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Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Product Manager with a deep understanding of TradingView users, strong commercial judgment, and experience driving product growth. You will grow OKX's business within the TradingView ecosystem by identifying the most promising customer segments, defining why traders should choose OKX, and finding effective ways to acquire, activate, and retain them, with accountability for measurable business outcomes. Your first priority is to establish how the business can grow and which opportunities warrant investment. You will validate growth hypotheses through user research, data analysis, and focused experiments before committing substantial engineering resources. Those insights will shape the product roadmap, investment priorities, and the TradingView integrations and trading experience improvements you deliver with engineering and partners. What You’ll Be Doing Define the Growth Strategy and Business Opportunity — Identify high-potential customer segments, trading use cases, and market opportunities within the TradingView ecosystem. Assess competitive positioning, platform selection drivers, and OKX's differentiated value proposition. Build growth hypotheses and business cases that consider audience size, revenue potential, acquisition cost, and expected return, then set business goals, priorities, and a phased growth plan. Understand Users and the Trading Conversion Journey — Use interviews, behavioral data, and community feedback to understand how traders discover platforms, use charts and indicators, set alerts, connect accounts, place orders, and manage positions. Identify what motivates or prevents users from choosing OKX, making their first trade, and returning. Develop customer segments and conversion funnels, and turn insights into clear product, positioning, and lifecycle opportunities. Validate Growth Hypotheses and Improve Conversion and Retention — Design measurable experiments across acquisition, account connection, first successful trade, repeat trading, and reactivation. Use existing capabilities, onboarding, trader education, value proposition testing, and targeted campaigns to validate opportunities. Define success metrics, experiment costs, and criteria to scale or stop; expand approaches that work and use the evidence to inform subsequent product investment. Drive Go-To-Market and Ecosystem Partnerships — Work with marketing, regional, lifecycle, and TradingView partner teams on acquisition and go-to-market plans. Evaluate ecosystem visibility, communities, creators, educational content, and joint campaigns as potential channels. Define the customer proposition, distribution approach, conversion journey, and partner objectives, and assess channels by the active traders, retention, and business contribution they generate. Translate Growth Evidence into Product Delivery and Integration — Translate validated user needs and growth opportunities into a product roadmap, PRDs, and acceptance criteria. Define the minimum scope and engineering priorities required to achieve the business objective. Work with OKX engineering and TradingView technical teams to assess API integration, account authorization, market data, and order and position synchronization, and drive the necessary adaptation, testing, and launch to address specific conversion, trust, or retention problems. Own Business Outcomes and Continuously Refine Investment — Own metrics for newly acquired trading users, first-trade conversion, active traders, retention, incremental trading volume, and revenue contribution, taking acquisition, incentive, and delivery costs into account. Separate the effects of market conditions, incentives, and product improvements. Review growth initiatives and feature investments, reallocate resources based on results, and track connection success and trading reliability as measures of experience quality. What We Look For In You Relevant product management experience in trading, fintech, or digital assets, with a track record of measurable product growth. You can explain how you identified opportunities, developed a growth strategy, and improved acquisition, trading conversion, retention, or revenue, including your personal contribution and results. A deep understanding of TradingView users and their practical use of charts, indicators, watchlists, alerts, and trading workflows. You can explain why different traders choose a platform, switch terminals, abandon an order, or continue using a service, and validate those insights through research and data. Strong commercial judgment and growth strategy skills. You can segment customers, assess opportunities, define differentiated positioning, select distribution channels, and build business cases. You validate demand and a credible path to growth through research and focused experiments before substantial engineering investment. Strong analytical and experimentation skills. You can analyze funnels, cohorts, and retention, design and evaluate growth experiments, and assess incrementality, acquisition cost, customer value, and incentive cost. You can distinguish short-term trading volume changes from sustainable growth. An understanding of trading products and their commercial drivers. You are familiar with spot and derivatives fundamentals and how instrument coverage, fees, liquidity, execution quality, and account and position workflows influence customer choice, conversion, and retention. You can translate these factors into product decisions. Experience delivering products that involve technical integration. You have worked with engineers on API or third-party platform integrations and can read interface documentation, understand account authorization and market data, order, and position synchronization, define business rules and acceptance criteria, and drive testing and launch. You connect technical constraints and implementation scope to user value and growth objectives. Strong English communication and cross-functional execution skills. You can work with TradingView partners, marketing, regional, product, and engineering teams on business opportunities, product priorities, and technical feasibility, aligning resources around shared outcomes. Nice-To-Haves Experience growing a business within TradingView or a comparable trading-tool ecosystem, with examples spanning opportunity discovery, growth validation, and scaling. Experience with trader communities, creators, educational content, partnerships, or channel growth, with the ability to evaluate initiatives by active traders, retention, and revenue contribution. Experience growing products across regions or trader segments, with an understanding of differences in user behavior, customer propositions, and acquisition approaches. Experience with TradingView Broker Integration, Advanced Charts, Trading Platform, or comparable integrations, with an ability to explain how the work improved the user experience or supported growth objectives. What Success Looks Like An evidence-based growth plan that identifies priority customer segments, OKX's differentiated value, promising distribution channels, and the business opportunity. Validated, repeatable approaches to acquisition, trading conversion, and retention, supported by research and focused experiments that guide engineering investment and resource allocation. Measurable, sustainable growth in active traders, retention, and revenue contribution, with acquisition and incentive costs taken into account. Delivery of the product capabilities and TradingView integrations needed to capture validated opportunities, with improvements to critical user journeys and ongoing measurement of their growth impact. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Energy & Utilities A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus About us Freedom Finance Europe Ltd is a regulated European online broker headquartered in Cyprus, providing access to US, European and Asian capital markets and a broad range of investment services and financial products. We operate in a fast-moving, highly regulated environment where product speed, client trust, marketing accuracy, regulatory discipline and legal architecture must work together. We are now strengthening our Legal Unit and looking for a senior legal leader to head one of its key expert departments. About the role The Senior Legal Counsel will provide practical, business-oriented legal support across brokerage, investment services, products, commercial agreements, client-facing documentation and regulated communications. This is a senior individual-contributor role for an experienced in-house lawyer who can combine strong legal judgement with hands-on drafting, negotiation and cross-functional collaboration. The role also involves turning recurring legal work into clear, reusable templates, playbooks and standards. The position reports to the Head of Brokerage, Product & Commercial Legal. Provide legal support for the Company’s regulated brokerage model, investment services and product-led initiatives. Assess new products, commercial initiatives, client journeys and distribution scenarios, identifying relevant legal and regulatory requirements and practical execution options. Analyse and apply applicable CySEC, MiFID II/MiFIR, EU financial services, conduct of business, disclosure, prospectus, data protection and sanctions-related requirements. Draft, review and negotiate brokerage, product and commercial agreements with clients, partners, counterparties, service providers, banks, payment institutions, introducing brokers, vendors and other third parties. Own, draft, review and update Terms of Business, disclosures, product terms, client forms, prospectus-related materials, website and platform wording, disclaimers and other client-facing documentation. Review marketing materials, campaigns, claims, presentations, website content, landing pages, client communications and sales initiatives; identify risks and suggest practical alternatives. Review platform flows and client journeys to identify legal, disclosure, transparency and conduct-related risks. Prepare legal positions and response strategies for complex client complaints and pre-dispute matters, including legally sensitive communications and escalation packs. Support relevant teams on sanctions, restrictions and asset-unblocking matters, and coordinate with external counsel when required. Support GDPR and data-protection legal analysis where it intersects with the department’s work. Develop and maintain templates, standard clauses, negotiation playbooks, checklists and other repeatable legal solutions. Work closely with Compliance, Risk, Product, Marketing, Sales, Operations, Client Support, IT, Finance, Document Management and other stakeholders. Support and guide junior or mid-level team members when required, helping maintain the quality and consistency of legal work. Escalate matters that may affect the Company’s licence, regulatory position, client rights, reputation or material financial exposure. Requirements 7–9+ years of relevant legal experience in an in-house legal function of a Cyprus Investment Firm, regulated financial institution, broker, fintech company or a law firm supporting such clients; Law degree. Common-law qualification/JD or civil-law equivalent with strong exposure to common-law drafting and international transactions is preferred; Strong understanding of brokerage, capital markets, investment services, advisory/portfolio management business, client documentation and regulated product distribution; Strong knowledge of CySEC/CIF regulatory environment, MiFID II/MiFIR, applicable EU financial services regulation, GDPR/data protection, sanctions-related regulation, commercial contracts and client-facing legal documentation; Strong drafting and negotiation skills in English and Russian; ability to prepare concise legal memos, business-friendly advice and contract-ready wording; Advanced user of Microsoft Office and ability to work with legal tech, document management, task management and knowledge management tools. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Relocation package, including reimbursement for flights and accommodation for 1 month; Visa sponsorship for the employee and their family members; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: Phnom Penh, Cambodia About Our Client Our client is a leading global provider of technology-enabled outsourcing and business solutions, supporting organizations and customers across multiple markets worldwide. The company operates across a broad international network and places strong emphasis on operational excellence, technology, and service quality. Job Description The Manager - Operations will be responsible for managing the Visa Application Unit, ensuring optimal efficiency and productivity through the implementation of effective operational strategies and process improvements. Additionally, the role involves supervising day-to-day activities, managing resources, and driving performance to meet organizational goals and service standards. Key Responsibilities Business Unit and Financial Management Oversee the entire business unit, ensuring overall operational success. Ensure the unit’s profitability and meet EBIT targets set by the Zone/Region. Manage the unit’s expense budgets and allocated resources effectively. Enhance and maintain ongoing Value-Added Services to meet monthly and annual targets. Update and track productivity and Value-Added Services Conversion Grid on a weekly/monthly basis for performance reviews. Forecast manpower requirements, particularly for peak season hiring needs. Process and Team Management Adhere to all existing processes and meet the defined Service Level Agreements. Mentor teams to ensure adherence to all SOPs and processes, in line with organizational and ISO standards. Align teams with objectives listed in the Team Objective Tracker and ensure their contribution toward achieving these goals. Implement process improvements to enhance quality and efficiency within the unit. Lead the implementation of new processes in the Visa Application Centre(s). Oversee regular product and process training for staff, including coaching and development. Ensure staff attendance at HR-scheduled training and conduct Internal Process Certifications (OCLs) to monitor effectiveness. Relationship Building and Innovation Build and maintain strong business relationships with Consulate officials. Encourage the team to share innovative ideas and best practices. Collaborate with the Value-Added Services team to develop new revenue channels. Manage both physical and data security at the Application Centre, ensuring adherence to the company's Corporate Security Policy and pre-empting potential breaches. Coordinate with support functions (Administration, Human Resources, Finance, etc.) as needed. Sustainability Promote judicious use of natural resources. Adhere to the organization's environment, health, and safety policies, objectives, and guidelines. Anti-Bribery Management Systems (ABMS) Follow the roles and responsibilities prescribed in the company's Anti-Bribery Management Systems manual. Understand ethical standards and the importance of integrity in business practices. Identify and evaluate risks related to bribery in various business contexts. Key Requirements 10+ years of experience, preferably in hospitality, customer-facing, travel and tourism, or service industries, with experience in handling teams and managing processes. Graduate/Postgraduate degree or globally equivalent qualification, or equivalent certifications. Behavioral Competencies Communication Digital Fluency Diversity, Equity, and Inclusion Orientation Personal and Professional Development Leadership Entrepreneurship Quality and Service Orientation Teamwork and Collaboration Delivering Results Functional Competencies Operations Management Project Management B2C Sales Client (Mission) Management Equal Opportunity Our client is committed to providing equal employment opportunities and fostering an inclusive workplace where individuals from diverse backgrounds are welcomed and supported.

Tines is an intelligent workflow company supporting IT and security teams from diverse customers including Canva, Reddit, SAP, Coinbase, Mars, Fin (Intercom), and McKesson. They launched Tines 3B in 2026, a secure environment integrating any API-enabled service, emphasizing security and privacy by design. This is a remote role based in EST. The Customer Experience organization is recognized for quality, responsiveness, and helping customers realize value. The Renewals team protects and grows customer relationships by creating a predictable, consistent, and customer-centered renewal experience. Tasks: — Lead and develop a team of Renewal Managers with coaching and commercial guidance. — Own renewal performance including Gross Revenue Retention, renewal rate, churn, contraction, and on-time execution. — Maintain consistent renewal forecasts with clear visibility into timing, risk, and outcomes. — Guide Renewal Managers through complex negotiations involving pricing, contract terms, multi-year agreements, procurement, and commercial challenges. — Ensure early renewal engagement with customer context, risk signals, and relationship insights. — Partner with Customer Success to clarify ownership between customer outcomes and commercial renewal execution. — Collaborate with Sales and Account Management to identify expansion opportunities. — Work with Revenue Operations to improve forecasting, CRM workflows, dashboards, automation, and reporting. — Develop scalable renewal motions across customer segments including high-touch, mid-touch, and digital/automated approaches. — Establish renewal playbooks, timelines, escalation paths, handoffs, and operating cadences. — Manage metrics and KPIs measuring renewal effectiveness. — Recruit, onboard, develop, and retain commercial talent as the function scales. Requirements: — 7+ years experience in SaaS, enterprise software, Customer Success, Account Management, Renewals, Sales, or similar. — 3+ years people leadership experience with coaching and developing high-performing teams. — Experience managing recurring revenue portfolios and meeting retention/renewal targets. — Strong understanding of SaaS metrics: ARR, Gross Revenue Retention, Net Revenue Retention, churn, contraction, renewal rate, expansion. — Experience building and managing renewal forecasts with operational rigor. — Strong commercial judgment in pricing, negotiation, procurement, contracting, and handling objections. — Ability to coach teams through complex commercial situations balancing customer relationships and revenue protection. — Experience collaborating with Customer Success and Sales on customer strategy and commercial outcomes. — Strong analytical skills to identify trends, diagnose performance, and determine interventions. — Track record improving workflows, standardization, automation, or systems to increase efficiency. — Strong cross-functional leadership and ability to influence Revenue Operations, Sales, Customer Success, Finance, Legal, and executives. — Excellent communication skills for detailed commercial and senior executive discussions. Success looks like building a Renewals organization that creates predictability, simplifies customer experience, engages customers early, identifies risks proactively, executes commercial conversations confidently, and provides accurate renewal visibility. Customer Success teams focus on value and risk mitigation while Renewals leads commercial renewal expertise. The renewal motion will scale with strong talent, clear ownership, operational discipline, automation, and data. Target Annual Compensation: $150-170K OTE (70/30 split). Applicants must be authorized to work for any employer in the U.S. No visa sponsorship available.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Key responsibilities Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in Guide customers through security reviews, verification for security use cases, and procurement Teach the Account Executives in your business unit to spot and qualify security opportunities Bring what you hear from security teams back to our product, safeguards and marketing teams Minimum qualifications Experience selling or supporting the sale of cybersecurity products or services to enterprise customers Deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security Ability to hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done A consultative approach to selling: you understand the problem before you propose anything, and you're honest about what a product can't do A commitment to making AI systems safe and beneficial Preferred qualifications 5 or more years in sales or other customer-facing roles, including 3 or more years selling or supporting cybersecurity products or services for enterprise customers Experience closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver Experience as a specialist alongside account teams while carrying your own number, and the ability to say exactly what you did to win the deal Experience building pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts A record of leading through influence, not authority: Account Executives bring you into their accounts because you help them win Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience selling AI, developer or data platform products to technical buyers Hands-on experience as a security practitioner or sales engineer before moving into sales 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes. We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.   You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you. _______________________________________________________________________   WHAT YOU'LL OWN DELIVERY OPERATIONS - Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives. - Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations. - Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery. - Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.   OFFERINGS AND REUSABLE ASSETS - Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides. - Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs. - Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.   GOVERNANCE, TOOLING, AND METRICS - Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking. - Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction. - Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking. - Partner with Legal on SOW frameworks and language. _______________________________________________________________________   QUALIFICATIONS - 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles. - Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers. - Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones. - Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies. - Strong structured problem solving, facilitation, and systems thinking, including participation in - Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools) - Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike. - High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.   Preferred Qualifications - Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator. - Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting. - Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase. - Experience building engagements with third-party partners and system integrators within professional services delivery models. _______________________________________________________________________   WHY THIS ROLE Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.   What to Expect in the First 30 Days - Shadow: join scoping calls and review active projects. - Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking. - Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.   What to Expect in the First 60 Days - Manage first customer engagement directly, with support from the existing team. - Identify the highest-priority SOW template gaps for standardization. - Document the current delivery framework as it exists today capturing what's working, and what needs to change.   What to Expect in the First 60 Days - Autonomously managing customer engagements. - Support leadership with quarterly review cycles on active engagements and retrospectives. - Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.   Visa sponsorship: Not available for this role.   ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco; New York Workplace: Hybrid About Alchemy Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE We are hiring a software engineer on the Developer Experience team. You will own projects from the first problem statement through production, and measure whether they worked. The team owns how developers discover, adopt, and operate Alchemy: the dashboard, APIs, SDKs, CLI, and MCP server that sit between our infrastructure and the people building on it. A growing share of those users are coding agents, so we design for both. Recent work spans enterprise controls, management APIs, developer observability, onboarding, and self-serve growth. Ahead of us is the shift to agents that discover tools, write code, pay for services with x402, and operate onchain infrastructure on their own. Our stack: TypeScript, Node.js, React, PostgreSQL, Temporal, Kafka, AWS, and Kubernetes. WHAT YOU WILL WORK ON - Agent-native developer tools: our CLI, SDKs, MCP server, x402 payments, and Agent Wallets. - Enterprise capabilities for teams running production traffic: organizations, roles, SSO, key management, audit history, and spend controls. - Public and management APIs for usage, billing, apps, and teams, used by developers, internal tools, and coding agents. - Developer observability and product quality: usage analytics, request logs, alerts, and the reliability of the surfaces developers use every day. WHAT YOU WILL DO - Own projects from problem definition through design, launch, measurement, and on-call. - Design APIs with clear versioning, error handling, safe defaults, and backwards compatibility. - Build data models and services that stay correct and reliable as traffic and customer needs grow, with security built in for users, agents, and services. - Build the user-facing side of your features across our dashboard, CLI, and SDKs, so developers and coding agents can discover and use them safely. - Instrument what you ship. Use activation, adoption, and conversion data, plus direct developer feedback, to decide what to build next. - Write design docs, runbooks, and developer-facing documentation. Review code and technical designs to keep quality high. - Work with Product, Billing, Security, Growth, and other engineering teams. WHAT SUCCESS LOOKS LIKE At six months, you have: - Execution: Scoped, designed and shipped a project across our APIs, backend services, and dashboard or CLI, and paying customers use it in production. - Ownership: Joined on-call and handled incidents in your area without escalating. Your launches ship with alerts, a runbook and a rollback plan. - Impact: Moved a number you can name, such as feature adoption, free-to-paid upgrades, time to first API call, or support tickets. - Team: Earned the team’s trust by making sound technical decisions, collaborating across functions, and improving code and design quality. - Direction: Proposed what the team should build next, backed by usage data and conversations with developers. HELPFUL EXPERIENCE - Blockchain experience is helpful, not required. - Developer platforms, API products, cloud consoles, or enterprise developer tools, including SDKs, CLIs, MCP servers, agent tools, or machine-readable documentation. - Billing, metering, or pricing systems. - Temporal or another workflow orchestration system, plus caching and analytical data systems. - Observability, incident response, and performance optimization. - Blockchain products or developer tools, or agent payment and identity standards such as x402. - Open source contributions, talks, or technical writing. BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points Manage voice-actor reads and QA spots before they air Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas Track pacing across buys and shift budget as performance data comes in Present results and learnings back to the team on a regular basis Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget Have managed podcast programs in-house directly, not only through an agency Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy Work well across many partner teams and can build repeatable processes that scale Enjoy shaping a program from the ground up rather than maintaining an existing playbook Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience negotiating year-long or multi-format partnerships with top shows or networks A background in copywriting or close collaboration with creative teams on host-read scripts Familiarity with B2B audiences and enterprise-focused podcast buys Experience with podcast measurement, attribution, and incrementality testing Relationships with major audio publishers, networks, and independent hosts Experience extending podcast partnerships into video, social, or live formats Familiarity with AI products or the broader developer and knowledge worker audience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. About the Role As the Engineering Manager for Governance & Access, you will lead the team responsible for building the security, governance, and access capabilities that let Render's customers manage teams, permissions, and environments with confidence as they scale. You'll design these capabilities for a world where agents, not just humans, operate on Render, turning emerging agentic use cases into simple, reusable platform primitives across identity, authorization, credentials, and delegation. The problems span traditional IAM and emerging agent infrastructure, which is what distinguishes this role from a typical security or IAM job. You'll shape the team's structure as much as its roadmap. You'll also join at a formative moment: the team is small, the architectural foundations are still being defined, and the systems you build will become primitives used across millions of users. What You’ll Do - Lead and grow the Governance & Access team - Own the roadmap for governance, identity and access management, roles and permissions, and related compliance and security capabilities - Define how these capabilities extend to agents operating on Render, not only human users - Partner with the dedicated product and design partners already on the team to align roadmap with customer and platform needs - Build a strong hiring and interview process as the team scales, calibrating closely with recruiting and cross-functional partners - Make key technical and architectural decisions for access, identity, and governance systems - Coach and develop engineers, through performance management and career growth - Coordinate with the adjacent Security team and the rest of the Growth and Expansion org as the platform evolves - Balance security, usability, and speed, making pragmatic decisions about where strong guarantees are required and where the team can iterate What We’re Looking For - Strong people leadership - the top priority for this role - Comfort operating in ambiguity, with the flexibility to adapt and grow as the team's scope evolves - Experience building and scaling a team from an early stage - A track record of managing and developing engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience in security, governance, or access management (IAM, RBAC, compliance) - Exposure to building for AI agents or agentic systems - Experience managing senior (IC5-level) engineers - Background in developer platforms or B2B SaaS products This is an opportunity to help define what secure access looks like when software increasingly acts on behalf of people. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Singapore 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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications 15+ years of overall experience selling technology products to enterprise organisations across ANZ market 5+ years of people management experience leading sales teams in the digital native and/or startup segment Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS Experience building a business or team from the ground up in Australia and/or New Zealand Track record across both customer acquisition and account growth Strong network and credibility in the ANZ startup and digital native ecosystem Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications Background at Google, AWS or a similar cloud or SaaS company Experience selling AI, machine learning or developer-focused products Experience co-selling with cloud partners and working with channel Experience hiring and scaling a team through rapid growth Familiarity with the ANZ regulatory and data-privacy landscape Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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. 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 Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Italy; Netherlands; Hungary; Portugal; France; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. Your main goal will be to make it simple and reliable for customers to buy, pay for, and grow their use of n8n. You'll own the foundations of how n8n's commercial system works: licensing and entitlements, customer accounts, and the metering and billing platform for both Cloud and Enterprise. Today these live across several teams and two billing stacks; you'll bring them into one stable home that the rest of the company builds on. This is a foundations role. You build the system that pricing and packaging decisions run on, rather than running price experiments yourself. To do so, here are your core responsibilities: OWN THE LICENSING & BILLING STRATEGY & ROADMAP - Define and communicate the product strategy and roadmap for Licensing & Billing in partnership with Engineering, Product leadership, Finance, and go-to-market. - Prioritize foundational investments based on revenue integrity, enterprise needs, data correctness, and engineering effort, and make trade-offs explicit. - Lead discovery with enterprise customers, Sales, Customer Success, Finance, and RevOps to understand how n8n is bought, renewed, and grown today, and where that breaks. LICENSING, ENTITLEMENTS & ACCOUNTS - Own the license server and entitlement model: issuance, renewal, and validation across Cloud, self-hosted, air-gapped, and OEM deployments, with one source of truth for which plan or deal grants which features. - Introduce "account" as a first-class product primitive (accounts, purchases, license keys, activations) and expose it as the API contract our customer-facing console and multi-instance management are built on. - Productize the deal-to-entitlement flow so a closed deal in Salesforce creates or updates entitlements without manual steps. METERING & BILLING PLATFORM - Own usage metering and billing for Cloud and Enterprise, including subscription billing: what counts as a billable execution, quota consumption, and overage charging. - Lead the migration off Paddle Classic and unify Cloud and Enterprise billing into one platform. - Build the mechanics for usage-based enterprise billing and reliable overage charging. CROSS-ORG ALIGNMENT - Make the architecture and mechanism decisions (entitlement model, billing platform, enterprise invoicing path) and align closely with Finance and go-to-market on each of them. Every decision here touches money; you bring people along rather than inform them afterwards. - Hold clear boundaries with adjacent teams: the customer console, execution limits, and access control live elsewhere; you own the data and mechanics they rely on. - Establish clear success measures and keep the squad accountable for outcomes, not only delivery. REQUIREMENTS Must-haves - Billing or licensing product experience: You have 6+ years in Product, with a substantial part spent owning a billing, licensing, entitlement, or quote-to-cash system at a B2B SaaS company. - Shipped through Finance and RevOps: You've driven a cross-functional systems change where Finance, Sales Ops, and Engineering all had a say, and you got it live. - Systems and data-model depth: You can design or critique an entity model, reason about reconciliation and idempotency in a sync, read an API contract, and explain why two systems reading the same events end up with different numbers. - Attention to detail: You know that if the billing data is wrong, everything built on it inherits the error, and you sequence work accordingly. - Prioritization under ambiguity: You make trade-offs explicit and connect foundational or data-quality work to commercial outcomes. - Ownership and autonomy: You grab problems without being asked, fix what you see broken, and drive outcomes without waiting for direction. - Exceptional communication: You're equally at home with engineers, the Finance team, and Sales, and you can make billing trade-offs legible to all of them. - Enterprise reality: You understand what self-hosted, air-gapped, and OEM deployments mean for licensing and metering. Nice-to-haves - Usage-based billing: You've owned usage-based or hybrid (subscription plus usage) billing. - Vendor billing stacks: You've worked hands-on with Paddle, Stripe, Chargebee, Zuora or similar, and know where they break at enterprise contract volume. - Migration experience: You've run a billing-provider migration. - Hands-on ability: You can read code, query data, or prototype, even if you're not shipping it. - CRM integration: You've worked on Salesforce or CRM-to-billing integrations. - Domain familiarity: You know workflow automation, agent orchestration, or open-source / developer-community products. - Writing culture: You default to writing things down to create clarity and alignment. Why join us? At n8n, you'll be in the middle of the AI revolution. The shift from deterministic automation to agent autonomy is a genuinely open design space, and n8n has a credible claim to owning it. Every plan we sell, every enterprise contract, and every agent run that gets metered and billed runs on the foundation you own: licensing, entitlements, accounts, and the billing platform across Cloud and Enterprise. Your work directly shapes how n8n makes money and how easily customers can buy, grow, and trust what they pay for, from self-serve Cloud to air-gapped and OEM deployments. You'll join one of Europe's fastest growing startups at the sweet spot: small enough to have real impact and be empowered, big enough that your work already reaches massive scale and serious enterprise customers. You'll work with experienced engineers, Finance, and go-to-market on problems where the details are the product, in an AI-native, empowered culture of humble, kind, yet driven and direct people, where you're hired to think, not just to execute. And with our fair-code model, a passionate open-source community gives you a direct feedback loop on everything you ship. Sound like a challenge you're excited to take on? Apply now, and help us build the commercial foundation of the future of reliable AI automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Australia Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes. We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery. You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you. _______________________________________________________________________ WHAT YOU'LL OWN DELIVERY OPERATIONS - Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives. - Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations. - Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery. - Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers. OFFERINGS AND REUSABLE ASSETS - Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides. - Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs. - Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages. GOVERNANCE, TOOLING, AND METRICS - Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking. - Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction. - Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking. - Partner with Legal on SOW frameworks and language. _______________________________________________________________________ QUALIFICATIONS - 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles. - Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers. - Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones. - Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies. - Strong structured problem solving, facilitation, and systems thinking, including participation in - Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools) - Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike. - High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements. Preferred Qualifications - Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator. - Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting. - Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase. - Experience building engagements with third-party partners and system integrators within professional services delivery models. _______________________________________________________________________ WHY THIS ROLE Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters. What to Expect in the First 30 Days - Shadow: join scoping calls and review active projects. - Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking. - Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal. What to Expect in the First 60 Days - Manage first customer engagement directly, with support from the existing team. - Identify the highest-priority SOW template gaps for standardization. - Document the current delivery framework as it exists today capturing what's working, and what needs to change. What to Expect in the First 60 Days - Autonomously managing customer engagements. - Support leadership with quarterly review cycles on active engagements and retrospectives. - Translate process gaps into actionable workstreams with clear owners, timelines, and accountability. Visa sponsorship: Not available for this role. ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. What you will do: - Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. - Investigate how our ML models perform in the real world and compare model assumptions and predictions with actual user and business behavior. Identify gaps between offline model performance and online outcomes and help the team close them. - Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. - Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. - Build dashboards and automated reports that make ML model performance, experiments and key business metrics transparent and easy to understand for technical and non-technical stakeholders. - Act as a bridge between Data Science, Product and Business teams, translating business questions into analytical problems and turning complex ML insights into clear recommendations and decisions. - Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy. - Document your analyses, methodologies and findings and build reusable analytical approaches that can be applied across models and experiments. Who you are: - You have a degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field. - You have 2+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, Data Science or a similar role. Experience in AdTech, mobile apps or ML-driven products is a strong plus. - You have a strong analytical mindset and enjoy digging into data to understand why something happens, not just what happened. - You’re proficient in SQL and comfortable working with large datasets. - You have strong Python skills and are comfortable using them for data analysis and statistical modelling. - You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. - You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. - You have experience working with model and business metrics, and can connect technical model performance to real-world business outcomes. - You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar. - You are comfortable communicating complex analytical findings to both technical and non-technical audiences. Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Moldova; Kosovo; Portugal; Poland; Serbia; Austria; Montenegro; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. Your main goal will be to own the technical success of n8n’s strategic top tier customers, helping them run healthy, scalable, and high-performing environments while maximizing long-term platform adoption. As a trusted technical advisor, you’ll partner closely with customers and internal teams to make sure top tier accounts get the guidance, support, and operational excellence they need to succeed: OWN THE TECHNICAL SUCCESS OF TOP TIER CUSTOMERS - Act as the dedicated technical point of contact for a portfolio of strategic top tier customers. - Lead the technical handoff from Sales Engineering to ensure continuity from implementation into ongoing operations. - Build deep relationships with technical stakeholders, architects, platform owners, and engineering leaders. DRIVE PLATFORM HEALTH, SCALABILITY, AND PERFORMANCE - Continuously assess customer deployments to identify risks around scalability, reliability, performance, and maintainability. - Provide strategic recommendations for platform improvements, upgrades, optimizations, and architectural changes. - Guide customers on automation and workflow best practices when they impact platform performance, reliability, or scalability. MANAGE ESCALATIONS AND OPERATIONAL EXCELLENCE - Oversee technical support intake, issue management, critical incidents, and high-severity support cases. - Coordinate cross-functional responses with Support, Product, Engineering, and Customer Success teams. - Keep customers informed with timely communication, clear resolution plans, and proactive risk management. TURN CUSTOMER INSIGHTS INTO CONTINUOUS IMPROVEMENT - Analyze support activity, recurring issues, usage patterns, and operational risks to drive preventative action plans. - Triage technical product issues, bugs, and feature requests, ensuring feedback is accurately captured internally, and tracking through to completion with product & engineering. - Share structured customer insights with Product and Engineering to improve platform outcomes at scale. - Identify and address technical product gaps surfaced by enterprise customers, from triaging bugs and feature requests to contributing lightweight fixes, workflow improvements, or pull requests where appropriate, partnering with Product and Engineering to get high-impact improvements adopted. REQUIREMENTS MUST-HAVES - 🧭 Technical account leadership: You have strong experience in Technical Account Management, Solutions Architecture, Customer Engineering, Site Reliability Engineering, or a similar customer-facing technical role. - ☁️ Infrastructure and platform expertise: You deeply understand cloud infrastructure, distributed systems, APIs, integrations, and platform operations. - 🔎 Production troubleshooting: You have diagnosed performance, reliability, and scalability challenges in production environments. - 💬 Clear technical communication: You can translate complex technical topics into actionable recommendations for both technical and business stakeholders. - 🤝 Stakeholder management: You’re confident building trust with senior technical stakeholders and aligning internal teams around customer outcomes. - 🔁 Cross-functional collaboration: You have worked closely with Support, Product, Engineering, and Customer Success teams to solve customer challenges. - 🛠️ Strong DevOps and infrastructure experience, including hands-on exposure to Docker, Kubernetes, self-hosted deployments, cloud environments, and the operational considerations needed to run scalable, reliable production systems. NICE-TO-HAVES - 🔧 At least 6 months experience with n8n or similar workflow automation / iPaaS platforms such as Zapier, Make, Node-RED or similar. - 🤖 Familiarity with AI / LLM integrations, agentic workflows, or automation use cases involving AI-enabled business processes. - 🏢 Experience supporting both self-hosted and SaaS enterprise customers, especially in complex or highly regulated environments. - 🧑‍💻 Background working with open-source, developer-first, or technical platform products. - 📈 Previous exposure to scaling customer success or TAM motions in a high-growth SaaS or infrastructure company. - 🤝 Proactive and consultative in approach, with the ability to understand the business impact of technical issues, anticipate upcoming challenges, and stay organised across multiple customer priorities. Why join us? At n8n, you’ll play a key role in shaping how our most strategic customers scale their automation infrastructure with confidence. You’ll be the technical owner for long-term top tier partnerships, working closely with customers and internal teams to improve platform health, reduce operational risk, and turn real-world customer insights into better product outcomes. You’ll join one of Europe’s fastest-growing startups at an exciting stage of growth, with the autonomy to build trusted relationships, influence how we deliver top tier support, and help define what exceptional technical success looks like for enterprise customers. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.