameworks, dependency management, risk control, and operational readiness - Strong familiarity with modern delivery environments, including cloud, hybrid deployments, DevOps, and CI/CD-driven execution - Familiarity with agile, hybrid, and waterfall delivery models and ability to apply appropriate methodologies based on context - Ability to operate confidently with senior client stakeholders and internal leadership - Exceptional communication, organization, stakeholder management, and execution skills - Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery - Languages: Swiss German, German, and English required; French highly preferred for Geneva market; Italian a plus - Location: Switzerland, with focus on Zurich and Geneva as primary locations Nice To Haves (Preferred Qualifications): - Experience delivering blockchain, digital asset, or crypto infrastructure projects in institutional environments - Exposure to core banking platforms (e.g. Avaloq, Temenos, Sopra or similar) - Background in managed services, long-term client operations, support organization leadership, consulting, or system integration organizations - PMP, PRINCE2, SAFe, or similar project management certifications - Interest in progressing into Director-level delivery or service leadership roles 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Zurich Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We are seeking a Senior Project Manager, Delivery, a senior client-facing role accountable for defining client solution needs and leading the delivery of complex enterprise and institutional solutions. This role owns the delivery lifecycle for assigned engagements, from early solution shaping and delivery planning through execution, operational readiness, and steady-state outcomes. Operating within the Service & Enterprise Solutions organization, the Senior Project Manager, Delivery acts as the primary day-to-day owner of client delivery outcomes. This role combines strategic solution definition with rigorous program and project management execution, working closely with clients, Commercial, Solution Architecture, Integration, Product, and Engineering to ensure solutions are clearly defined, deliverable, executed predictably, and transitioned successfully into production. While overall delivery strategy and portfolio governance are owned at Director level, the Senior Project Manager, Delivery is accountable for ensuring solution needs are clearly understood, scoped, planned, and realized through high-quality delivery with strong program-level execution discipline, governance, and risk management. What You'll Be Doing (Responsibilities): - Build, mentor, and lead a high-performing team to scale the delivery of financial services solutions - Own the end-to-end solution delivery lifecycle for complex enterprise and institutional client engagements, from early solution definition and delivery shaping through implementation, go-live, and steady-state operations - Partner with clients and Commercial teams during pre-sales and deal shaping to define solution needs, delivery scope, success criteria, and operational expectations - Translate solution requirements into executable delivery plans, ensuring scope, timelines, costs, dependencies, and risks are clearly defined and agreed - Plan and manage multi-workstream delivery programs, establishing project governance, reporting frameworks, and execution rhythms across delivery teams - Act as the senior delivery authority and escalation point for assigned programs, accountable for solution outcomes, quality, client satisfaction, and program-level execution - Ensure solutions are designed and planned for delivery by working closely with Industry Architecture, Integration, Product, and Engineering to validate feasibility and execution approach - Lead delivery planning and orchestration, including resource allocation, vendor coordination, dependency management, milestone tracking, risk management, and change control - Track progress against milestones, budgets, and delivery commitments, ensuring early identification of deviations and implementing corrective actions - Drive dependency management across Engineering, Product, Integration, vendors, and client teams to ensure coordinated execution - Own operational readiness and transition to run, including testing coordination, go-live planning, support models, and handover to long-term operations teams - Ensure delivered solutions meet contractual, regulatory, and operational commitments, including SLAs, KPIs, and compliance requirements - Provide clear, executive-level reporting to internal leadership and client stakeholders on delivery status, risks, and outcomes - Represent delivery and solution execution in client steering committees and internal leadership discussions - Drive continuous improvement across delivery processes, project management frameworks, tooling, and execution practices What We Look for In You (Required Qualifications): - 7–12 years of experience in enterprise delivery leadership, program management, or project management within banking, financial services, fintech, or technology infrastructure environments - Proven leadership in building and managing high-performing teams, stakeholder management, and decision-making capabilities - Proven success delivering large-scale, complex, multi-system solutions and managing multi-workstream delivery programs in regulated environments - Demonstrated ability to define, shape, and deliver complex client solutions while maintaining rigorous program and project management discipline - Strong experience delivering solutions across banking, custody, payments, or capital markets (banking, custody, payments, capital markets) - Proven leadership of cross-functional teams spanning Engineering, Product, Integration, and external partners - Deep understanding of solution delivery governance, project governance frameworks, dependency management, risk control, and operational readiness - Strong familiarity with modern delivery environments, including cloud, hybrid deployments, DevOps, and CI/CD-driven execution - Familiarity with agile, hybrid, and waterfall delivery models and ability to apply appropriate methodologies based on context - Ability to operate confidently with senior client stakeholders and internal leadership - Exceptional communication, organization, stakeholder management, and execution skills - Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery - Languages: Swiss German, German, and English required; French highly preferred for Geneva market; Italian a plus - Location: Switzerland, with focus on Zurich and Geneva as primary locations Nice To Haves (Preferred Qualifications): - Experience delivering blockchain, digital asset, or crypto infrastructure projects in institutional environments - Exposure to core banking platforms (e.g. Avaloq, Temenos, Sopra or similar) - Background in managed services, long-term client operations, support organization leadership, consulting, or system integration organizations - PMP, PRINCE2, SAFe, or similar project management certifications - Interest in progressing into Director-level delivery or service leadership roles 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing Open Role: Senior Product Marketing Manager Location: EMEA - Remote Marketers at Canonical are brand stewards and demand creators.They transform complex open-source technology into messages, stories and strategies that shape the market understanding of our vision.  Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster. We have a bias for action, focus efforts on the most impactful activities and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works. At Canonical, the product marketing team is not just marketing products, we’re building the best Go-To-Market (GTM) engine in the open source world. Our mission is to take the power of open source innovation and bring it to businesses everywhere, from the data center to the edge. We’re growing fast and looking for a Senior Product Marketing Manager (PMM) to join our team—someone who loves technology, thrives in fast-paced environments, and wants to make a global impact. This is a hands-on, multi-disciplinary, and dynamic position, requiring close collaboration with the Product, engineering, content, Sales, and other Marketing teams. T he ideal candidate is passionate about technology, technology marketing, and the use of technology in marketing. They prefer to work in an environment that emphasises ownership of GTM campaigns, collaboration, learning, curiosity, and a drive to always improve oneself / the team / the organisation. They love solving problems, getting hands-on, experimenting, measuring, and using automation to make daily life easier. Why You’ll Love This Role You’ll own the GTM strategy for key products, shaping messaging and positioning that speaks to developers and enterprise buyers alike. You’ll collaborate cross-functionally with product management, sales, regional marketing, content, and partner marketing teams to bring campaigns to life. You’ll get creative, crafting compelling advertising, launch plans, and campaigns that make our products stand out in a competitive landscape. You’ll measure impact, using data to refine messaging, optimize marketing funnels, and drive customer engagement. You’ll be part of a truly global team, working with colleagues in over 85 countries in a fully remote, high-performance environment. As a product marketing manager, you will: Develop and execute go-to-market (GTM) strategies for a range of products. Lead messaging and positioning efforts ensuring our products stand out in a competitive market. Lead content planning with product managers —from website copy to whitepapers, blogs, and sales enablement materials. Collaborate on marketing campaigns, partnering with regional marketing teams to execute integrated campaigns that drive pipeline growth. Launch new products and features, leading cross-functional teams to drive awareness and adoption. Run competitive analysis, staying ahead of market trends and evolving our positioning accordingly. Support the customer success team on driving customer engagement and growth, working on strategies to upsell and cross-sell across our customer base. Plan and execute global events, live webinars, and community meetups that align with our GTM priorities. What we are looking for in you A passion for technology and open source—you get excited about innovation, software, and community-driven development. Strong storytelling skills—you know how to craft messaging that resonates with both technical and business audiences. Growth mindset—someone who thrives on experimentation, learning, and continuous improvement. Excellent communication skills, both written and verbal. Nice-to-have skills Data-driven mindset, using insights to refine strategies and improve performance. Experience in product marketing for enterprise software, cloud, DevOps, or open-source solutions. Experience with demand generation, understanding how to translate GTM strategies into pipeline growth. Comfort working cross-functionally with product, sales, partners, and marketing teams. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Argentina; Mexico; Israel; Spain Libertex Group Overview Established in 1997, the Libertex Group is an international powerhouse with over 29 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of ‘Libertex’, the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. The Libertex Group in Numbers: • 29+ years of fintech experience • 3M+ clients worldwide • 700+ employees • 45+ international awards (for Libertex) • 300+ tradable assets (through Libertex) The Libertex Group is constantly driven by a single passionate purpose – to tirelessly work on developing amazing fintech for people who simply want to have ‘more’ in their lives. Job Overview You will be responsible for managing relationships with affiliate partners and you will be working with a variety of different companies, from e-commerce retailers to media outlets, and help them generate revenue by promoting their products or services through third-party websites or platforms. Main Responsibilities Recruit/look for new Affiliates/IBs and maintain existing relationships with current Affiliates/IBs Maintain and monitor affiliate programs and activities Communicate with clients to answer questions and resolve issues with their accounts Search for Affiliate/Traffic networks and negotiate with them to cooperate with our affiliate program in accordance with our terms Negotiate contracts with new affiliates or renew existing agreements with existing partners Create proposals for new affiliate relationships based on estimated returns on investment (ROI) Monitor affiliate websites for fraudulent activity or policy violations such as spamming or publishing confidential information Review sales reports to determine which campaigns are producing results and which ones need to be improved or discontinued Analyze demographic data and statistics to identify emerging markets and opportunities for new products or services Coordinate with the creative team in order to prepare the conversion promo materials for Affiliates for specific GEO (landing pages, teasers, banners) Write marketing briefs and work with our creative team to develop assets for campaigns Initiate new campaign ideas and bonus offers for affiliates Represent company at international events (exhibitions, meetups, seminars, etc.) Requirements Degree in Marketing, Digital Media, Media Buying or any other related field is a plus At least 1 - 2 years of experience in an Affiliate Manager role Experience within the Forex or Fintech industry will be considered a plus Excellent command of English and Spanish language is a must Deep understanding of affiliate and partner marketing channels Ability to work independently and meet tight deadlines Ability to multitask and excellent attention to details Strong interpersonal skills, curiosity, and positive attitude Proficiency with Microsoft Office (Excel), knowledge of affiliate networks Exceptional planning and project management skills Outstanding verbal and written communication skills Ability to travel when needed to conferences and/or team meetings in other locations Benefits Monthly bonuses based on performance 21 working days of annual leave Work remotely whilst being part of a global team Udemy Business unlimited membership Professional and personal development opportunities in a fast-growing environment Please send your CV in English, your portfolio and showreel along with the application. Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: United States; United Kingdom; Canada; South Africa About Huzzle At Huzzle, we connect exceptional professionals with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Summary We’re hiring an experienced Account Manager to manage and grow client relationships within a fast-paced marketing environment. This role is ideal for someone who understands digital marketing workflows, can translate strategy into execution, and excels at client communication and retention. Key Responsibilities Serve as the main liaison between clients and internal marketing teams Manage multiple marketing accounts simultaneously while maintaining high service quality Coordinate campaign execution across paid media, SEO, content, and email marketing initiatives Conduct regular client check-ins, performance reviews, and strategy calls Track KPIs, prepare reports, and communicate insights and recommendations clearly Identify upsell and cross-sell opportunities within existing accounts Ensure client retention through proactive communication and problem-solving Collaborate closely with project managers, strategists, and media buyers Requirements 2+ years of experience as an Account Manager or Client Success professional in a marketing agency or marketing-driven company Strong understanding of digital marketing fundamentals (paid ads, SEO, funnels, analytics) Excellent written and verbal English communication skills Proven ability to manage client expectations and deliver results Experience working with CRMs, project management tools, and reporting dashboards Highly organized, detail-oriented, and comfortable working remotely Client-facing mindset with strong relationship-building skills Benefits 💰 Competitive Salary: Salary is variable depending on experience and skillset 🌎 Remote Work: Work from the comfort of your home 🚀 Exclusive Access: Connect with top-tier employers globally. 🤝 Network & Learn: Be part of a community of sales professionals, sharing insights and opportunities.

Location: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement. Job Duties and Responsibilities: Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals. Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues. Provide high-quality customer engineering assistance that results in high customer satisfaction. Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale. Attend meetings with clients to analyze, troubleshoot and diagnose problems. Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback. Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention. Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption. Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives. Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact. Participate in a 24/7 on-call rotation, providing after-hours support for critical issues. Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base. Proactively communicate to avoid escalations and negative customer satisfaction. Author technical documents on common issues and solutions to build the knowledge base and participate in communities. Support weekend shifts on a rotational/as-needed basis if requested. Lead support initiatives for the betterment of the organization and team. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor's degree in Computer Science or equivalent field of study. 3+ years of experience with on-premise or cloud Data Unification solutions. 3+ years of experience supporting enterprise products in SaaS in a customer-facing role. 3+ years of experience with Public Clouds AWS/GCP/Azure and their services. 3+ years of experience with REST APIs and integration tools. 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications. Experience in data management, master data management, analytics, and big data platforms and technologies. Experience in hands-on programming (ex. Python, Java). Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Experience with RESTful API development and debugging, Postman. Experience with web UI development with JavaScript frameworks. Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Skills That Are Nice to Have: MS in computer science or equivalent experience preferred. Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $77,000 — $162,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale. You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure. Responsibilities System Architecture & Integration Design and implement multi-site controls architecture across Anthropic's global datacenter facilities Define network topology, redundancy, and high-availability requirements for control nodes and servers Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems Control System Design & Implementation Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring Data Collection & Visualization Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities Construction Integration & Documentation Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning Define and review controls and instrumentation specifications in architectural and MEP packages Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility Minimum Qualifications Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience 7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP Experience with instrumentation selection, control panel design, and control system integration Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management Strong documentation skills and ability to work effectively in cross-functional teams Preferred Qualifications 10+ years in datacenter, critical facilities, or mission-critical infrastructure environments Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems Background in high-density rack integration environments and AI/ML compute infrastructure Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks Experience deploying multi-site redundant controls servers with high-availability requirements Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens) Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards Coordinate large-scale migrations and platform modernization efforts across engineering teams Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations Drive programs to establish and achieve reliability targets across training infrastructure and production services Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives Have strong stakeholder management skills and can build trust with both technical and non-technical partners Are comfortable navigating competing priorities and using data to drive technical decisions Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling Thrive in fast-paced environments and can balance strategic planning with tactical execution Are obsessed with reliability, scalability, security, and continuous improvement Have a passion for supporting internal partners like research to understand their unique needs Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters) Background working with research teams and translating their needs into concrete technical requirements Experience driving adoption of AI tools to improve engineering productivity Familiarity with observability tooling and practices Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Remote; Barcelona Workplace: remote Our Implementation team plays a key role in onboarding seamlessly new customers: they are working cross departments (Sales, Product and Customer Success) to understand and document client use cases and requirements and then translate them into the set-up and configuration of the 360Learning platform.    You will manage all phases of the implementation lifecycle, from sales turnover and kick off to handover to support. You will drive project management, define 360Learning platform architecture for our clients, facilitate integrations (flat files, API’s) and 3rd party apps, guide and provide assistance in order to ensure the successful deployment of their platform.   In addition, you will follow your customers' portfolio along their contract to increase product adoption, as well as to deliver Solutions complementary to the Product like platform audits. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basic requests through ticketing Within 3 months, you will: Start to onboard your own new clients: Drive project management in order to ensure successful platform deployment from kick-off meeting, regular touchpoints until handover to support Host functional and technical workshops with clients to support them in their platform customization and structuring Within 6 months, you will: Ensure the smooth 360Learning platform deployment for new clients Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform into their technical environment  & troubleshooting Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Within 12 months, you will: Onboard another Solution Deployment Manager Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients The Skills Set Minimum 4 years professional consulting experience, preferably in a customer facing role (Technical consultant, Technical Account Manager, Technical Project Manager, Implementation Project manager or Pre-sales Consultant) Previous deployment experience of SaaS products, ideally HR related Project management skills Understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Fluent German, very good English proficiency (level B2) Enthusiasm for our culture: https://bit.ly/Convexity360L Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with Solution Deployment Manager Coach Case Study with the Coach and a Solution Deployment Manager Clarification Meeting with a future team colleague Culture Fit Meeting with our Chief HR Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, medical insurance, 1 month parental leave for the second parent. Balance : Flexible hours, full remote work possible anywhere in Germany 🏠. Working remotely from outside Germany is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 #LI-JS Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Athens, Greece; Thessaloniki, Greece; Patras, Greece; Heraklion, Greece; Larissa, Greece Workplace: fully 🇬🇷 Freelance Recruitment Partner – Greece (Remote) Earn up to 40% Commission on Every Placement David Kennedy Recruitment (DKR) is expanding across Greece and we're looking for ambitious, well-connected Recruitment Partners who know how to find, engage and deliver exceptional talent. With hundreds of live vacancies globally and clients ranging from iGaming, Tech, BPO, Sales, Customer Experience and Operations, you'll never be short of opportunities to work on. Whether you're an experienced recruiter, sourcing specialist or independent consultant looking to maximise your earnings, we'd love to speak with you. Position Freelance Recruitment Partner 📍 Greece (Remote) 💼 Freelance / Contractor (invoice required) 💰 Up to 40% commission on successful placements 🌍 Access to 500+ live vacancies globally What You'll Be Doing ✅ Source and engage high-quality candidates through LinkedIn, job boards, networking and other channels ✅ Screen, interview and qualify candidates against client requirements ✅ Partner closely with our Service Delivery Team and Managing Director to deliver outstanding recruitment solutions ✅ Build and maintain talent pipelines across multiple sectors ✅ Coordinate interviews and manage candidate communication throughout the process ✅ Keep candidate information organised and updated within our ATS ✅ Develop long-term relationships with candidates and become their trusted career partner What We're Looking For ✔ Fluent English (written and spoken) ✔ Strong knowledge of the Greek talent market ✔ Ability to source and recruit candidates within Greece ✔ Previous recruitment or talent sourcing experience ✔ Experience recruiting internationally is highly advantageous ✔ Self-motivated, organised and able to work independently ✔ Excellent communication and relationship-building skills ✔ Responsive, proactive and delivery-focused mindset ✔ ATS and recruitment technology experience is a plus Why Join DKR? 🚀 Access to 500+ active vacancies across Europe, LATAM, MENA and APAC 💰 Earn up to 40% commission on every successful placement 🌍 Fully remote with complete flexibility 🤝 Work alongside one of the fastest-growing recruitment ecosystems in the industry 📈 Opportunity to scale your earnings with no cap on success ⚡ Fast-moving, supportive and transparent environment 💚 Commission paid promptly and collaboration handled professionally from start to finish If you're based in Greece and have the ability to identify, engage and deliver great talent, let's talk.

Location: New York, New York, United States Lead our broker engagement and underwriting enablement strategy through digital marketing campaigns and compelling content. About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity, At-Bay offers end-to-end prevention and protection for SMBs and middle-market businesses. As a full-stack insurance provider, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies with nearly 40,000 customers. We believe InsurSec is an $80B market opportunity and we are excited to add a Sr. Digital Marketing Manager role to our team to help communicate the InsurSec value prop to brokers. Why you should join our Insurance Marketing team: This is your opportunity to shape how thousands of brokers understand and sell cyber insurance in a rapidly evolving market. You'll own high-visibility programs that directly impact business growth, including developing broker-facing content, building campaigns that drive engagement, and creating the assets our teams use daily. You'll work at the intersection of insurance, cybersecurity, and marketing, collaborating closely with underwriting, sales, security, and product teams who value your expertise and creative thinking. You'll report to Michael, VP/Head of Marketing, who brings a track record of building high-impact marketing teams. Michael’s leadership style emphasizes autonomy, strategic thinking, and collaborative problem-solving. He’ll give you the space to own your programs while providing the support and cross-functional alignment you need to drive measurable impact. Role overview: You'll spend your days packaging our insurance and security expertise into content and assets for brokers, building multi-touch campaigns in HubSpot, supporting field activations, and creating sales enablement materials that translate our category-leading InsurSec value proposition into broker-friendly messaging. You'll manage the full lifecycle of our broker marketing program, such as direct outreach, webinars, lifecycle marketing, field marketing and events, and enablement, including one-pagers, updating pitch decks, drafting email sequences, and collaborating with teams across the business to ensure brokers have the tools and knowledge they need to position At-Bay effectively. How you'll make an impact: By 3 months... Complete onboarding on At-Bay's InsurSec approach, insurance product suite (Cyber, Tech E&O, MPL), and competitive positioning Take ownership of broker campaigns and digital marketing for our insurance organization Do a deep dive on our marketing tech stack and analytics platforms to audit existing lifecycle campaigns and sales enablement materials to identify quick-win updates to improve performance and/or refresh outdated content Build relationships with key cross-functional partners in underwriting, sales, and security who'll serve as subject matter experts and content collaborators Take ownership of event marketing – managing the broker event calendar, leading vendor contracting and gifting programs, and providing support for broker engagements By 6 months... Own end-to-end broker marketing program strategy and execution Establish a standardized process and toolkit for translating marketing thought leadership into underwriter-ready content — including social posts, email snippets, and one-pagers—that enables underwriters to consistently share relevant insights with their broker networks Launch integrated campaigns across email, social, webinars and UW enablement that drive measurable broker engagement Manage the insurance marketing social media content pipeline and execution in partnership with our social media contractor Build feedback loops with sales and underwriting teams to measure sales enablement effectiveness and continuously improve content based on broker response and win rates What you've accomplished already: Worked in or marketed to the insurance industry, understanding the broker-carrier relationship, how commercial insurance is sold, and the unique considerations of B2B2C marketing Experience withl marketing programs in a B2B environment, managing everything from ideation to execution to analysis and iteration Created sales enablement materials, pitch decks, one-pagers, battle cards, FAQs, that sales teams actually used, with the writing skills to translate complex technical concepts into clear, compelling broker-facing language Built and executed marketing campaigns in a marketing automation platform (HubSpot, Marketo, or similar) that drove measurable results Experience planning and executing hosted events (such as happy hours, executive dinners, roundtables) Managed multiple projects simultaneously in a fast-paced environment, demonstrating strong organizational skills, attention to detail, and ability to prioritize competing deadlines without sacrificing quality Collaborated with cross-functional stakeholders to secure alignment, gather input, and deliver projects that required buy-in from sales, product, or leadership teams Used data and analytics to inform marketing decisions, whether optimizing email subject lines, identifying top-performing content, or making the case for program investment Important Notes This is a hybrid role (3x per week in office) Pay transparency: Our estimated base pay range for this role is $140,000-$175,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.

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 Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident. Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them. Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs. You might be a good fit if you: Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously. Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread. Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them. Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication. Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either. Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you. Strong candidates may also: Have experience with SRE practices, incident management frameworks, or on-call operations at scale. Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted. Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline. Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.