Remote Dev Jobs
93 jobs available
TogglRemote2w ago
Headquarters: Tallinn, Estonia URL: https://toggl.com/jobs/ We are looking for a Senior Full Stack Engineer to join one of our Product Tribes, the cross-functional units that own the end-to-end experience for a specific Toggl user role. You'll join the Tribe building for managers, the people who plan work, protect margins, and keep projects on time and on budget. You own significant parts of that experience end-to-end, working hands-on with product and design to ship work that matters. You'll do this as we build and launch Toggl 2.0, our consolidated planning, time tracking, and time intelligence product. The salary for this position is €83,000 annually. You can work from anywhere in the world as long as your main location is between UTC-4 and UTC+4. The Role As a Senior Full Stack Engineer, you own meaningful parts of the product end-to-end, from the data model and the API to the interface someone actually clicks: the technical approach, the quality of what ships, and whether it actually works for the people using it. You are accountable not for tickets closed, but for clarity, craft, and outcomes. You'll work in the Tribe serving managers, across planning and capacity management, dashboards, and billable work. This is some of the most data-dense, interaction-heavy surface area in the product: schedules and capacity views, reports, and visualizations that have to stay fast and readable at real customer scale. The interesting problems live on both sides of the API here - the query behind a capacity view matters as much as how that view renders. You'll build with React and TypeScript on the frontend and our backend services (mostly Golang) and data layer (Postgres) behind them, alongside a product manager, a designer, and engineers who are used to owning their work and pushing back when something isn't right. In a tribe of 5 other engineers, your impact and visibility are high. Our team meetings are scheduled between 11:00 and 16:00 UTC. Your availability and commitm
Customer.ioRemote2w ago
Headquarters: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io , and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on. Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building. What we value Craft over quick wins — energized by making things robust, not just making them work. A point of view — we want someone who asks "why did you build it that way?" and has a specific answer for what to do instead. Comfortable being wrong — you try things fast, and you course-correct just as fast. AI-native by default — you'd rather direct Claude to write and QA code than write it by hand. What you'll do Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code. Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do. Deployment & infrastructure — stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hy
New Expressions · 🇺🇸 United StatesRemote2w ago
Job brief We are seeking a Software Engineer to execute the full lifecycle of the product development, by programming well-designed, efficient, and testable code that meets specifications. Responsibilities Develop new capabilities and re-architect parts of an existing system. Take part in test-driven, iterative development, prototyping, and reviews with a team of developers. Design and code middle and back-end in a clean and efficient way. Implement scalable and robust services. Develop externa…
GitLabRemote2w ago
Headquarters: Remote, Canada; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them. Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape
Gusto, Inc.Remote1mo ago
Headquarters: New York, NY;Toronto, Ontario, CAN - Remote About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day. As a Staff Software Engineer for the Time / Scheduling product team, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us! Here’s what you’ll do day-to-day: Design, build, and test Gusto core products across the Time domain Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale Help scale one of the largest Ruby/Rails and
CoinbaseRemote1mo ago
Headquarters: Remote - USA Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase's Compliance organization manages regulatory obligations across products, operations, and growth — spanning transaction monitoring, sanctions screening, regulatory change management, and exam readiness across 60+ global entities. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Compliance. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the Compliance org. You'll be the connective tissue between Compliance stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one. What you'll do: Embed with Compliance leadership and frontline teams to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like transaction monitoring, sanctions screening, regulatory change management, and exam preparation. Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds. Own the Compliance automation roadmap in partnership with the Chief Compliance Officer and Compliance leadership, translating complex regulatory workflows — case resolution, trade surveillance, risk assessment, policy manageme
HygraphRemote1mo ago
Headquarters: Dircksenstraße 47, 10178 Berlin, Germany URL: https://hygraph.com How will you make an impact? As a Senior Full Stack Engineer, you'll work at the intersection of engineering and product to shape how our users build with Hygraph. You'll ship features that solve real customer problems, contribute to our CMS core, extend our platform capabilities, and help bring AI-powered features to life. You won't wait for perfect specs or pixel-perfect designs. You'll use your judgment, collaborate closely with product managers, designers, and customers, and move fast using modern AI-assisted development tools. This role is for someone who sees engineering as a team sport, takes ownership without waiting for permission, and thrives in an environment where initiative matters more than instructions. What you will be working on: Core CMS development: Evolve the GraphQL-native CMS powering enterprise teams worldwide, improving performance, reliability, and developer experience. CMS extensions and integrations: Develop and maintain extensions that expand what customers can do with Hygraph. AI-powered features: Contribute to our AI roadmap by building intelligent capabilities into the product. Customer-facing improvements: Use monitoring data, customer feedback, and your product instinct to identify and fix problems before they're reported proactively. Some of your tasks and responsibilities: Collaborate in a cross-functional, autonomous team to deliver features and continuous improvements, often working from rough prototypes or early concepts rather than polished designs. Translate business needs into technical solutions by working closely with the Product team. Occasionally, participate in customer conversations to validate that what you're building actually solves their problems. Comfortable using modern AI-assisted development tools (Cursor, Claude, Codex, or similar) to accelerate development. Proactively identify issues through monitoring and observability data. Then
GitLabRemote1mo ago
Headquarters: Remote, Canada; Remote, United Kingdom; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an AI Transformation Owner at GitLab, you'll shape your function's AI strategy and build the solutions that deliver it. You are the person responsible for identifying where AI can fundamentally change how your org operates, partnering with your Executive Sponsor to align on the biggest challenges, and driving measurable outcomes against them. Think of this as a product management role where the product is your org's way of working. You'll manage the full lifecycle: understanding how work flows today, deciding where AI should reshape it, priori
JetBrainsRemote1mo ago
Headquarters: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia AI is fundamentally changing how developers write, understand, debug, and maintain software. At JetBrains, we're exploring what an AI-native development experience should look like for C++ developers. We are looking for a senior technical leader to help shape this future by building AI-powered workflows, integrating coding agents into developer tools, and defining how CLion can become a first-class environment for AI-assisted software development. This is a highly hands-on role focused on technical leadership rather than people management. You should expect to spend most of your time prototyping, implementing, and validating AI-powered workflows while helping shape technical direction through hands-on engineering. You'll work at the intersection of developer tools, AI agents, IDE architecture, and product strategy while helping define how software developers work with AI in the future. Example problems you'll work on: How can coding agents become more effective when working with large C++ codebases? How can CLion's debugging, code understanding, and navigation capabilities be integrated into AI-assisted development workflows? How should AI-powered developer experiences be evaluated and benchmarked in real-world development scenarios? What capabilities should AI agents have access to inside a modern IDE? How can we make CLion a better environment for developers who increasingly collaborate with AI tools and agents? In this role, you will: Shape and deliver AI-powered features for CLion and C++ development workflows. Design the architecture for AI integrations, agent tools, and C++-specific AI capabilities. Build practical benchmarks and evaluation frameworks for AI-assisted C++ development scenarios. Prototype and validate new AI work
LawnStarter · 🇧🇷 BrazilRemote2mo ago
This is a remote role for candidates located in São Paulo , Brazil. LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Engineering at LawnStarter We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric. AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides. The Role You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome. You're measured by impact, not by lines of code merged. When an agent can ship something safely, your job is to make sure it's done right and the metric moves. When the work calls for careful, hand-written code in a sensitive area, you write it yourself. What makes this role exciting: You ship end-to-end. From problem-framing through production to the post-launch metric review — you see the whole arc and own the result with your team. You work as a true product partner. You sit at the table with PM and design, bringing engineering judgment to product calls and product sense to engineering
Teamsware GmbH · 🇩🇪 Munich, GermanyRemote57y ago
Über Teamsware: Wir sind Pioniere in der digitalen Transformation der Baubranche. Unsere Projekt- und Unternehmensplattform auf Basis von Microsoft 365, Teams und SharePoint wird individuell auf unsere Kunden zugeschnitten. Und wir gehen einen Schritt weiter: Wir bauen KI fest in unsere eigene Arbeitsweise und in unsere Kundenlösungen ein. Diese Rolle hat zwei Seiten: Nach innen treibst du unsere eigenen KI-Prozesse voran und machst Teamsware zu einem KI-first Unternehmen. Nach außen entwickelst du daraus konkrete Lösungen für Bauunternehmen, Projektentwickler und Planungsbüros. Aufgaben Interne KI-Prozesse: Du analysierst unsere Abläufe in Vertrieb, Projektabwicklung, Support und Administration und automatisierst sie mit Copilot, Copilot Studio, dem Teamsware Studio, Power Automate und passenden KI-Diensten. Kundenlösungen: Du konzipierst und baust KI-Anwendungsfälle für unsere Kunden – vom intelligenten Dokumentenassistenten für Verträge und Nachträge bis zur automatisierten Auswertung von Bautagebüchern und Projektberichten. Enablement: Du schulst Kolleginnen, Kollegen und Kunden, etablierst Prompt- und Nutzungsstandards und sorgst dafür, dass KI im Alltag wirklich ankommt. Governance und Qualität: Du behandelst Datenschutz, Datenqualität und den verantwortungsvollen Einsatz von KI als festen Teil jeder Lösung. Innovation: Du beobachtest den Markt, bewertest neue Modelle und Werkzeuge und bringst das Relevante als Prototyp in unsere Plattform. Qualifikation Echte KI-Begeisterung: Du nutzt KI-Tools täglich, verfolgst die Entwicklung aktiv und hast bereits eigene Automatisierungen oder Prototypen gebaut. Interesse an der Baubranche: Du willst verstehen, wie auf der Baustelle und im Projektgeschäft wirklich gearbeitet wird – Vorerfahrung im Bau- oder Immobilienumfeld ist ein klares Plus. Microsoft-365-Kenntnisse: Sicherer Umgang mit Teams, SharePoint und der Power Platform; Erfahrung mit Copilot Studio, Azure AI oder vergleichbaren Diensten ist von Vorteil. Analytis
SHAPE DACH GmbH · 🇩🇪 Hamburg, GermanyRemote57y ago
Wir bauen Anwendungen, die im Betrieb bestehen. Dafür suchen wir jemanden, der ein Feature von der Datenbank bis ins Interface fertig macht und nicht auf halber Strecke stehen bleibt. Worum es bei uns geht Unsere Projekte laufen über Jahre, nicht über einzelne Sprints. Saubere Architektur und klare Datenmodelle sind bei uns kein Nachgedanke, sondern die Voraussetzung dafür, dass Produkte wachsen können. KI gehört dabei zum Produkt und zum Arbeitsalltag, nicht in ein Sonderprojekt am Rand. Aufgaben Deine Rolle Du arbeitest in einem unserer Produktteams und verantwortest Features über den kompletten Stack. Backend mit Laravel und PHP 8.2+ Frontend mit Vue.js Anbindung von APIs und Drittsystemen Umsetzung von KI-Funktionen in Kundenprodukten, zum Beispiel RAG-Workflows oder Assistenzfunktionen Anforderungen klärst du direkt mit Product Ownern und Designern, statt auf durchspezifizierte Tickets zu warten. Qualifikation Mehrere Jahre Erfahrung in der professionellen Webentwicklung mit Laravel und Vue.js. Wichtig ist uns, dass du den Unterschied kennst zwischen einem Feature, das funktioniert, und einem, das in zwölf Monaten noch wartbar ist. Lust auf Herausforderungen und Dinge mit eigenen Ideen voranzutreiben Sicherer Umgang mit PHP 8+, JavaScript, TypeScript, Git, Code Reviews und Deployments Erfahrung mit automatisierten Tests Gute Deutschkenntnisse für die Zusammenarbeit im Team und mit Kunden Schön, wenn du zusätzlich mitbringst: Erste Projekte mit LLM-APIs (OpenAI, Anthropic oder vergleichbar) Routine in der Arbeit mit KI-Assistenten wie Claude Code Erfahrungen mit anderen Software-Stacks wie CMS oder anderen Frameworks und Programmiersprachen Benefits Was dich erwartet Projekte mit echten Nutzerzahlen statt Prototypen für die Schublade Aktueller Stack, auch bei den KI-Tools Zeit für Weiterbildung und fachlichen Austausch im Team Flexible Arbeitsweise (remote, hybrid oder vor Ort) Wenn du Produkte bauen willst, die länger halten als ein Projektzyklus, freuen wir un
Digitale Leute School · 🇩🇪 Munich, GermanyRemote57y ago
Du denkst in Produkten, arbeitest täglich mit digitalen Tools – aber programmieren war bisher immer die Aufgabe von anderen? Genau das ändert sich gerade. Wer KI präzise briefen kann, baut heute funktionierende Software – und braucht dafür kein Informatikstudium, sondern ein Handwerk, das man lernen kann. Das Vibe Coding Bootcamp der Digitale Leute School bildet digital erfahrene Quereinsteiger:innen ohne Programmiererfahrung remote und berufsbegleitend zum AI Product Builder aus. In 26 Sessions gehst du von der ersten Idee bis zu deinem eigenen, live deployten KI-Produkt. Für Arbeitssuchende mit Bildungsgutschein ist die Teilnahme komplett kostenfrei. Digitale Leute ist die Plattform für Produktmanagement, UX-Design und Engineering. Gemeinsam mit Partnern wie Airbnb, Porsche Digital, Atlassian und Rewe Digital gestalten wir die Software-Entwicklung von morgen – unsere Trainer:innen kommen aus genau diesen Teams. Der nächste Kurs startet bald, es gibt noch freie Plätze. Aufgaben Creative Foundations – von der Idee zur Wirkung: Du startst nicht mit Code, sondern mit dem, was du schon mitbringst: Produktdenken. Du lernst, Nutzerbedürfnisse zu erkennen, KI als kreativen Partner einzusetzen und aus einer Idee ein tragfähiges Konzept zu machen – am Ende von Modul 1 steht dein erster Prototyp. Technical Foundations – genug Technik, um die Kontrolle zu behalten: Daten, APIs, Kommandozeile, Git und GitHub, Deployment und Hosting. Kein Selbstzweck, sondern das Fundament, um zu verstehen, was die KI für dich baut – und um deine App vom Laptop live ins Netz zu bringen. Prompt Engineering – wie Sprache zu Code wird: Der Kern des Handwerks, über fünf Sessions. Du lernst Prompt Design Patterns, baust mehrstufige Prompt Chains, debuggst und optimierst systematisch, statt zu raten. Am Ende steht "Prompt to Prototype": dein erstes eigenes Feature. System Flow & Automation – Prozesse, die für dich arbeiten: Du automatisierst Workflows, verbindest No-Code-Tools wie Airtable, Notion un
Legalhero · 🇩🇪 Berlin, GermanyRemote57y ago
What You'll Do You’ll identify open AI opportunities, build them from start to finish, and bring them to real users. As a Senior AI Product Engineer, you’ll work across our three product squads: You’ll single-handedly turn unaddressed topics into products, hand them off once they’re up and running, and serve as a sparring partner for the squad PMs on all AI-related topics. For us, “senior” refers to your approach to work, not your years of experience. You’ll report directly to Product Leadership. Your Responsibilities Independent AI projects (about half of your time) You’ll identify high-impact AI opportunities in our legal workflows - in areas where no specific squad is responsible Validation happens quickly: discussions with attorneys, Legal Ops, and insurers; prototypes built in days You’ll bring the winning solutions into production yourself: routing, chaining, summarization, and agent-based loops You’ll hand off mature features to the squad - complete with documentation, evaluations, and a handover plan Support for the squads (the other half) Feasibility, costs, model selection, risks: You’ll answer these questions before every AI feature is launched You support the teams in designing evaluations, golden datasets, and guardrails You review concepts before they go into the roadmap - including prompt injection and compliance risks (GDPR, Section 203 of the German Criminal Code) You advance AI best practices: prompt engineering standards, LLM observability, and agent-based coding workflows What you bring Must-have Multiple production-ready AI/LLM systems that you’ve shipped to real users and taken responsibility for - no prototypes Demonstrable product ownership: from a vague problem to a finished product Strong Python skills and a solid foundation in software engineering (Git, testing, CI/CD, code review) In-depth experience with LangGraph, LangChain, or similar - including an understanding of what’s happening under the hood Proficiency with LLM provider APIs: fu
Actian · Europe - RemoteRemote57y ago
The AI Enablement Team is the catalyst for internal transformation and product acceleration across Actian. In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be embedded into our product DNA and our engineering workflows. We are looking for an AI Enablement Lead who will architect, scale, and own our AI enablement strategy end-to-end. You are not a theoretical researcher or a passive prompt engineer; you are a highly practical, technical driver who builds the foundational platforms, tooling, and frameworks that allow other product and engineering teams to deploy AI safely, rapidly, and at scale. You will democratize AI across the organization, establish modern LLMOps/MLOps practices, and directly impact the Actian Data Intelligence Platform by introducing agentic workflows, intelligent data pipelines, and cutting-edge capabilities. Core Responsibilities: Internal AI tooling: Design and maintain the core AI orchestration layers, centralized API gateways, and reusable frameworks (e.g., advanced RAG architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias, data privacy, and security across all AI implementations. Cost & Latency Optimization: Actively monitor and manage cloud and API compute spend (token management, open-source vs. commercial models) and optimize execution latency for production AI features. Cross-Functional Upskilling: Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently. Rapid Prototyping (PoC to Production): Drive the engineering execution of high-impact AI proof-of-
Customs Support Group · JobRemote57y ago
About Customs Support Group Customs Support Group (CSG) is the European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience, all aimed at driving growth and enhancing efficiency. The Role You will take our AI stack and lead its development and customisation for the market. This is a builder and do-er role. You will design, test and implement practical and compliant agentic AI solutions on top of foundation models document understanding, classification support, retrieval over our own procedures and tariff material, and agents that carry multi-step operational work end to end. You are not being asked to train models from scratch. You are being asked to make models that already exist behave reliably enough that operations staff trust them with customs declarations, where being wrong has consequences. Working closely with Operations, Transformation, IT and Group teams, you will turn business needs into scalable solutions. Key Responsibilities • Develop and customise AI solutions for the market, from prototype through to production ownership. • Be curious and prepared to self-learn to use generative-AI to build agents that make a difference to our business • Identify automation and decision-support opportunities across customs and business processes, and size them honestly before building. • Design solutions using generative AI and large language models — retrieval, tool calling, structured extraction from customs documentation, and agentic workflows where they genuinely fit. • Own the evaluation. Define how we know a solution is working before it ships, and how we know a change has not made it worse. This is treated as core to the role, not an afterthought. • Manage pilots and implementat
Photoroom · 🇫🇷 Paris, FranceRemote57y ago
About us Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce. We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide. Role Summary We're looking for a Staff Product Manager to own the AI platform every Photoroom product is built on. Our mission is that any team ships best-in-class GenAI visuals without needing a backend engineer: the primitives, the gateway and the no-code tooling turn adding an AI capability into a configuration step rather than an engineering project. On top of that sits the agentic layer — multi-step visual workflows that generate, check, reason, route and publish on their own. Working closely with engineers, ML researchers, and the product teams who ship on your platform, you'll decide what gets built, why, and how it ships. Location: Paris, (Hybrid) About the role Own the platform every AI feature runs through. Expand and improve our AI gateway, including safeguards, evals, cost and observability, giving teams the ability to ship with little to no code and build skills that we can ship directly to users. Build the agentic layer and Photoroom’s MCP. Visual agents that run multi-step flows: generate, QA, route, retry, publish, all unattended and at catalog scale. Define the problem before the solution. Sharpen the problem, then partner with engineering and research to ship work that feels effortless — for the developers and PMs using the platform as much as for end users. Treat other teams as
Kestra Technologies · EuropeRemote57y ago
About Kestra Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Trusted by over 10,000 organizations worldwide — including JPMorgan Chase, Bloomberg, FILA, and Crédit Agricole — Kestra orchestrates mission-critical workloads at scale. The open-source project has close to 30,000 GitHub stars , hundreds of contributors, and a fast-growing global community. In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face. About the role Kestra orchestrates workflows across systems and domains, and AI agents and LLM-driven workflows are a growing part of that. You will own the product side of AI workflows at Kestra: what we build and for whom. The job is to find the AI use cases worth supporting, validate them with customers, and shape them into product. You would work directly with the founders, the engineering team, and customer-facing colleagues. What you will do Define the AI features, from use cases to roadmap planning Run customer and prospect interviews to validate which AI workflows are worth building Turn validated use cases into specs and reusable blueprints with the engineering team Decide what we do not build, and say so clearly What we are looking for Real experience building AI or developer products, with examples you can talk through in depth Strong product judgment: you can tell a serious use case from a flashy one Technical fluency. You do not need to write the code, but you need to understand agents, orchestration, and integrations well enough to scope them. Direct, low-fluff communication Perks & Benefits Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery. Health coverage: From medical su
intercom · 🇩🇪 Berlin, GermanyRemote57y ago
<div class="content-intro"><p><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p> <p>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 for one single system that is designed to meet the needs of modern day support teams.</p> <p>Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><h2>What's the opportunity? </h2> <p>We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. </p> <p>Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.</p> <p>We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.</p> <p>We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge
Maple Tales GmbH · 🇩🇪 Frankfurt, GermanyRemote57y ago
Maple Tales builds reading and language-learning apps that real schools use every day. A Flutter-based reading app for elementary students, a teacher dashboard, and a white-label language-learning platform running under several school brands. We're a small team, so this isn't a shadowing role: you'll ship real fixes and features into production apps, work directly with the founders, and see your work reach classrooms within days, not sprints. Tasks Ship features and fixes across our Flutter apps, including our student reading app, language-learning app, and teacher dashboard, on both mobile and web. Maintain and extend our white-label language-learning codebase that powers several branded language schools. Work directly with Firebase, from Firestore data and Authentication flows to Hosting deploys and Remote Config. Help us build a real CI/CD deployment pipeline. We already lint and test in GitLab CI. Deployment is still manual today, and we want you to help us change that. Test across browsers, devices, and branded instances to catch inconsistencies before our schools do. Review code, pair with the team on harder bugs, and contribute to technical decisions. Help us understand how students actually use Maple Tales. Instrument new features, analyze user journeys, and turn what we learn into product improvements. Prototype new reading and language-learning experiences and help turn the promising ones into production features. Improve our automated testing and monitoring so we catch regressions before our students and schools do. Build reusable components and internal tooling that make it faster to ship features across our apps and white-label brands. Requirements Enrolled student in Computer Science (Informatik), Business Informatics (Wirtschaftsinformatik), or a related field, available for roughly 20 hours per week during the semester. Based in Germany and legally eligible to work in Germany as a working student. Ideally, you are based in Frankfurt am Main or the su