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About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses 'go beyond'. The word 'Pleo' actually means 'more than you'd expect', and living by that mantra has been the secret to our success over the last 10 years. Now, we're at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can't say we've got this whole thing figured out. And frankly, that's half the fun! What we can say is that we're a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role This is a senior individual contributor role in our Data Services & Governance team where you'll act as the thought and technical leader owning the semantic layer and analytics standards for Pleo. This means that you won't own a domain but you'll own what good looks like across all of them by developing, improving , maintaining and evangelising our modelling standards and AI-augmented development practices that every Analytics Engineer work with, regardless of which team they sit in. The semantic layer you will be designing and maintaining will be the single source of truth that AI agents, BI tools, and analysts query. This is foundational work with company-wide reach which will be ideal for you if you enjoy building things from the ground up. Our semantic layer is still in very early stage. Tooling selection is live, and this role has a strong voice in it. Our BI stack is also in transition so, you would not be inheriting a mature setup and maintaining it. You'd be deciding what it should be, then building it. For additional context, our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot. Who you'll work with You'll report to the Data Engineering Manager who oversees the Data Infra & MLOps team as well as the Data Services & Governance team. Your primary relationship will be with Analytics Engineers embedded across the Intelligence function who should come to you for architecture guidance, semantic layer decisions, and standards questions. You will also partner with a Staff Data Engineer on data engineering standards and pipeline practices, and with others on self-serve analytics and BI tooling governance. You'll engage with the Data Serving team on entity definitions and with the GenAI Platform team on what AI-ready data looks like at the platform boundary. What you'll be doing Own the semantic layer: define what a metric definition is, how it's structured, where it lives, and how it's enforced. The goal is one canonical definition of Monthly recurring revenue (MRR), churn, transaction, customer - used by analysts, BI tools, and AI tools without divergence. You make that real, not aspirational. Set data modelling standards for the function: what clean, layered, well-tested dbt architecture looks like across all domains, at all levels of complexity. Build and run the Analytics Engineering community of practice including code reviews, shared patterns, documentation, onboarding etc. The goal is to create a social infrastructure that makes standards stick. Own the AI-native development practice. Use AI coding tools as a native part of how you write, review, and migrate data models (not as a demonstration, but as your actual workflow). Evaluate what works in a governed data engineering context, what introduces risk, and shape how the Analytics Engineering community adopts it. Lead responsible AI-augmented migration work using AI tooling to accelerate data modelling and migrations across the Analytics Warehouse and Operational Data Platform. Design data models and metric definitions in a documented and structured manner enabling reliable consumption by AI services without human intervention. Engage upstream with backend and product engineers to drive data contract discipline and schema ownership upstream, rather than managing inconsistency downstream. Contribute to Data & AI Products for external customer-facing analytics where data modelling patterns and conversational analytics needs and capabilities grow. What you bring Deep demonstrated expertise in dbt and modelling practices: not just strong modelling, but a formed view of what modelling architecture should look like across a function. You can defend trade-offs, teach them, and enforce them in teams you don't manage. Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains. Real experience owning a semantic layer (LookML, dbt MetricFlow, or equivalent). You have a point of view on what metric consistency should look like at scale, what breaks when it doesn't, and how to design it so AI tooling can consume it without degrading trust. AI-native development practice in a data engineering context. You use AI coding tools (Claude Code, GitHub Copilot, or equivalent) as a genuine part of how you work, and you can be specific about where they add real value and where they introduce risk in a governed analytics codebase. A track record of setting standards across teams you don't directly manage and making them stick by leveraging effective influencing techniques as opposed to relying on authority. Understanding of what LLMs and agentic tools need from a data layer such as how to model data, write documentation, and define metrics so that AI tools get consistent answers at runtime. Proven experience engaging credibly with backend engineers on data contracts and with senior stakeholders on what the semantic layer strategy means for the business. Why this role is a good fit for you This role is a good fit if: You can hold a standard without needing it applied perfectly, and you know which compromises are fatal and which are just untidy. You genuinely enjoy growing a community of practice through influence rather than authority and you take pride in seeing colleagues adopt and grow standards. You find the "how do we make data legible to an agent, not just to an analyst" problem interesting in its own right, rather than as a trend to keep up with. This role is not a good fit if You want to own a domain. The Intelligence teams have strong AEs doing that. This role is for someone who wants to own the standards they build to. You advise others to use AI coding tools but don't use them yourself. AI-native development is part of the mandate, not a differentiating nice-to-have. You are more comfortable being consulted than being accountable. The semantic layer and modelling standards you set have downstream consequences across the whole function and in AI features customers use. Your first 6 months By the end of your first six months, you'll have: Mapped the current state of modelling standards and the semantic layer across the function (where definitions are consistent, where they diverge, and what the highest-impact gaps are) to draft a plan the function has bought into. Contributed to the semantic layer tooling decision and begun onboarding the Analytics Engineers who'll build to it by writing documentation, running live sessions, reviewing PRs etc. Established a visible presence in the AE community of practice and become someone whose feedback in code reviews and whose opinions on architecture are listened to because they've been demonstrated, not just stated. Run your own workflow on AI coding tooling to the point where you can say clearly what the function should adopt, what it should not, and why. The interview process We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background. Core skills test: A technical test you'll be taking through an external platform to showcase your grasp of analytics engineering fundamentals. Hiring Manager interview: A 60-minute conversation-based interview aimed at deep diving into your previous experience and learning more about the team. Pleo Challenge: A live practical and technical interview designed to assess your problem solving skills as well as your technical expertise. Final interview: A 45-minutes interview with one of our senior leaders, focusing on assessing behavioural skills and values alignment. Transparency is important to us so we also wanted to share some insights about what we're looking for in applications to ensure you can set yourself up for success! With this in mind, we want to help you understand what we really care about when reviewing your application: We receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it's a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you—not AI—know from your previous experience. A top tip from us is to use the "Achieved X, as measured by Y, by doing Z" formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you've worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background. Every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. This is a Staff level role at Pleo. This means it's a very senior position where you need to demonstrate experience leading technical initiatives that can have organisation-wide or cross-team impact for a tech business of 500-1000+ people. Prior experience owning a semantic layer is also a non-negotiable. Make sure your application reflects this. About your application English first. Since it's our company language, please submit your application in English. You'll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can't pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email ----- We'll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here . Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you're applying for the same role again, please wait six months from your last decision before hitting submit. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About BeReal At BeReal, we are dedicated to authenticity in social media. By encouraging users to share unfiltered moments, we foster genuine connections and celebrate real life. We are now an international team of 70+ and have 40M+ monthly active users. Backed by Voodoo, our team is fully focused on scaling BeReal into an iconic social network used by hundreds of millions. Role We are looking for a talented iOS Engineer to join our Monetization team, where you will focus on building and optimizing revenue-generating features while maintaining the authentic experience that makes BeReal special. You will be responsible for: Designing, implementing, and maintaining scalable iOS monetization features (ads formats, sponsored content, premium features) in a fast-paced, high-impact environment. Collaborating with cross-functional teams (designers, product managers, data analysts, backend engineers, adOps team) to build innovative monetization solutions that respect user experience. Building the bridge between advertisers/partners and our users, ensuring monetization feels native and non-intrusive. Optimizing performance and stability of monetization features to ensure seamless integration with the core BeReal experience. Analyzing user behavior, A/B tests results, and business metrics to iterate on monetization strategies. Ensuring a high-quality, authentic user experience through thoughtful technical solutions. Contributing to and upholding best practices in code quality, design, and development processes. Continuously innovating and improving the iOS tech stack (Swift, SwiftUI). You'll work alongside AI tools that amplify your creativity and streamline your day-to-day. Profile Strong iOS programming skills (5+ years experience). Solid knowledge in Swift, SwiftUI and UIKit. Familiarity with Clean Architecture principles and separation of concerns. Experience building monetization features, ads products, or consumer-facing products is a strong plus. Ability to understand and debug large, complex codebases. Product mindset with a strong passion for clean interfaces, smooth animations, and interactions. Interest for analytics and data-first mindset to measure impact and iterate. Strong understanding of user experience and ability to balance business goals with product quality. You're highly driven, autonomous, and results oriented. Be fluent in English (French is a plus). Our Stack Use the following predefined list: iOS: Swift, Combine, SwiftUI, SPM, Swift Concurrency, MVVM Ops: Github. Android: Kotlin, Compose, Coroutines, Room, gRPC. Backend: Go, Node.js (NestJS, Nx, Typescript). Database: Spanner, PostgreSQL, Redis. Infrastructure: GCP, GKE, Firebase. Data: Amplitude, Tableau. Benefits Competitive salary based on experience Swile Lunch voucher Gymlib (100% covered by Voodoo) Premium healthcare coverage with SideCare, 100% covered for you and your family Wellness activities in our Paris office Remote days on Fridays Find more English Speaking Jobs in France on Arbeitnow

Join our expanding Mobility engineering team! We're actively recruiting a Senior Backend Engineer as M-KOPA Mobility, our fast-growing e-mobility business, which has a 3x year-on-year growth rate! Build the event-driven microservices that power clean, affordable transport for riders and entrepreneurs across Africa, with AI tools like Claude Code alongside you. Because Mobility is scaling quickly, an entrepreneurial spirit will serve you well: you'll enjoy building in a fast-growing business and taking real ownership. The Impact – Africa's transport sector is massive, underserved, and at an inflection point, and the shift to electric is accelerating, led by East Africa. Your code will directly power the technology behind Kenya's leading e-mobility financing platform. M-KOPA has already served over 7 million customers and unlocked more than $2 billion in credit. In Mobility, we've financed over 11,000 electric motorbikes, helping riders save more than $3 a day and cutting air pollution by 90%. It's your chance to build tech for a business that's literally transforming lives across an entire continent 🌍 The Opportunity 🚀 Scale challenges: M-KOPA Mobility is growing 3x year-on-year as its own fast-scaling business, with over 11,000 e-motorbikes financed and demand climbing. As it grows, so do the opportunities to expand your scope, your impact and your career 🎯 Mission-driven engineering: Every service you build helps put clean transport within reach of riders who'd otherwise be locked out of ownership 🏆 Global recognition: Join a company named by the Financial Times as one of Africa's fastest-growing for 5 consecutive years (2022–2026) 🌱 Environmental impact: Electric is simply better for drivers, cities and the planet. Our e-motorbikes cut air pollution by 90% versus petrol equivalents What You'll Do At M-KOPA, you'll build sophisticated event-driven microservices with real-world impact. Our engineering teams own their solutions end-to-end, from architecture decisions to production monitoring, using AI coding tools like Claude Code to move faster along the way. Join us in combining cutting-edge .NET development with purpose-driven engineering that makes digital and financial inclusion possible across Africa. Technical Environment 💻 Languages & frameworks: C#/.NET Cloud: We work in Azure, and welcome experience across AWS or GCP Architecture: Event-driven systems and microservice development. We use Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ Infrastructure: Kubernetes, Docker Observability: Prometheus, Grafana Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery AI tooling: We use AI coding tools, including Claude Code, as part of our engineering workflow Our Engineering Approach 🚀 As an engineer, you'll work as a collaborator. More senior members will coach and contribute, placing an emphasis on: High quality output Observability and monitoring Automated testing in all environments, including production Infrastructure as code and DevOps practices AI-assisted development with tools like Claude Code What You Need We expect you to be comfortable working as part of a team that owns the entire software stack, including supporting infrastructure, throughout the software lifecycle, from inception through production to decommissioning, under a DevOps culture. You'll value the constraints that continuous delivery places upon engineering processes and embrace testing and observability as first-order concerns in development. Required Experience: Strong grasp of C# .NET development Experience with event-driven systems: Service Bus or similar messaging technologies such as Kafka or RabbitMQ Microservices architecture experience Experience with Azure, or other major cloud providers such as AWS or GCP Familiarity with containerisation and orchestration tools (Kubernetes, Docker) Experience with observability tools such as Prometheus and Grafana Testing and deployment expertise DevOps culture mindset Experience working with AI coding tools, ideally Claude Code or similar Location & Benefits Permanent role - Benefits Package include Bonus, Growth Shares & On-Call allowance Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programs and coaching partnerships Family-friendly policies and flexible working arrangements Well-being support and career growth opportunities Our Mission 🌍 We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model, with M-KOPA Mobility extending that same model to clean transport. We strive to drive greater inclusion of women, youth, and low-income communities. Our Impact 💚 Connected 📱: 6 million smartphone customers, 2.5 million first-time smartphone users Prosperous 💰: 70% of customers use their M-KOPA product for income generation, with 35,000+ livelihoods created for agents Green 🌱: 11,000+ e-motorbikes financed, growing 3x year-on-year, cutting air pollution by 90% and helping riders save more than $3 a day Ready to build C# .NET solutions that put clean, affordable transport within reach of Every Day Earners, while advancing your career in modern, AI-powered backend engineering? Apply now to join our mission of transforming lives across Africa through technology. Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility. Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com . Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC's World's Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya. Important Notice M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references. 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Join our expanding engineering team! We're hiring a permanent Senior Backend Engineer to join our Asset Sales group as we scale one of the most important parts of M-KOPA's FinTech platform. Build distributed, event-driven microservices and help shape what AI-native engineering looks like at M-KOPA. The Impact 💚 Your code will directly power the systems that put smartphones and e-motorbikes into the hands of Every Day Earners across Africa. We've already helped over 10 million customers access more than $2 billion in credit. It's your chance to be part of something that's literally transforming lives across an entire continent 🌍 The Opportunity 🎯 Mission-driven engineering : Every service you build helps expand financial inclusion for under-banked populations 🏆 Global recognition : Join a company named by the Financial Times as one of Africa's fastest-growing companies for five consecutive years (2022–2026) 🚀 Scale challenges : Build backend systems serving millions across multiple African markets 🤖 AI-native from day one : We're actively embracing AI as part of the engineering craft, not bolting it on 🌍 Fully distributed : Work remotely with diverse teams across UK, Europe, and Africa What You'll Do At M-KOPA, you'll build and operate distributed C# and .NET microservices on Azure, working within an event-driven architecture at significant scale. This is an outcomes-driven role: we care far more about the value you create than where you sit or how many hours you're online. You'll own what you build end-to-end — from idea, through implementation and deployment, into production and iteration. Technical Environment 💻 Modern C# stack : Distributed C# and .NET microservices Cloud & orchestration : Hosted on Azure using Kubernetes Architecture : Event-driven, supporting products used at significant scale Observability : Grafana, Azure Application Insights, logs, traces, and metrics AI tooling : Claude and other AI tools used throughout the engineering workflow — design exploration, code generation and review, test writing, incident investigation, and technical communication Our Engineering Approach 🚀 AI-native engineering : We want engineers who tinker — experimenting with new tools, agents, and workflows, and sharing what works Guardrails as we accelerate : Automated tests, SLOs, alerting, observability, and deployment safeguards around everything we ship Own it beyond the pull request : Design for idempotency, retries, out-of-order events, and failure modes, and know how your services behave in production The Campfire Rule : Leave the systems you touch a little better than you found them On-call as feedback, not heroics : Engineers who build our systems also help operate them, using incidents to make the platform more resilient What You Need We're looking for a senior engineer who's curious, autonomous, and highly trusted. You're comfortable owning the entire software stack — including supporting infrastructure — throughout its lifecycle, and you see production data, not just deployment, as the real measure of "done." Required Experience: Strong grasp of C# and .NET development Experience with event-driven systems - We use Azure Service Bus, but would love to hear from you if you have experience with similar messaging technology (Kafka, RabbitMQ, etc.) Microservices architecture experience, ideally on Azure and Kubernetes Experience using observability tooling (e.g. Grafana, Application Insights) to understand production behaviour Comfort using AI tools as part of a daily engineering workflow (design, code review, testing, incident investigation) DevOps culture mindset, including on-call/production ownership Proven ability to collaborate effectively in distributed teams across time zones Continuous learning mindset and openness to feedback Location & Benefits Fully remote role, collaborating during core GMT working hours Benefits package, which includes Bonus, Growth Shares & On-Call Allowance Work with diverse teams distributed across UK, Europe, and Africa Personalised training budget to support your development Home office setup budget Professional development programs and coaching partnerships Family-friendly policies and flexible working arrangements Well-being support and career growth opportunities Our Mission 🌍 We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities. Our Impact 💚 Our technology has created measurable change: Connected 📱 : 2.5 million first-time smartphone users connected Prosperous 💰 : 70% of customers use M-KOPA products for income generation, with 35,000 livelihoods created for agents Green 🌱 : 2.155 million tonnes of CO₂ avoided since 2010 through clean energy, refurbished devices, and e-mobility Ready to build C#/.NET systems — with AI as part of your craft — that create real-world financial inclusion? Apply Now! Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility. Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com . Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC's World's Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya. Important Notice M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references. 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About DualEntry DualEntry is building the OS for finance. Every business needs a financial system of record, yet the world's largest fintech market ($220B+) still runs on software from the 1990s. DualEntry's AI-native ERP automates accounting from data entry to close, so finance teams move faster, spend less and incur less risk. In just 2 years we've raised $100M+ from Lightspeed, Khosla Ventures, Contrary and Google Ventures and earned the trust of customers from $5M ARR to publicly traded companies. We hire outliers - people who have achieved difficult things, in their careers or beyond. You'll find leaders, colleagues who've competed at the highest levels of sport, performed on Broadway, trained with UFC champions and founded the country's largest Python community. Where You'll Create Impact Build! Design backend systems and APIs (Python preferred) that run real-time, business-critical accounting logic Ship features end to end - architecture, CI/CD, testing, monitoring, and beyond Integrate third-party tools and external systems, proactively managing edge cases and risk What Sets You Up for Success Hardcore work ethic and high agency 5+ years in backend engineering (language agnostic) Deep experience with complex business logic products Strong database skills: PostgreSQL, SQL, ORMs, migrations, schema design Experience deploying on AWS (or similar), with solid CI/CD and production-readiness fundamentals Bonus: Python and a modern web framework (FastAPI, Flask, or Django) Why You'll Thrive Here Significant equity ownership in one of the top AI companies in the world You're joining early and will grow with DualEntry Your feedback shapes the product directly High-speed, high-trust environment with high expectations Meet the Engineering Team Ignacio shaped the baseline of our integration framework from scratch in a single weekend, then spent most weekends - while coordinating the team - shipping what was never on the roadmap: webhooks, a search engine for millions of transactions, and Puma itself. Pure initiative, compounding. Marcin took a non-existent tax structure and built it end to end, setting the north star for how the team keeps improving it on top of it; modular and robust, always setting the bar for the rest. Puhiza grew her team from one to full capacity, while owning our integration framework end to end; scaling it to support migrations, integrations, and bank connections. The queen of I/O on our platform. Danylo took ownership of our bank connection engine end to end and rebuilt it from scratch. How You Operate Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability - we use Postgres until it breaks Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three' - Jeff Bezos. Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems Fast-moving: you deploy daily, iterate quickly, and never wait for permission Benefits & Compensation Equity: £40,000 - £70,000 Base salary: £130,000 - £220,000 Private medical insurance through Freedom Elite Mental health support (Talkspace) Fertility support (Carrot) Group life insurance (Allianz) Workplace pension through Penfold (with salary sacrifice option) Flexible PTO (28 days, including public holidays) Home internet, co-working space & office setup support Unlimited AI token usage AI skills development & enablement Learning & development budget for courses, certifications & language learning Visa sponsorship and relocation support for a move to NYC (after 2 years' tenure) In-person team meetups (our last ones: Lisbon, Vienna, Warsaw, Cyprus and more!) "Join us to fix the boring, think the hard, and build the impossible, so we become the most robust engineering platform for accounting the world has ever seen." Ignacio Brasca , Head of Engineering at DualEntry Compensation: £130K – £220K • £40K – £70K Equity • £130K – £220K • £40K – £70K Equity Find Jobs in United Kingdom on Arbeitnow

Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe's leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position As a Lead Backend Engineer in the Service Standards team, you will shape how services are built, deployed, and operated across all of Vinted. You will work closely with a team on the development of our core service framework—providing engineering teams with golden paths, robust service contracts, standardized tooling, and performance benchmarks to ensure high reliability and developer velocity at scale. You will sit in the Service Standards team, part of the Service Ecosystem domain, reporting to the Engineering Manager of that team. The Service Standards team is responsible for standardizing service startup, consumer APIs, and foundational backend frameworks across Vinted's engineering landscape. Within it, this is a senior individual-contributor role combining technical leadership with high autonomy—you will define architectural directions, establish best practices, and guide engineers across domains without requiring full management overhead. You will collaborate closely with platform, observability, and product engineering teams to ensure our service framework and standards seamlessly integrate into daily workflows. Your work will directly impact developer experience, platform reliability, and system performance as Vinted continues to scale. In this position, you'll Lead the technical direction and design around service standards and golden paths. Define and evolve company-wide service standards, including consumer APIs, service contracts, startup routines, and performance guidelines. Build reusable backend libraries, tools, and scaffolding to streamline new service creation and maintenance. Partner with backend engineers across domains to drive adoption of framework updates and gather continuous feedback. Evaluate pragmatic trade-offs between architectural consistency, delivery speed, and technical debt across the platform. Collaborate with Observability and Infrastructure teams to integrate telemetry, SLOs, and resilience practices into standard service templates. Ensure security, privacy, and compliance guidelines are embedded directly into service contracts and framework templates. Mentor senior backend engineers, participate in architectural design reviews, and foster high engineering standards across teams. Drive architectural proposals (RFCs/ADRs) for platform-wide backend standardization. About you Have deep backend engineering experience and strong architectural intuition, with proven success building scalable services and frameworks. Demonstrate a track record of driving cross-team technical alignment and leading complex initiatives across multiple engineering groups. Possess expert knowledge in designing API contracts, service startup patterns, and performance optimization. Understand trade-offs in platform design and know how to build golden paths that engineers love to use. Communicate technical vision and architectural choices clearly to both technical leads and engineering leadership. Enjoy mentoring engineers, conducting design reviews, and sharing best practices to level up the backend engineering community. Work perks The opportunity to benefit from our share options programme 25 days of paid annual leave Newest MacBook models Confidential Employee Assistance Program (EAP) for you and your family Frequent team-building events Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Lunch benefit per working day A personal monthly budget for shopping on Vinted Collective Defined Contribution Pension plan NS Business Card for your commute to the office by public transport Company bike leasing scheme Monthly budget for a flexible benefits platform Work from Home allowance A dog-friendly office Working at Vinted Workation policy Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time. Individual learning budget Each year, you'll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development. Hybrid work Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person. Equal opportunity We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you're excited about a role, but don't identify with every point in the 'About you' section, apply anyway – you might still be the perfect match! The annual gross salary range for this position excluding 8% holiday pay is: €93.500 — €126.500 EUR Find Jobs in Netherlands on Arbeitnow

About Stream Stream powers real-time Chat , Video , Activity Feeds , and AI Moderation for more than 1 billion end users across 4,000+ apps, from Strava and Bumble to eBay and Patreon. Our platform processes billions of API requests per month and supports applications with millions of concurrent users, while delivering highly reliable, low-latency services and a great developer experience. The role We're looking for a Staff Backend Engineer to join Stream on our mission of elevating the quality of apps for billions of users globally. You'll own the technical direction of Stream Video's media plane and the infrastructure it runs on. This is a full-time role, hybrid with 3 days a week in our Amsterdam office, or remote from anywhere in the EU. What you'll work on Stream Video runs on an SFU we built in Go on top of Pion, plus ingest and recording fleets, all on a global edge network we own across more than one cloud. Nobody at Stream has owned this media plane end to end before. Our central infrastructure team is tuned for request-based services, and video breaks in different ways: live sessions can't be dropped, bandwidth is the biggest cost, and placement is the main lever. That's why this is a Staff role. You'll set the direction for the video backend and its infrastructure with your own roadmap, reporting to our Director of Engineering with a direct line to our CTO. The Video SDK teams own the client side, and you'll work closely with them and with infrastructure. Part of the fleet is mid-move to Kubernetes. Job responsibilities: Architecture: write the architecture and roadmap for Stream Video's backend and media infrastructure, and decide what ships. Scale livestreaming: architect the SFU and media pipeline (WHIP, WHEP, RTMP, SRT, HLS, SVC), including the path from WebRTC to CDN-backed HLS for very large audiences. Own the fleet: reliability, autoscaling, placement, rollouts, observability and cost for long-lived sessions across clouds, with cost per gigabyte as a first-class metric. Gate production changes: define the validation that decides which changes, including AI-generated ones, reach live media, using behaviour tests on realistic networks, nightly telemetry scans and a public quality benchmark. Take the final escalation: handle the hardest quality, latency and production incidents, and work with enterprise customers on advanced integrations. Raise the bar: mentor senior engineers through design review, code review and hiring. About you You've owned systems where a dropped session or a bad rollout is visible to users within seconds, and you think about cost and reliability as much as features. You'd rather write the hard design doc than wait for one. A founder background is an asset here. The team is small, so you'll still write and review plenty of code. If you're looking for a large organisation with a platform team to hand problems to, or a management track, this role won't suit you. You have: Extensive backend engineering experience, including significant time owning architecture for high-scale production systems Expert proficiency in Go or an equivalent systems language (Rust, C++, Java) A track record owning real-time, stateful or latency-sensitive systems at very high scale Deep knowledge of distributed systems and networking: failure modes, placement, capacity planning and cost Strong experience with real-time media or streaming: WebRTC, SFU/MCU concepts, RTP/RTCP, DTLS, or RTMP, SRT and HLS Clear written communication: design docs and RFCs that others can act on Hands-on experience adopting AI coding and agent tools, and judgement on how to make them safe in production Bonus points: Built or operated an SFU, or contributed to Pion or another WebRTC stack Moved a stateful fleet to Kubernetes, or ran media workloads across more than one cloud Knowledge of bandwidth estimation, congestion control, simulcast, SVC and codecs (Opus, VP8/VP9, AV1) CockroachDB/PostgreSQL, RocksDB, Raft and Redis at scale Experience at developer tooling, API or SDK companies Founder or early-stage startup experience building real-time products Python or Rust alongside Go Conference talks, technical writing or notable open-source work in real-time media What makes this role exciting Scope: the infrastructure direction for video is yours to run as a product, with the authority to decide what ships. Impact: Video is Stream's most complex product, and many customers run it alongside Chat, Feeds and Moderation, so this work matters across the company. Stack: Go, Pion, WebRTC, WHIP/WHEP, RTMP, SRT, HLS, Protobuf, CockroachDB/Postgres, RocksDB, Raft and Redis, with Claude, Cursor and ChatGPT Codex in daily use. Starting point: a concrete first 90 days. Ship a validation gate on every infrastructure change that reaches production media, and move part of the fleet to Kubernetes with a cost-per-gigabyte number attached. Why join Stream? We're a Series B company with offices in Boulder, Amsterdam, Skopje and Toronto, and a team of 140+ people from 37 nationalities. We're backed by Felicis Ventures, GGV Capital, 01 Advisors, Techstars, and Arthur Ventures, with angels including Dick Costolo (ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (co-founder of GitHub), and Nicolas Dessaigne (co-founder of Algolia). We'll be straight with you: a startup is more demanding than a large company. There's no fixed playbook, you'll own things end to end, and you'll sometimes pick up work outside your title. That's also what makes it a fast place to grow. If you want real ownership and high scale more than structure and a set career ladder, you'll feel at home here. What we offer Company equity 28 days paid time off plus Dutch public holidays Pension plan with a company contribution NS Business Card or a company bike, covered Personal development budget of EUR 500 per year Catered lunches in the office MacBook Pro Up to EUR 60 a month toward a gym or sports club membership of your choice Highly skilled migrant (kennismigrant) visa sponsorship and relocation support if you're moving to Amsterdam This list applies to Netherlands-based employees and is adjusted to your location of residence. If you work remotely from another EU country, you'll be employed through our Employer of Record partner and get company equity plus local benefits depending on your country of employment. Our culture Stream is a casual, transparent team that aims high and supports each other. In engineering, we care about ownership and quality, and our goal is to ship stable software. Management stays hands-on, with less middle management and more time spent doing the work. If that sounds like the environment you want next, apply now. Stream is an equal opportunity employer. We hire on skills and experience, and we don't discriminate based on age, sex, gender identity or expression, sexual orientation, ethnicity, nationality, religion or belief, political opinion, disability or chronic illness, marital status, working hours, type of contract, or any other characteristic protected by law. If you need an adjustment at any point in our hiring process, let us know. Hybrid office policy: applicants based (or relocating to) one of our office locations are expected to work according to the applicable local office attendance policy. Equal opportunity employer statement: Stream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Note for external recruiters: We currently have this role covered and do not accept unsolicited agency resumes. We are not responsible for any fees related to unsolicited resumes. 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We?re Hiring: Office ManagerJoin the Team at Country Dental Cambridge Country Dental Cambridge is growing, and we?re looking for an experienced and motivated Office Manager to join our team! We are a comprehensive dental practice offering a wide range of services, including: Orthodontics Cosmetic Dentistry Root Canal Therapy Pediatric Dentistry Sleep Dentistry Periodontics Dental Implants Oral Surgery And much more! As our Office Manager, you?ll play an important role in the day-to-day success of our practice. We?re looking for a confident, organized, and people-focused leader who can support our team, maintain an efficient office, and ensure every patient has an exceptional experience. What We Offer Competitive Compensation based on experience Professional Development through in-house training, courses, and continued education Employee Benefits, including a Health Spending Account A supportive and collaborative team environment Opportunities to grow and advance within a busy, multi-service dental practice Key Responsibilities As Office Manager, you will be responsible for overseeing the daily administrative and operational functions of the dental office. Responsibilities may include: Overseeing the day-to-day operations of the dental practice Supporting, motivating, and managing the dental team Coordinating staff schedules and office workflow Ensuring a high standard of patient care and customer service Managing administrative processes and office procedures Supporting accounts receivable, billing, and insurance processes Monitoring practice performance and helping achieve office goals Assisting with staff training and onboarding Maintaining accurate patient and office records Working closely with the dentists and clinical team Addressing patient concerns and ensuring a positive patient experience Helping identify opportunities to improve efficiency and overall practice performance What We?re Looking For The ideal candidate is an experienced dental professional and natural leader who is organized, proactive, and comfortable managing a busy dental practice. Qualifications: Previous dental experience is required Previous Dental Office Manager experience is required Strong leadership, communication, and organizational skills Excellent attention to detail Ability to multitask and prioritize in a fast-paced environment A positive, professional, and team-oriented attitude Dentrix experience is considered an asset Availability to work some evening and weekend hours is required Position Details Position: Dental Office Manager Job Type: Full-time, Permanent Work Location: In person ? Cambridge, Ontario Schedule: Some evening and weekend hours required Remote Work: Not available Ready to Take the Next Step? If you?re an experienced dental professional looking for an opportunity to lead, grow, and make a meaningful impact within a busy and supportive practice, we?d love to hear from you. Apply today and become part of the Country Dental Cambridge team! Job Types: Full-time, Permanent Pay: $32.00-$40.00 per hour Benefits: Dental care Extended health care On-site parking Experience: Dental Management: 1 year (required) Work Location: In person

Headquarters: Chicago, Illinois; NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Principal Customer Success Manager, you'll partner with some of our largest and most complex enterprise customers to help them transform customer service with AI. You'll work with executive sponsors, Support leaders, and cross-functional teams to connect Fin's capabilities to business priorities and guide customers from strategy and implementation through adoption, measurable value, and renewal. You'll own the success strategy for a portfolio of strategic enterprise customers, navigating complex organizations, multiple stakeholder groups, and evolving business needs. This is an opportunity to advise senior leaders, influence how global businesses deploy AI, and help shape the playbooks and best practices for our growing Customer Success team. Responsibilities Own the health, success strategy, and retention of a portfolio of strategic enterprise customers, partnering closely with Account Management on renewal plans. Build relationships across executive sponsors, operational leaders, technical teams, and frontline users. Develop multi-threaded stakeholder maps and ensure alignment across decision-makers and teams. Lead executive conversations, strategic planning, QBRs/EBRs, and success-plan reviews that connect Fin's roadmap and performance to customers' business priorities. Drive measurable value realization by tying Fin's outcomes to customer goals such as cost savings, team capacity, customer experience, and service quality. Make progress and ROI clear to executive sponsors. Develop and prioritize customer-specific AI and automation roadmaps, aligning business objectives, operational readiness, technical dependencies, and measurable milestones. Guide complex enterprise implementations and adoption programs, including requirements gathering, process mapping, and documentation of workflows across teams, systems, or regions. Partner with Solutions Engineering, Product, Support, and other internal teams to translate customer requirements into effective Fin solution designs. Advise on configuration, knowledge strategy, integrations, and prompt design. Monitor leading indicators such as Fin resolution rate, involvement, CSAT, adoption breadth, and stakeholder engagement. Identify risks early and lead mitigation plans that protect customer outcomes and renewals. Analyze usage and performance data to identify optimization opportunities, close resolution gaps, and uncover expansion use cases. Maintain deep knowledge of Fin's evolving capabilities and the AI-agent market, using that expertise to advise customers and position solutions against alternatives. Represent the Voice of the Customer internally, translating enterprise customer needs into actionable product feedback and influencing our solutions strategy. Mentor other CSMs and contribute to the playbooks, operating practices, and standards of a growing enterprise Customer Success team. What skills do I need? 8+ years of customer-facing experience in enterprise Customer Success, strategic account management, management consulting, strategy, or a related advisory role. Demonstrated experience working with large enterprise clients, including complex organizations, senior stakeholders, and multi-team or cross-functional programs. A track record of building executive relationships and influencing decisions across a range of customer stakeholders, from C-suite leaders to operational and technical teams. Demonstrated success driving adoption, retention, process improvement, and measurable business outcomes for enterprise customers. Experience with business process mapping, requirements analysis, solution design, or complex technology implementations. Strong commercial judgment and the ability to connect product performance and customer outcomes to ROI, renewal strategy, and expansion opportunities. Strong technical acumen and a genuine interest in AI, automation, and agent-building. Coding experience is not required. Ability to simplify complex problems and communicate clearly with both executive and technical audiences. Excellent prioritization and program-management skills, with the ability to manage competing priorities across a strategic customer portfolio. Self-motivated, adaptable, and curious, with the judgment and ownership to operate effectively in a fast-changing environment. A collaborative team player who can influence across functions, advocate for customers, and help elevate the work of the broader team. The OTE range for candidates within the New York or San Francisco Bay Area is $222,300- $247,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). The OTE range for candidates within the Greater Chicago Area is $200,070 - $222,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. To apply: https://weworkremotely.com/remote-jobs/fin-principal-customer-success-manager

Headquarters: Chicago, Illinois; NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Strategic CSM, you'll partner with our largest and most complex customers to help them succeed in the new era of AI-driven customer service. You'll work with C-suite leaders and their Support teams to guide them through their AI Agent transformation with Fin — from early project scoping and requirements gathering, to measurable adoption, to industry-best automation rates and business outcomes. This role is an opportunity to shape how the world's leading companies deploy AI to transform their support operations and achieve strategic outcomes aligned to their business goals. Responsibilities Own the retention and health of a portfolio of high touch customers. Track leading indicators (Fin resolution rate, involvement, CSAT, adoption breadth, stakeholder engagement), flag risk early, and run mitigation plans to secure renewals in partnership with Account Management. Drive measurable value realization by tying Fin's performance to each customer's business outcomes (cost savings, team capacity, customer experience), and make that ROI visible to executive sponsors at every stage of the relationship. Build and prioritize an Automation Roadmap for each customer, balancing competing demands to deliver outcomes across your portfolio. Develop trusted advisor relationships from the C-suite to individual contributors, and multi-thread accounts so success doesn't depend on a single champion. Lead requirements gathering and process mapping of customers' standard operating procedures, and document them in clear, precise and actionable terms. Partner with engineers to turn customer requirements into Fin solution designs, and guide customers on configuration best practices, knowledge strategy and prompt design. Analyze Fin usage and performance data to find optimization opportunities, close resolution gaps and uncover expansion use cases. Lead Success Plans, QBRs/EBRs and strategic planning sessions that align Fin's roadmap with the customer's goals. Keep deep product knowledge of Fin's fast-expanding capabilities and stay aware of where the AI-agent market is heading, so you can position Fin against alternatives. Act as the Voice of the Customer internally, turning customer insights into product feedback and shaping our solutions strategy. Mentor other CSMs and help shape the playbooks and best practices of a growing team. What skills do I need? 8+ years of customer-facing experience in management consulting, strategy, advisory, or enterprise SaaS CSM roles. Experience with business process mapping, requirements analysis, and solution design. Strong technical acumen and passion for AI/agent-building (coding not required). Ability to simplify and communicate complex problems clearly across audiences. Strong prioritization skills to effectively manage a broad portfolio of customer accounts while delivering depth of impact. Demonstrated success driving adoption, process improvement, and measurable outcomes for enterprise customers. Self-motivated, adaptable, and curious team player with a high level of self-efficacy. The OTE range for candidates within the New York or San Francisco Bay Area is $186,300 $207,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). The OTE range for candidates within the Greater Chicago Area is $167,670- $186,300. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. To apply: https://weworkremotely.com/remote-jobs/fin-senior-customer-success-manager

Headquarters: Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen fast. Senior Applied AI Engineer, Entity Agents ZoomInfo | Product | Core Data About ZoomInfo ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute, you'll make things happen, fast. The Opportunity ZoomInfo's Core Data team builds the company and contact data behind the Go-To-Market Intelligence Platform: hundreds of millions of records, resolved to the right entity, kept accurate, and delivered to more than 35,000 customers. The way that data is produced is changing. For years it came from deterministic pipelines: many sources, weighted and decayed, one winner per attribute. Core Data is now moving to AI-native data management, where an agent pursues the evidence for an entity, decides every attribute over all of it, and records why. The company and contact agents already exist as working, measured prototypes. What does not exist yet is the machinery that runs them at production volume, proves every version before it ships, and lets researchers and product managers operate them without an engineer in the loop. We are hiring a Senior Applied AI Engineer to build and own that machinery. You will complete the entity-agent pipeline, build the evidence adapters behind a single envelope, run the benchmark and golden-gate system on a schedule, build the review and batch tooling the team operates, and carry the agents onto ZoomInfo's Agentic Platform. You will work with the Principal AI Engineer who owns the benchmark harness and productionization, the product manager who owns evaluation and policy, and the company and person engineering teams that own the pipelines the agents feed. You will not be the only person who can do this work; you will be the second, so that neither of you is a single point of failure. This is a role for someone who has shipped LLM systems in production with evaluations, builds platform for other people to operate, and can work inside a large-scale data pipeline. You should be as comfortable writing an adapter with a replayable store and a kill switch as you are reading a miss analysis with a product manager, and you should like that the prototype you take to production was built by a PM who commits code. What You'll Do Run the benchmark and golden-gate system. Move judge runs, golden-gate results, arms scorecards, and cost per record from a laptop to a scheduled system against staging. Every agent version is gated automatically, with variance and drift tracked per release. The evaluation product manager sets the thresholds; you make them enforceable. Complete the entity-agent pipeline. Build the stages that do not exist yet: enricher fan-out, location sets, and hierarchy batch files. Migrate the classifiers to the shared runner with the Principal AI Engineer so they run at production scale. Measure throughput and unit cost per stage on named cohorts, so the cost model comes from instrumentation rather than estimates. Build the evidence adapters. Registries, live web, mail-tenant signals, and external research vendors all sit behind one envelope with a replayable vendor store, measured lift per shape, a per-vendor kill switch, and at least two sources per shape. Vendors are swappable by design. Deploy onto the ZoomInfo Agentic Platform. Carry the company and contact agents through the production plan onto ZAP, build the ingest adapter side (envelope to match service and bulk intake), and keep a rollback path per version. Keep the DOH implementation and the platform implementation upgraded in lockstep, enforced by tooling. Make the loop self-service. Build the review queue, tagging tools, blast-radius viewer, and batch runners that researchers and product managers use without an engineer. Measure review yield and golden-record production. Keep the agent surfaces alive. Own the health and deployment of the company classifier, contact classifier, agents hub, and judge platform inside our internal tooling, so the team's iteration cycle never waits on one person. Instrument everything. Cost per call, per row, per stage; quality per version; alerts before a human notices. What You'll Bring 5+ years of software engineering experience, including at least 2 years shipping LLM-based systems to production: agent loops, tool use, retrieval, structured output, and the evaluation harness that proved them Strong Python and TypeScript, and comfort across an API layer, a batch runner, and a small web UI for internal users Experience building platform others operate: adapters, runners, queues, or internal tools designed for replay, idempotency, and observability Working knowledge of data pipelines and entity resolution: how records move through ingestion, matching, and serving, and what a false merge costs versus a missed match A track record of taking a prototype to production without losing what the prototype proved, treating test sets and benchmarks as the contract Instrumentation by default: you know the cost and latency budget of every system you have shipped Strong bias for action and the tenacity to find an endpoint owner, get a decision, and unblock a runner in a fast-moving, distributed organization Preferred Experience with B2B company or contact data, identity or registry data, or entity resolution at scale Experience with Claude or comparable frontier models, agent frameworks, and eval harnesses Experience deploying agents onto an internal agent platform or orchestration layer Background at an AI-native startup, a forward-deployed or applied AI team, or a data infrastructure company Who You Are A builder who ships. You pick the boring technology when it wins and you would rather have a running adapter than a design doc. An evaluator by instinct. You do not release a version without a test set, a threshold, and a number for what it costs. A platform thinker. You build things that other people run, and you design for the day the vendor goes down. Comfortable in the data. You can read a pipeline, reason about matching, and explain why a wrong merge is worse than a missed one. Tenacious. ZoomInfo is fast, distributed, and messy. You go find the people you need and drive the work to done. One team. Honest, has the team's back, celebrates wins and losses together. The Environment You report to the Senior Manager of Product for Core Data, with the Principal AI Engineer as your technical lead, and sit inside the Core and Global Data organization under the Chief Data Officer. Your day-to-day partners are the Principal AI Engineer, the product manager who owns evaluation and data policy, the Company and Person Data product managers, the research team that grades and rules, the agentic platform team, and company and person engineering. Expect interesting problems: how do you run a judge over a million records a day for cents, not dollars? How do you make a vendor replaceable without a rewrite? How do you let a researcher run a batch and rule on the misses without paging you? About ZoomInfo ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $171,500 — $269,500 USD About us: ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-applied-ai-engineer-entity-agents

Headquarters: United States (Remote) Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the ET timezone in the US. About the team The AI Engineering team builds the systems and capabilities behind Typeform's AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products. Your work will help customers understand the "why" behind responses and move from research questions to informed decisions faster. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform. Things you will do Build and deliver AI products Design, build, and deploy generative AI capabilities across Typeform's products, with a key contribution to Research Flow. Develop applications using large language models, RAG, vector search, and agentic systems. Build services and APIs that allow product teams to integrate AI capabilities into customer experiences. Turn prototypes into reliable production systems with clear measures of performance and quality. Explore new ways for customers to collect, understand, and act on information using AI. Build scalable AI systems Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow. Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search. Use MLflow to manage experiments, model versions, registries, and deployments. Improve the reliability, performance, scalability, and cost efficiency of our AI systems. Evaluate and improve AI quality Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow. Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost. Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking. Monitor AI systems in production and identify opportunities to improve their quality and performance. Create safeguards that reduce unexpected behaviour and protect customer data. Shape our AI engineering practice Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems. Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost. Apply strong engineering practices across testing, security, observability, version control, and deployment. Share technical knowledge and support the development of other engineers. Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform. Collaborate across Typeform Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs. Work with Data Scientists to turn experiments and models into reliable production services. Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners. Contribute to technical planning and help shape the direction of AI across Typeform. What you bring At least four years of experience building and deploying machine learning or AI systems in production. Strong Python and software engineering skills. Experience building production services using Python frameworks such as FastAPI. Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative AI applications. Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Experience using services such as AWS SageMaker or AWS Bedrock. Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing. Experience managing machine learning workflows using MLflow. Experience monitoring production systems with tools such as Datadog or OpenSearch. The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions. Strong communication skills and experience collaborating with Product, Engineering, and Data teams. Extra awesome Experience working in a B2B SaaS product company. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience building systems that combine structured data, unstructured data, and generative AI. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience improving the latency and cost of AI systems operating at scale. *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual's unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here. To apply: https://weworkremotely.com/remote-jobs/typeform-senior-ai-engineer-us