Remote Dev Jobs

7 jobs available

100% Remote5ms
-
google-sheets
Active filters:
S

StoryblokRemote4w ago

Headquarters: Remote - Poland/Germany/Brazil Storyblok is a headless CMS that enables marketers and developers to create with joy and publish with confidence. It empowers you to deliver structured and consistent content everywhere: websites, apps, AI search, and beyond. Legendary brands like Virgin Media O2, Oatly, and TomTom use Storyblok to make a bigger, faster market impact. WHAT IS IN IT FOR YOU You will be joining a growing company where you can contribute to many “firsts”. Plus these benefits: Monthly remote work stipend (home internet costs, electricity). Home office equipment package right at the start (laptop, keyboard, monitor…) Home office equipment upgrade (furniture, ear plugs …) or membership to a local co-working space after your onboarding Sick leave benefit, parental leave and 25 days of annual leave plus your local national holidays Personal development fund for courses, books, conferences, and material VSOP (Virtual Stock Option Plan) The annual international team-building trip, quarterly and monthly online get-togethers As a fully remote company, with work-life balance at its core, you’ll enjoy flexible schedules An international team that loves to have fun at work and works hard together to accomplish shared goals JOB SUMMARY Storyblok is scaling rapidly. As AI Operations & Automation Manager , you will own the optimisation of the Operations (finance and people teams) application stack and you will assume end‑to‑end ownership of the finance-specific tech stack. Your primary objective will be to optimise existing Operations processes and elevate them to best-in-class standards. By championing automation and process optimization with the help of AI and other leading tools, you will boost data quality and integrity as well as maximise output of the existing resources. Partnering with Operations as well as Sales, Product, Data, and Revenue Operations, you will guide system changes, shape development roadmaps, and safeguard data integrity company‑wi

Buffer

BufferRemote5mo ago

Headquarters: United States, California URL: https://buffer.com/ About the role We're looking for a Senior Frontend Engineer to join our Growth Marketing team. This is a hands-on engineering role building the web experiences and systems that help Buffer grow. The work spans building features and pages across buffer.com - interactive tools, benchmarks, referral systems, conversion flows - along with the technical implementation behind them: integrations with marketing tools, analytics and tracking systems, SEO implementations, and backend logic that powers our marketing features. We need someone who's comfortable across the full frontend scope - strong with React and modern web development, but also capable of diving into backend logic, connecting third-party APIs, debugging tracking pipelines, and figuring out what they don't know. You'll collaborate closely with Simon (Director of Marketing), David (Senior Design Engineer), and Kate (Senior Designer). The team values pace and iteration — we ship quickly, learn from real usage, and improve as we go. But we also care about craft — noticing the UX details and maintaining standards while keeping momentum. What you’ll do Lead growth engineering projects, like implementing a localization framework to support international audiences, building referral program logic and attribution systems, rebuilding our tracking implementation to improve accuracy and reliability. You’ll own projects from concept to launch, working closely with marketing, design, and other engineers. Build features on Buffer's marketing site — ship landing pages, interactive tools, and conversion flows that help people discover and try Buffer. Create benchmarks, calculators, and utility content that educate users and drive engagement. Shape marketing platform capabilities by building systems and frameworks that let the team move faster. Create A/B testing infrastructure, develop programmatic page generation for SEO/AEO, implement content management patter

CO

Cargo One · Remote (EMEA)Remote57y ago

🏆 What's the opportunity? cargo.one is the AI-native operating system for air and ocean freight. Logistics still runs on manual work, disconnected tools and messy data. Since 2018 we've been building the data foundation, and the AI agents on top of it, that let freight teams quote, book and manage rates in a fraction of the time. Today more than 30,000 users across 172 countries run on us. Ocean is our newest frontier. We've just brought ocean freight onto the platform alongside air, in one workspace powered by the same AI, and we need people who can make that ocean data rock solid from day one. As our Content Operations QA Analyst (Ocean) , you're the sharp eye that keeps this data trustworthy. Freight forwarders send us detailed rate sheets, and increasingly our AI helps process them. You'll compare the processed data with the source documents, correct discrepancies and make sure every figure is right before a customer sees it. You'll build a strong understanding of ocean rates and surcharges so you can spot what doesn't add up. Content is the foundation much of our product rests on. This data powers the quoting of freight solutions by our customers to their own customers, the shippers: a forwarder wins that business on the rates we serve. We're backed by leading investors, including Index, Bessemer, Point Nine, Creandum and Lufthansa, and we work remote-first in a positive, feedback-driven and genuinely fun team. 🌍 Where you can work We're remote-first. You can work from (almost) anywhere cargo.one is able to employ through our partner Remote . We're a remote company, but we regularly meet in person, too. 🎬 A snapshot of what you'll be doing here Quality-check the ocean freight contracts, rates and surcharges that our partners and AI populate, cross-checking every entry against the source rate sheets and tariffs. Work through a steady queue of contracts with care. Follow the QA steps and record what you checked. Learn how ocean rates and surcharges work so you

H

hellofresh · DerbyRemote57y ago

<p><strong><span style="text-decoration: underline;">About The Team:</span></strong></p> <p>The <strong>Senior Operational Excellence Engineer</strong> sits within the UK Operational Excellence team and plays a key role in designing, executing, and scaling high-impact continuous improvement initiatives across HelloFresh distribution centres.</p> <p>Positioned as a senior technical practitioner and project leader, you will handle complex, cross-functional projects aimed at optimizing fulfillment processes, reducing costs, and improving error rates. You will bridge high-level strategy and floor-level execution by collaborating closely with the OpEx Team Lead on roadmap implementation while mentoring junior engineers and leading site-level project teams.</p> <p><span style="text-decoration: underline;"><strong>What You Will Be Doing:</strong></span></p> <ul> <li><strong>Complex Project Execution:</strong> Lead high-impact, multi-faceted continuous improvement projects from end-to-end to drive major KPI improvements across site operations (cost per box, error rate, throughput).</li> <li><strong>Advanced Process Optimization:</strong> Apply Lean Six Sigma methodologies, root-cause analysis, and structured problem-solving tools to solve complex operational bottlenecks.</li> <li><strong>Roadmap Delivery Support:</strong> Partner closely with the OpEx Team Lead and site operational leaders to translate the broader OpEx strategy into actionable project plans.</li> <li><strong>Data-Driven Insights & Automation:</strong> Conduct deep-dive data analyses (using SQL, Tableau, Excel/Google Sheets) and champion digital/low-code innovation to build scalable operational tools on the floor.</li> <li><strong>Technical Mentorship:</strong> Act as a subject matter expert and mentor to OpEx Engineers and shift leaders, coaching them on CI methodologies and standard work principles.</li> <li><strong>Stakeholder Management & Governance:</strong> Build strong relationships with cross-functio

AA

Anyone Ai · RemoteRemote57y ago

Our vision: Mastering machine learning is difficult, time-consuming, and often frustrating. Meanwhile, the AI industry faces its biggest challenge: a global shortage of skilled talent. At Anyone AI, we close this gap by upskilling the best talent from LatAm through an accelerated, hands-on training program designed and led by AI industry experts. Our mission: We are building the largest hub of AI developers in the region, investing in tens of thousands of developers over the next decade. We are founding members of Deep Vision AI, one of the first companies in the computer vision / AI space, which was acquired in early 2020 by DFW Capital Partners. Anyone AI is backed by top global investors like GFC -Global Founders Capital- (investors in Facebook, LinkedIn, Slack, etc), Canvas Ventures (early investor in Coursera), Latitud Fund (the largest community of angel investors for LatAm), Magma Partners, Lotux VC, among others. Run the race of your life This is an opportunity to transform the AI industry and positively impact thousands of lives in Latin America. This position offers self-motivated, collaborative individuals the chance to make a direct impact on Anyone AI’s products and services. You will have the opportunity to challenge yourself while contributing to the development of a revolutionary accelerated training program. This program is designed to invest in people from LatAm, helping them master ML and AI and secure a job in the space. About the Role We are seeking a Data & Operations Specialist who thrives at the intersection of process automation and data workflows. This role is both highly technical and operationally strategic: you’ll design and maintain automation workflows, manage key processes (admissions, education, career services, billing), and ensure data accuracy across all areas. You’ll be hands-on with tools like Zapier, Hubspot, Google Sheets, AppScripts, Notion/Airtable, APIs, and ideally Supabase. At the same time, you’ll take ownership of opera

KG

Knuddels GmbH & Co. KG · HomeofficeRemote57y ago

Wir bei Knuddels haben das Ziel, soziale Netzwerke wieder wirklich sozial zu machen – weg vom Konsumieren von Content, hin zu echter menschlicher Nähe. Bei Knuddels soll jeder 3 wichtige Menschen für sein echtes Leben finden. 100.000 Mitglieder erzeugen bei uns täglich Millionen von Events. Deine Aufgabe: Diese Daten nicht nur analysieren, sondern die richtigen Schlüsse daraus ziehen – und dafür sorgen, dass datenbasierte Erkenntnisse im ganzen Unternehmen ankommen und zu konkreten Verbesserungen führen. Deine Aufgaben Hands-on Datenanalyse & Data Science: Du analysierst unsere komplexen Daten und ziehst wertvolle Erkenntnisse mittels Data Mining, Clustering, Forecasting oder Recommendation Classification. Du stellst dabei die Korrektheit unserer Daten in den verschiedenen Systemen sicher. Datengetriebene Entscheidungen ermöglichen: Du analysierst unsere Daten, bereitest die Ergebnisse verständlich auf und leitest daraus konkrete strategische Maßnahmen ab. Dabei arbeitest du eng mit Produktmanagement, Community Management und Geschäftsführung zusammen – nicht im Elfenbeinturm, sondern als Sparringspartner auf Augenhöhe. Du verknüpfst quantitative Analysen mit dem qualitativen Feedback unserer Community, um fundierte Entscheidungen zu ermöglichen. und etablierst Best Practices wie Code Reviews und Dokumentation. Hands-on Datenanalyse & Data Science: Du arbeitest operativ mit unseren komplexen Daten und ziehst wertvolle Erkenntnisse mittels Data Mining, Clustering, Forecasting oder Recommendation Classification. Du stellst die Korrektheit unserer Daten in den verschiedenen Systemen sicher und etablierst Best Practices wie Code Reviews und Dokumentation. Teamführung & Datenkultur: Unser Data-Science-Bereich befindet sich im Wandel – und du gestaltest ihn mit. Du übernimmst die fachliche und perspektivisch disziplinarische Führung eines kleinen Teams, förderst die Entwicklung deiner Kolleg:innen und baust den Bereich strukturell weiter auf. Gemeinsam mit der Geschäftsfü

KG

Knuddels GmbH & Co. KG · HomeofficeRemote57y ago

Wir bei Knuddels haben das Ziel, soziale Netzwerke wieder wirklich sozial zu machen – weg vom Konsumieren von Content, hin zu echter menschlicher Nähe. Bei Knuddels soll jeder 3 wichtige Menschen für sein echtes Leben finden. 100.000 Mitglieder erzeugen bei uns täglich Millionen von Events. Deine Aufgabe: Diese Daten nicht nur analysieren, sondern die richtigen Schlüsse daraus ziehen – und dafür sorgen, dass datenbasierte Erkenntnisse im ganzen Unternehmen ankommen und zu konkreten Verbesserungen führen. Warum Teilzeit? Wir wissen, dass es großartige Data-Science-Profile gibt, die nicht Vollzeit arbeiten können oder wollen - sei es wegen Familie, Weiterbildung, Selbständigkeit oder schlicht Lebensentwurf. Das ist für uns kein Kompromiss, sondern eine bewusste Entscheidung: Lieber die richtige Person in Teilzeit als die falsche in Vollzeit. Deine Aufgaben Hands-on Datenanalyse & Data Science: Du analysierst unsere komplexen Daten und ziehst wertvolle Erkenntnisse mittels Data Mining, Clustering, Forecasting oder Recommendation Classification. Du stellst dabei die Korrektheit unserer Daten in den verschiedenen Systemen sicher. Datengetriebene Entscheidungen ermöglichen: Du analysierst unsere Daten, bereitest die Ergebnisse verständlich auf und leitest daraus konkrete strategische Maßnahmen ab. Dabei arbeitest du eng mit Produktmanagement, Community Management und Geschäftsführung zusammen – nicht im Elfenbeinturm, sondern als Sparringspartner auf Augenhöhe. Du verknüpfst quantitative Analysen mit dem qualitativen Feedback unserer Community, um fundierte Entscheidungen zu ermöglichen. und etablierst Best Practices wie Code Reviews und Dokumentation. Hands-on Datenanalyse & Data Science: Du arbeitest operativ mit unseren komplexen Daten und ziehst wertvolle Erkenntnisse mittels Data Mining, Clustering, Forecasting oder Recommendation Classification. Du stellst die Korrektheit unserer Daten in den verschiedenen Systemen sicher und etablierst Best Practices wie Code Revie