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Location: Berlin Office; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; France; Poland; Germany; Austria; Finland; 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 turn n8n's pricing and packaging into a deliberate, data-informed growth lever - one that scales revenue and adoption across our entire go-to-market, from our 1.5 million-strong community to global Enterprise accounts. To do so, here's what you'll own: BUILD THE ANALYTICAL FOUNDATION FOR PRICING - Build and own the model connecting unit economics, agent run cost, willingness-to-pay, gross margin, and customer value. - Maintain competitive and market intelligence so our pricing keeps pace with a category that's shifting fast. - Run pricing experiments and turn the results into documented, reusable learnings. DESIGN OUR PRICING & PACKAGING ARCHITECTURE - Shape plan design and packaging across our community, self-serve, and Enterprise tiers, plus add-ons like our startup and charity plans. - Design pricing for new SKUs and consumption-based models as our product and cost-to-serve evolve around AI Assistant and n8n Connect. - Build packaging frameworks and decision tools that product teams use directly to launch new features. DRIVE AND ROLL OUT PRICING DECISIONS - Lead cross-functional pricing decision-making and secure buy-in across Product, Sales, Marketing, Finance, RevOps, and Data. - Own the rollout of major pricing changes end-to-end, from decision to launch to measured impact. - Build and own our pricing frameworks: list pricing, discount guardrails, decision rubrics, grandfathering rules, and usage-based billing decisions. Requirements Must-have - 📈 Pricing leadership in B2B SaaS: You have 6+ years in pricing, monetisation, or commercial strategy, including at least one full cycle leading a major pricing model transition — subscription to consumption, seat-based to usage-based, or a platform repricing. - ⚡ Hands-on with modern pricing models: You've personally designed and rolled out consumption-based, outcome-based, or AI-native pricing at a company past $100M ARR. - 🔀 Both self-serve and Enterprise motions: You've owned pricing on both sides of the funnel — self-serve/PLG (activation, conversion, tier design, funnel experimentation) and Enterprise, sales-led (packaging for large accounts, deal economics, discount governance). n8n monetises both, so fluency in one motion only isn't enough. - 🧮 Deep analytical rigour: You build the financial model yourself and reason fluently about unit economics, cost-to-serve, gross margin, willingness-to-pay, and elasticity. - 🔌 Billing fluency, technical and operational: You understand event metering, rating, entitlements, proration, overage, and revenue recognition well enough to design pricing that's actually operable — and you've partnered with a Billing function on invoicing, dunning, true-ups, and disputes. - 🛠️ Empathy for technical users and buyers: You understand where, how, and why developers and technical buyers assign value across a product experience. - 🧩 Frameworks over bottlenecks: You've built packaging frameworks and decision tools that product teams use independently, rather than routing every pricing decision through you. - 🤝 Cross-functional influence: You bring Product, Finance, Sales, Customer Success, Engineering, and Billing into alignment on contentious commercial decisions. - 🧭 Motivated by scope, not headcount: You're energised by owning a global, high-stakes topic as an individual contributor, with analytical support from Data and RevOps and rollout support from Program Management. Nice-to-have - 🎓 Formal pricing training: You've been trained at Simon-Kucher or the pricing practice of another consultancy, and you bring that rigour with you. - 🧑‍💻 Developer tools experience: You've priced products sold to engineers and technical teams. - 🌍 Open source or freemium background: You know how to design pricing that converts a free community into paying customers without breaking trust. WHY JOIN US? At n8n, pricing won't be an afterthought argued about in the margins of someone else's roadmap - it'll be your function to build. You'll be our first dedicated pricing hire, which means low-hanging fruit everywhere and real scope to shape how a $5.2bn company monetises across community, self-serve, and Enterprise, in 100+ countries and across both cloud and self-hosted. You'll work directly with leaders in Product, Sales, Finance, and RevOps, and you'll see your decisions land in our ARR in months, not years. You'll join a supportive, remote-first team that values autonomy, experimentation, and continuous learning. 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.

Location: London Workplace: Hybrid ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production. This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale. In this role, you will - Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation. - Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists. - Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar. - Build evaluation workflows for models in production, using real-world data to track performance and surface issues. - Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like. Who you are - Experience as a Data Scientist, or similar, working with real-world datasets and ML models. - Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation. - Comfortable with Python and SQL for analysis and practical data workflows. - Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions. - Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment. Bonus points - Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection. - Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML. - Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling. - Experience operationalising guidelines with policy or legal teams. Location This role is based in London, where you'll work closely with our AI Safety and Policy teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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.

Baader Bank AG is looking for a C# .NET Software Developer to develop and maintain banking applications and services.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior Compliance Officer to join our team to monitor and ensure compliance with all applicable laws, regulations, and standards. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development. Join the Tigers! What does the job look like? The Senior Compliance Officer will have the opportunity to: Ensure the Company’s operations remain compliant with applicable CySEC regulations, MiFID II requirements, AML frameworks, and other relevant regulatory obligations. Monitor regulatory developments and maintain up-to-date knowledge of changes in legislation, regulations, circulars, and regulatory announcements. Analyse new regulatory requirements and assess their potential impact on the Company’s operations, policies, and procedures. Develop, implement, and maintain a comprehensive Compliance Monitoring Programme. Conduct regular and thorough reviews of the Company’s activities and operations to assess compliance with applicable regulatory requirements. Identify areas of potential or actual non-compliance and work closely with relevant stakeholders to implement appropriate corrective and remedial actions. Develop, coordinate, and oversee the Company’s annual Compliance Risk Assessment. Identify, assess, and monitor key compliance risks and ensure appropriate controls and mitigation measures are implemented. Review, update, and maintain the Company’s compliance policies, procedures, and internal controls to ensure continued regulatory alignment and effectiveness. Prepare, review, and submit regulatory reports and notifications to the relevant regulatory authorities within applicable deadlines ensuring accuracy, completeness and consistency. Investigate and manage compliance-related complaints, issues, and incidents in a timely and effective manner Liaise effectively with internal departments, senior management, auditors, regulators, and external counterparties on compliance and regulatory matters. Provide advice and guidance on compliance and regulatory matters as required. Review and approve marketing and promotional materials to ensure compliance with applicable regulatory requirements and internal policies. Develop and deliver compliance training and awareness initiatives to employees. Promote a strong culture of compliance and regulatory awareness across the Company. What will you need to be able to do the job? University degree in Law, Business, Finance, Risk Management, Accounting, Economics, Mathematics or a related field Holder of the CySEC Advanced and AML Certificates is a must 3+ years of relevant experience in a senior role in compliance within the financial services or investment industry, with a focus on European regulations Extensive knowledge of CySEC regulations, as well as other relevant laws and regulations pertaining to online trading, shares and derivative products across the European region Excellent problem-solving and decision-making skills Ability to work effectively in a fast-paced, dynamic environment Effective communication and interpersonal skills, with fluency in English and Greek By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. What to expect from our recruitment process: First interview with TA and Head of the Department Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Brussels, Belgium We currently have a vacancy for a Full stack Developer (Java) fluent in English, to offer his/her services as an expert who will be based remotely (within EU) . In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Development of back-end website applications; Apply secure development practices, including input validation, authentication and authorisation, secrets management, dependency management, protection against common web vulnerabilities, secure logging, and appropriate handling of sensitive data; Design responsive applications and develop APIs, both REST and SOAP; Writing clean, functional code on the front- and back-end; Write automated unit, integration and where appropriate end-to-end tests; Use application monitoring, structured logging and tracing to diagnose production and non-production issues; Diagnose application, database, integration and performance issues across the full stack; Design applications with appropriate consideration for security, maintainability, observability, scalability and performance; Compile and analyse data, processes, configuration, dependencies and code to troubleshoot problems and identify areas for improvement; Perform unit/integration testing, debug, fix, and validate code changes; Develop and maintain features across the entire stack, from designing user interfaces and consuming APIs to implementing server-side business logic and database interactions. Requirements University degree in IT combined with relevant IT professional experience of at least 12 years; At least 7 years of professional software development experience; At least 5 years of recent hands-on experience developing Java applications with IoC frameworks such as Spring; At least 5 years of recent experience with relational databases and SQL; At least 2 years of recent hands-on experience with a modern JavaScript/TypeScript framework such as Angular; Demonstrated experience developing and integrating REST APIs; Demonstrated experience with CI/CD, Docker and cloud/container-based deployment; At least 2 years of recent experience in which they personally performed full-stack development covering all the elements components above simultaneously; Proven practical experience working within Agile/Scrum or comparable software development methodologies; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (20839/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Yerevan, Armenia; Limassol, Cyprus About Our Client Our client operates in the online trading and investment industry, providing retail clients with access to financial markets and tools to support their trading and investment activities. The company serves customers across multiple international markets and offers opportunities for professional development within a dynamic, fast-growing environment. Job Description Our client is seeking a detail-oriented and commercially aware Payment Solutions Specialist to support the identification, evaluation, onboarding and implementation of Payment Service Providers (PSPs), payment methods and payment capabilities across its brands and markets. Working closely with Commercial, Product, Integrations, Engineering, Treasury, Processing, Compliance, Legal, Risk and external payment partners, you will coordinate the end-to-end onboarding process, maintain accurate provider and implementation information, and help ensure new payment solutions are delivered in line with business, operational and governance requirements. The role also supports market and competitor research, commercial preparation, payment performance reporting, and continuous improvement across the PSP lifecycle. Key Responsibilities 1. PSP Sourcing & Market Intelligence Partner with Commercial and relevant operational teams to understand payment coverage requirements across brands and markets and support the payment solutions roadmap. Research PSPs, payment methods, market developments and competitor offerings, gathering information to support provider evaluation and market-expansion discussions. Conduct initial provider outreach and coordinate information gathering and due-diligence requirements within established approval frameworks. Maintain provider databases, market intelligence and onboarding trackers, escalating relevant new provider opportunities to management. 2. PSP Onboarding, Partner Coordination & Integration Readiness Coordinate PSP onboarding from initial engagement through implementation readiness, ensuring actions, approvals, documentation and dependencies are clearly tracked. Act as the day-to-day coordination point between PSPs and internal stakeholders during onboarding, following up with Legal, Compliance, Treasury, Processing, Product, Integrations and Engineering as required. Maintain complete due-diligence records, onboarding approvals and implementation documentation in line with governance requirements. Support preparation of implementation requirements and coordinate handoffs, readiness activities and milestones through to launch. Identify and resolve routine onboarding or administrative issues and escalate material blockers, risks or stakeholder dependencies promptly. Support post-launch handover and routine partner follow-up by ensuring contacts, agreed actions, operational information and records are complete and current. 3. Commercial Support, Reporting & Payment Performance Support commercial discussions by maintaining provider commercials, contractual information, comparison trackers and negotiation materials. Develop a working understanding of PSP pricing, settlement models, fees and contractual terminology and support contract administration or renewal preparation. Maintain onboarding, implementation and provider-status reporting and support tracking of key measures including solution coverage, payment success rates, settlement coverage and cost efficiency. Maintain relevant payment-performance data repositories and dashboards and support analysis of provider, market or competitor trends where required. Provide clear project and status updates, ensuring reporting is accurate, and material delivery risks are escalated. 4. Governance, Stakeholder Management & Continuous Improvement Follow established PSP onboarding governance, approval workflows, controls and documentation standards and ensure required approvals are completed before progression. Support audit, compliance and governance requests and escalate concerns in line with established processes. Build effective relationships across Commercial, Product, Integrations, Engineering, Treasury, Processing, Compliance, Legal, Risk and external PSP stakeholders. Identify process gaps, recurring administrative issues or inefficiencies and contribute to improvements in PSP onboarding, documentation and stakeholder coordination. Support implementation of process, system or governance changes and communicate progress, actions and dependencies clearly. Key Requirements Essential Education & Experience 3–5 years of relevant experience within a payment provider, payment institution, financial institution or closely related payments environment. University degree in Economics, Accounting, Finance, IT, Project Management, Business or a related field. Practical understanding of payment systems, PSPs, acquiring, payment methods, transaction processing and settlement fundamentals. Experience coordinating provider onboarding, due diligence, implementation activities, partner administration or comparable cross-functional payment projects. Strong fluency in English, both written and spoken; additional language capability is advantageous. Technical Skills Good working knowledge of MS Excel, Word, PowerPoint, and Outlook, with the ability to maintain accurate trackers, reports, and supporting documentation. Ability to understand basic PSP commercials, pricing structures, settlement arrangements, and contractual terminology. Strong research and analytical skills, with the ability to gather, organise and interpret provider, market and competitor information. Strong attention to detail and documentation discipline, particularly across onboarding, approvals, due diligence and implementation tracking. Core Skills & Behaviours Strong organisation and prioritisation skills, with the ability to manage multiple onboarding workstreams, actions and competing deadlines. Clear verbal and written communication skills, with confidence following up with internal stakeholders and external providers to drive actions to completion. Proactive problem-solving approach, with the judgement to resolve routine issues independently and escalate complex, risky or blocked matters appropriately. Collaborative working style and ability to build effective relationships across commercial, operational, technical, legal and compliance stakeholders. Self-motivated, result-oriented and comfortable working in a fast-moving environment with changing priorities. Commitment to following governance, risk, compliance and approval requirements accurately and consistently. Desirable Previous experience within the forex/CFD, fintech or brokerage industry. Exposure to PSP contract administration, corporate administration or provider/vendor management processes. Experience supporting payment integrations or working closely with Product, Engineering or Integrations teams.

Location: Limassol, Cyprus About Our Client Our client operates in the online trading and investment industry, providing retail clients with access to financial markets and tools to support their trading and investment activities. The company serves customers across multiple international markets and offers opportunities for professional development within a dynamic, fast-growing environment. Job Description Role Purpose The Training & Quality Assurance Manager is responsible for designing, implementing, and continuously improving a standardized onboarding, training, and quality assurance framework across the Customer Group. The role ensures all team members, regardless of function, location, or manager, receive consistent knowledge, training, and performance support, enabling them to deliver exceptional customer experiences and perform effectively from day one. This role serves as the central owner of Customer Group knowledge management, onboarding standards, training effectiveness, and quality assurance, ensuring alignment across Customer Service, Sales, Customer Success, Payments, Operations, Client Resolution, and other Customer Group functions. Why This Role Exists The Training & Quality Assurance Manager ensures every employee within the Customer Group receives a consistent onboarding experience, standardized knowledge, and ongoing development support. The role reduces dependence on individual managers for training quality, accelerates employee productivity, improves customer outcomes, and creates a scalable framework that supports growth across multiple markets and functions. Key Responsibilities Training & Onboarding Design and maintain a comprehensive Customer Group onboarding program for all new joiners. Develop structured learning paths tailored to different roles and functions. Deliver onboarding sessions directly or coordinate subject matter experts to provide training. Create and maintain onboarding schedules, certification requirements, and learning assessments. Ensure all employees receive consistent training regardless of location or department. Measure onboarding effectiveness and continuously improve training content based on feedback and performance outcomes. Learning & Development Own and maintain training curricula covering: Company overview, vision, values, and organizational structure. Customer Group operating model and team responsibilities. Products, services, and client proposition. Internal systems and tools. Policies and procedures. Regulatory and compliance requirements. Sales methodologies and customer acquisition approaches. Service excellence standards. Customer communication best practices. Customer lifecycle management. Escalation and issue resolution processes. Information security and data protection requirements. Knowledge Management Create and maintain a central knowledge repository. Ensure training materials, SOPs, policies, and process documentation remain current and accessible. Establish documentation standards across the Customer Group. Partner with functional leaders to capture and document business knowledge. Drive knowledge-sharing initiatives across teams and regions. Quality Assurance Design and manage a Customer Group quality assurance framework. Establish quality standards and assessment criteria across customer-facing functions. Conduct regular quality reviews of customer interactions, processes, and adherence to standards. Identify knowledge gaps, coaching opportunities, and process improvement areas. Provide quality trends, insights, and recommendations to management. Work with team leaders to ensure quality findings are translated into coaching and development plans. Performance & Continuous Improvement Track training effectiveness through performance metrics, quality results, certification outcomes, and employee feedback. Analyze onboarding and quality data to identify trends and improvement opportunities. Recommend process enhancements to improve customer experience and employee performance. Support change management initiatives and ensure training readiness for new products, processes, and systems. Promote a culture of continuous learning and operational excellence across the Customer Group. Key Stakeholder Relationships Customer Service Leadership Sales Leadership Customer Success Teams Payments Teams Operations Teams Client Resolution Teams Compliance & Risk HR & Talent Acquisition Product & Technology Teams Success Measures (KPIs) New joiner onboarding completion rate. New hire time-to-productivity. Certification and assessment pass rates. Quality Assurance scores. SOP and knowledge base adoption rates. Reduction in knowledge-related errors and escalations. Training satisfaction scores. Improvement in customer experience and service quality metrics. Training content accuracy and currency. Key Requirements Skills & Experience Essential 2+ years' experience in Training, Learning & Development, Quality Assurance, Customer Operations, or a related role. Experience within Financial Services and/or FinTech environments. Experience designing and delivering structured onboarding and training programs. Experience developing learning content, SOPs, and knowledge management frameworks. Strong facilitation and presentation skills. Experience conducting quality assessments and coaching programs. Strong stakeholder management and influencing abilities. Excellent written and verbal communication skills. Data-driven mindset with the ability to translate insights into actions. Preferred Experience within Financial Services, Payments, FinTech, or Customer Operations environments. Knowledge of contact center, customer service, sales, and customer success functions. Experience with Learning Management Systems (LMS) and knowledge management platforms. Process improvement or operational excellence experience. Key Competencies Customer Centricity Learning Agility Coaching & Development Process Excellence Attention to Detail Communication & Influencing Collaboration Analytical Thinking Continuous Improvement Mindset Accountability & Ownership Equal Opportunity All applicant information will be handled confidentially in accordance with applicable equal employment opportunity guidelines.

Задачи: - Разработка новых решений (модулей, компонентов) и поддержка уже реализованных решений на базе Битрикс24 с предварительной оценкой задач. - Адаптация собственного продуктового решения под нужды заказчика. - Анализ и багфикс возникающих в ходе эксплуатации портала ошибок. - Обновление портала на базе Битрикс24 и окружения с учётом реализованных доработок. - Отладка и тестирование реализованных решений. Требования: - Опыт full-stack разработки. - Уверенное владение PHP 7/8. - Опыт работы с MySQL. - Знание и понимание принципов объектно-ориентированного программирования. - Знание HTML, CSS. - Знание JavaScript, включая опыт работы с JS-библиотекой Битрикс и опыт работы с Vue.js. - Опыт работы с системой контроля версий Git. - Опыт использования Composer. - Знание Bitrix Framework, включая D7 и ORM. - Умение работать в Linux-консоли. - Знакомство с Bitrix Env. - Знание английского языка на уровне чтения технической документации. - Использование AI-ассистентов в процессе разработки. - Будет плюсом: сертификаты по Битрикс24.

-Опыт работы с java от 5 лет. -Уверенные знания основных современных концепций и принципов разработки на платформе Java.

-Профильный опыт работы 3-5 лет.

-Писать программный код на языке Java с использованием лучших практик. -Определять оптимальные подходы и технологии для реализации текущих задач.

Location: Amsterdam Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: €110,000-€185,000 base salary + equity Location: - Netherlands, Amsterdam - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: £100,000-£165,000 base salary + equity Location: - UK, London - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them. KEY RESPONSIBILITIES: - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance. - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements. - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly. - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment. - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology. REQUIREMENTS: - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus. - 2+ years of hands-on experience building and shipping production agent systems. - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs). - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory). - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems. - Comfortable operating across the full spectrum from advisory to embedded delivery. - Willing to travel up to 20% of the time. NICE TO HAVE: - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL. - Experience with trace mining to drive continuous improvement loops COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns. You'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams. WHAT YOU'LL OWN: REGIONAL DEMAND STRATEGY AND PIPELINE: - Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return - Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market - Decide how the regional demand budget gets allocated for localized programs. FULL-FUNNEL PROGRAM EXECUTION: You'll own the whole mix for the region and be hands-on in all of it: - Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts - Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps - Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different - Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone. CROSS-FUNCTIONAL PARTNERSHIP: - Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline. - Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team. - Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days. - Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility. WHAT WE'RE LOOKING FOR: - 7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS - Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't - You've personally run paid, webinars, lifecycle, and ABM - You write the copy, build the landing page, pull the report, and launch the campaign - Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script - Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number - Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits - Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev http://Reo.dev, and Clay - Comfortable with ambiguity and true ownership COMPENSATION: £95,000-£125,000 base salary + equity Location: - UK, London or The Netherlands, Amsterdam Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: Hybrid ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Deal Strategy & Operations Lead to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong analytical skills, attention to detail, and the ability to balance business flexibility with financial discipline. This is an excellent opportunity to gain exposure to the full revenue lifecycle while directly impacting our ability to close deals quickly. WHAT YOU’LL DO: - Own the deal strategy across our EMEA sales team - Quarterback non-standard deals through the contracting cycle & internal approval processes in collaboration with the appropriate cross-functional teams (Sales Leadership, Legal, Accounting, Billing, Product, etc.) to ensure that all deals align with business strategies and guidelines - Master and help evolve deal policies, including contract terms, pricing & packaging, contractual requirements, etc. - Partner with Account Executives on forming deals, and help translate deal structures to Order Forms for complex deals in partnership with Commercial Legal - Create operational processes, process documentation, and enable Sales Teams on best practices, tools, and workflows to ensure effective deal execution - Monitor and ensure that internal requests are addressed thoughtfully and with urgency How to be successful in this role: - 8+ years of experience in Deal Operations, Deal Desk, or Sales Operations - A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (Sales, RevOps, Legal, Finance, etc.) to achieve common goals - Experience operating across EMEA markets, including fluency with multi-currency workflows, regional compliance considerations, and the varying enterprise sales cycles and procurement norms across EMEA geographies. - Experience working with consumption-based or usage-based pricing models, including structuring deals, managing overage conversations, and ensuring accurate configuration and compliance within CPQ and order form workflows. - Detail-oriented, excellent written and verbal communication skills with the ability to identify areas of improvement and propose necessary changes - Strong analytical skills, with a focus on data-driven decision-making to equip the business in a strategic manner and communicate big picture opportunities - Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment - You are skilled at prioritization, effectively balancing urgent support requests with long-term project work. - Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. COMPENSATION: £110,000-£140,000 base salary + equity Location: - UK, London Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.