Remote Dev Jobs
23 jobs available
Valsoft CorporationRemote3w ago
Headquarters: Canada Description Lighthouse Software Group is an operating group of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft acquires and builds mission-critical software companies serving highly specialized industries and holds them for the long term. With 150+ companies and 4,000+ employees across 20+ countries, Valsoft’s decentralized model empowers businesses to operate independently while benefiting from operational best practices and long-term capital. Lighthouse is responsible for sourcing, acquiring, and operating vertical market software companies globally. As we continue to grow, we are seeking driven individuals who want to join the team! About the Role We are looking for an AI-native full stack engineer to join one of the leading software companies within our portfolio. Our platform powers mission-critical workflows for organizations that depend on it every day, and we are actively expanding it through AI capabilities and entirely new software products. This role is designed for engineers early in their careers who want to build a lot, learn quickly, and take real ownership. You will work across both an established production platform and new AI-driven products. We are especially interested in people who see themselves as builders. The best candidates are curious, ambitious, and constantly experimenting with new tools. They build side projects, explore AI models, and look for opportunities to improve systems rather than waiting for instructions. You will work closely with a senior engineer who has built and scaled production systems and will provide direct mentorship as you grow. As the engineering team expands, there is also a clear leadership runway for someone who wants to take increasing ownership and eventually help lead the team. This is a profitable, stable company with real customers and real infrastructure. The company operates within Lighthouse Software Group, part of Valsoft, a global
Stability AIRemote1mo ago
Headquarters: Los Angeles, CA or Remote (United States) Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D. As the Senior Product Engineer, Growth & Lifecycle Infrastructure , you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products — greenfield across web, desktop, plugin, and mobile. You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account. This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG — the systems, how they live inside the product, and how they drive real conversion. What you'll do… Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements — including writing defensible recommendations with cost model and tradeoffs Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device Build and attribute the full growth funnel across paid, organic, partner, and in-product virality Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habit, and expansion Ship free-to-paid logic: trial mec
ClickHouseRemote1mo ago
Headquarters: Germany (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! Join us in building the AI layer for Observability! ClickStack is the open-source observability platform we're building at ClickHouse — logs, metrics, traces, and session replays unified so engineers can find root causes quickly. The interesting work now is in the agent layer: systems that can investigate an incident at 2 AM, propose a root cause, and hand the on-call a concise summary by the time they've logged in. We're hiring an AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience. If you've been building agents, designing skills, and wiring up MCP servers — and you've hit the limits of generic copilots for production work — we'd like to talk. What you'll do Build agents that investigate incidents. They surface anomalies, answer "why is production broken?", and use ClickStack as their substrate. Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch. Own the agent sta
SuperPlaneRemote1mo ago
Headquarters: USA URL: https://superplane.com We are hiring a product engineer to join SuperPlane and own meaningful projects end to end. This is a remote role. We currently work across GMT+2 to GMT-3 and welcome candidates in that range. At SuperPlane, we don't split engineering into frontend and backend. Everyone is a well-rounded builder who moves across the stack, makes product and technical calls, asks for help when needed, and delivers features from start to finish. You might spend one day building an API endpoint or workflow engine improvement, and the next day polishing a React surface that users touch every day. We're looking for someone at a mid-level to senior level: you've shipped real products, you can work independently, and you're ready to grow fast in a high-trust, high-pace environment. You don't need to have done everything before, but you need to learn quickly and take ownership of what you build. What We Are Looking For You are genuinely full-stack. Your workflow is AI-driven and you know how to stay fast without getting sloppy. You have strong backend experience in a systems-oriented language. While we use Go, we don't expect you to be an expert already, just to ramp up fast. You have solid systems judgment. APIs, data models, reliability, and trade-offs matter to you. You're comfortable with TypeScript and React -- the modern frontend stack. You are comfortable with cloud-native tooling and modern software delivery. You want ownership, not a narrow lane. You want an early-stage company where the pace is high, the standards are high, and the upside is big. How To Apply We care more about proof of work than polished applications, and we want to see how you show up in open source. Before you apply, submit at least one pull request to superplanehq/superplane. It can be small and it does not need to be merged. When you apply, send your GitHub username and a link to your pull request. We verify both, and applications missing either field will not mov
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
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
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
Lyto Brands Group GmbH · 🇩🇪 Düsseldorf, GermanyRemote57y ago
Build AI-powered tools and automations that make our Marketing, Creative, Operations, and Engineering teams 10x faster and better. You'll build on top of our proprietary platform, Lyto.OS, and continuously develop it further together with our Tech Team. The team currently consists of an AI Engineer + a Software Developer + the CTO. Tasks You identify automation and AI opportunities across the entire company – in direct exchange with the teams, close to the real workflow instead of at the whiteboard. You build AI-powered workflows for Marketing & Creative: briefing generation, copy review, asset QA, and ad-performance summaries – along our trend-to-product cycle of under one week. You develop quality-assurance and anomaly-detection tooling for our proprietary platform, LYTO.OS. You ship lightweight internal agents that take over repetitive work – so people can focus on what truly needs them. You own internal operations automation end-to-end: reporting pipelines, approval flows, and cross-system data syncs across our 15 microservices. You scope, prioritize, build, ship, and iterate – with full ownership and a short path from idea to production. Requirements You're an excellent engineer who builds software that carries real load in production – clean, pragmatic, and free of bloat. You know our stack (PHP/Laravel & Python, Vue/React, MySQL, Docker, DigitalOcean) or pick it up effortlessly. You haven't just built LLM systems – you've run them in production, with everything that really entails: cost, latency, evals, edge cases, monitoring. Hands-on experience with Claude Code, the Anthropic Agent SDK, or multi-step AI agents in production. You extend AI tooling via MCPs and custom integrations against real data sources. Depth in LLM workflows: prompt engineering, tool use, structured outputs, RAG – and the judgment to choose the right tool for each problem. You think entrepreneurially and product-driven: you talk to users, question requirements, cut scope decisively, and
Bling · 🇩🇪 Berlin, GermanyRemote57y ago
Deine Mission Wir bauen den ersten Payment-Dienstleister, mit dem Schulen und Kitas in Deutschland wirklich alles bargeldlos abwickeln können und suchen Verstärkung. Als Product Engineer im Bling Schule Team übernimmst du von Tag eins an echte Ownership: viel Freiheit, kurze Wege und die Chance, ein Produkt von Grund auf mitzugestalten und unsere bestehenden Systeme weiterzuentwickeln. Du shippst Features end-to-end, bist also von der ersten Idee über die Entwicklung bis zum Launch verantwortlich. Dabei triffst du gemeinsam mit unserem CTO und unserem Lead Developer die technischen Entscheidungen, die zählen und ihr funktioniert dabei wie ein eigenes kleines Startup im Startup. Am Ende trägt deine Arbeit direkt dazu bei, dass Bling Schule zu der robusten, sicheren und skalierbaren Plattform wird, auf der Zahlungen für tausende Familien und Schulen reibungslos laufen. Deine Aufgaben Du entwickelst gemeinsam mit unserem CTO und unserem Lead Developer Bling Schule weiter, von ersten Ideen über die technische Konzeption bis zum Go-live neuer Features. Du gestaltest und optimierst die technische Infrastruktur (u. a. Node.js/TypeScript-Services, Datenbanken, AWS-Umgebung), die bargeldlose Zahlungen zuverlässig, sicher und skalierbar macht. Du bringst dich aktiv in Architekturentscheidungen ein und denkst mit, wie sich Bling Schule technisch weiterentwickeln sollte, statt nur Tickets abzuarbeiten. Du stehst im direkten Austausch mit unseren Kund:innen, sammelst Feedback aus dem Schul- und Kita-Alltag und setzt daraus Lösungen um, die einen echten Unterschied machen. Du übernimmst Ownership für die Themen, die du mitgestaltest – inklusive Code-Qualität, Tests und einem sauberen, wartbaren Setup. Dein Profil Du hast bereits praktische Erfahrung als Full Stack Web Developer gesammelt und schon einmal eigenverantwortlich Software gebaut, von der Idee bis zum Release, egal ob im Job oder in einem eigenen App- bzw. Software-Projekt. Du bringst Kenntnisse in modernen Web-Technolo
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>As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy.</p> <p>Learn more about our engineering culture at <a href="http://intercom.engineering/">intercom.engineering</a></p> <h2>What will I be doing?</h2> <p>As an experienced engineer you will:</p> <ul> <li> <p>Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they.</p> </li> <li> <p>Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on increment
Lendable · 🇬🇧 London, United KingdomRemote57y ago
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're building a larger, dedicated Platform team at Lendable, increasing our investment in the infrastructure that enables our products and engineering teams to scale. We're hiring a Technical Product Manager to sit within Engineering and connect platform technology, reliability and commercial value. You'll own what we prioritise and why, giving engineers the business context they need while helping Product and leadership understand the impact and opportunities that Platform enables. This is a hands-on technical IC role, where you'll stay close to engineering through writing code, reviewing PRs and contributing to
Distribusion Technologies · JobRemote57y ago
About us Distribusion is the world’s leading ground transportation marketplace and gives travellers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com . We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. The opportunity We’re looking for an experienced Senior Product Engineer to own and evolve our core systems end-to-end. You’ll join our engineering team and work closely with product, operations, and data stakeholders across the business. Your work will power high-scale systems used by both internal operators and external users, directly impacting large volumes of real-world activity. What you will do: Build a customer-facing transit schedule system that handles hundreds of thousands of bus departures daily. The system serves hundreds of thousands of travellers and is used by hundreds of operators, including operations teams, revenue managers, and planners. Build a ticket booking backend that allocates bus seats to travellers. Design smart allocation strategies to maximise seat usage across stops, and handle complex reallocation scenarios such as vehicle swaps, bus merges, and reinforcements. Build a revenue management system that dynamically prices seats based on time to departure, demand, and remaining capacity. Support carrier-controlled pricing, A/B testing, and automated pricing algorithms. Own and evolve the data transformation layer that powers schedules, bookings, and revenue. Design robust models, incremental pipelines, and clear semantic defin
0G · RemoteRemote57y ago
About the Role We’re looking for a product engineer who takes ownership of outcomes, not just assigned tasks. You’ll work across 4–5 products with different technology stacks, identify high-value problems, and carry solutions through design, implementation, testing, documentation, delivery, and operation. What You'll Do Understand our apps and the 0G stack well enough to improve the shared platform, not only one feature. Solve root causes and make durable decisions using shared systems instead of introducing band-aids or duplicated solutions. Own features end-to-end across UI, APIs, server logic, infrastructure, and deployment; do not stop at the layer you are most comfortable in. Build and improve AI-agent infrastructure, including LLM streaming, tool orchestration, sandboxed execution, and security boundaries around untrusted code. Understand wallet-based identity, signing, embedded and external wallets, and server-side authorization without conflating wallet connection with application access. Independently manage dependencies, reviews, blockers, and delivery while raising genuine product decisions and risks early. Raise the bar through meaningful tests, sharp PR reviews, and living documentation that stays true to the product. Be open to adopting new technologies, AI tools, and better working practices. Be reliable enough that when you own an area, the rest of the team can confidently focus on building and expanding other products. Treat “done” as delivered, verified, and operating—not merely coded or test-green. Run what you ship with structured logs, traces, metrics, dashboards, alerts, first-line technical support, optimization, and ongoing support for internal teams and external users. Technical background: Strong end-to-end TypeScript and React experience across client, server, API design, and serverless or edge runtimes. Remix, Next.js, Vite, and Cloudflare Workers experience is valuable. Experience building LLM-powered products beyond basic API calls, inc
Distribusion Technologies · JobRemote57y ago
About us Distribusion is the world’s leading ground transportation marketplace and gives travellers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com . We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. The opportunity We are searching for high-impact Senior Product Engineers to join our eComm Solutions teams . In this role, you’ll be shaping the core B2B product that connects global carriers, retailers, and travel partners to Distribusion’s infrastructure. Our Portal is the central interface for our ecosystem, spanning high-performance booking and analytics tools, identity management, and operational dashboards. You’ll work across multiple domains, driving architectural decisions, integrating complex flows, and collaborating with teams across Data, Platform, and eCommerce to deliver a seamless, scalable experience. We’re looking for a developer who thrives on ownership, loves solving hard problems, and wants to build the backbone of how the world books ground transportation. What you will do: Write clean, efficient, and well-documented Python code. Develop and maintain backend services and APIs within a web project. Successfully implement the backend of business-critical applications. Collaborate with cross-functional teams to design and implement new features. Debug, test, and optimise applications for performance and scalability. Improve development workflows: CI, PR reviews, local testing, and release processes that keep iteration fast and friction
ANGEHEUERT GmbH · HomeofficeRemote57y ago
Senior Product Engineer Technisch anspruchsvolle Produkte entstehen nicht durch Standardlösungen. Unser Kunde entwickelt hochpräzise Baugruppen für Anwendungen in Medizintechnik, Halbleiterindustrie und analytischer Hightech. Als Senior Product Engineer bewertest du technische Anforderungen, entwickelst wirtschaftlich umsetzbare Lösungen und begleitest Produkte von der ersten Idee bis zur erfolgreichen Serienfertigung. Dabei kombinierst du Entwicklungsarbeit mit technischem Verständnis für Fertigung, Machbarkeit und industrielle Umsetzung. Deine Benefits als Senior Product Engineer Top Gehalt: Jahresbruttogehalt ab 70.000 Euro mit klarer Bereitschaft zur Überzahlung bei außergewöhnlich passendem Profil. Hightech Umfeld: Du arbeitest an anspruchsvollen Projekten in Medizintechnik, Halbleiterindustrie und analytischer Präzisionstechnologie. Technische Verantwortung: Hohe Eigenverantwortung für komplexe Produkte von der Konzeptphase bis zur Serienreife. Kompetenzaufbau: Nach deiner Einarbeitung entwickelst du laufend neue Fähigkeiten in technologisch anspruchsvollen Zukunftsfeldern. Verpflegung: Abwechslungsreiche Mahlzeiten mit großzügigem Essenszuschuss. Mobilität: Kostenloses Tirol Jobticket nach der Probezeit oder Firmenparkplatz. Gesundheit: Sportkurse, Fitnessraum, Coaching und präventive Gesundheitsangebote unterstützen dein Wohlbefinden. Bike Leasing: Privates Bike Leasing mit monatlichem Arbeitgeberzuschuss. Teamkultur: Kollegiales Engineering Umfeld mit hoher Umsetzungsstärke und ausgeprägter Hands-On Mentalität. Sicheres Umfeld: Langfristige Projekte in einem etablierten, wachstumsstarken Unternehmen mit jahrzehntelanger Marktpräsenz. Deine Aufgaben als Senior Product Engineer Technische Kundenberatung: Zentraler technischer Ansprechpartner für anspruchsvolle Kunden in Hightech Zukunftsbranchen. Angebotsbewertung: Bewertung neuer und komplexer Kundenanfragen hinsichtlich technischer Machbarkeit und wirtschaftlicher Umsetzbarkeit. Produktentwicklung: Technisc
MedMatic GmbH · 🇩🇪 Munich, GermanyRemote57y ago
Über uns Der zunehmende Kostendruck im deutschen Gesundheitswesen stellt Krankenhäuser vor eine große Herausforderung: Sie müssen immer komplexere Anforderungen erfüllen, um ihre erbrachten Leistungen vollständig und korrekt vergütet zu bekommen. Gleichzeitig arbeiten bereits mehr als 80 Prozent der deutschen Krankenhäuser defizitär. Mit unserer KI-Lösung unterstützen wir bereits zahlreiche öffentliche, private und kirchliche Krankenhäuser in ganz Deutschland dabei, den gesamten Prozess von der Behandlung bis zur Bezahlung zu automatisieren und zu optimieren. Unser Leistungsspektrum reicht von der automatisierten Ermittlung der richtigen Abrechnungscodes auf Grundlage der Patientenakte über die Verbesserung der Dokumentationsqualität bis hin zur Steuerung von Liegedauern. So entlasten wir Krankenhäuser entlang des gesamten Aufgabenspektrums des Medizincontrollings. Aufgrund der stark wachsenden Nachfrage suchen wir nun tatkräftige Unterstützung für unser kleines, ambitioniertes Team. Aufgaben Deine Aufgaben neue Anforderungen aus Kundengesprächen schnell in Prototypen und produktionsreife Lösungen übersetzen unsere bestehende KI-Pipeline verbessern, stabilisieren und erweitern technische Demos, Piloten, Integrationen und Rollouts mit umsetzen interne Tools und Workflows bauen, die Produkt, GTM und Operations schneller machen Qualität, Reliability, Security und Skalierbarkeit schrittweise verbessern Qualifikation Dein Profil starker Builder mit Software-Engineering-Fundament Full Stack, sicher in Python, APIs, Backend, Datenpipelines und Frontend Erfahrung mit AI-Workflows und LLMs Großes Interesse am Gesundheitswesen. Pluspunkte für Medizininformatik-Spezialisierung oder Vergleichbares gutes Produktgefühl und Lust auf unklare, reale Probleme statt enger Tickets kommunikationsstark und gerne nah an Kunden, Piloten und Rollouts Deutsch auf C2-Niveau Standort München bevorzugt Benefits Was dich erwartet Einblick, wie man im AI-Zeitalter ein profitables Startup aufbaut
Clera · 🇩🇪 Berlin, GermanyRemote57y ago
About the Role This is a high-ownership product engineering role at a fast-growing, widely adopted open-source AI engineering platform — think the observability layer for the LLM era. The company is trusted by major enterprises and thousands of developers worldwide, with tens of millions of monthly SDK downloads. Product engineers here own the full lifecycle of a feature: from talking to users and writing the spec, through shipping the code, to writing the docs and the public changelog post. No handoffs — you see features through from user problem to production. Recent examples of features owned by a single engineer include a major agents release, a TypeScript SDK rewrite on OpenTelemetry, and a hosted MCP server for prompt management. That's the scope and ambition of this role. What You'll Do Own features end-to-end — user calls, spec writing, implementation, documentation, and public-facing changelog posts. No handoffs, full accountability. Work the full stack — React frontend, Next.js backend, ClickHouse analytics, and Python/TypeScript SDKs. You touch whatever the feature demands. Build in the open — write code that ships to the open-source community, respond to GitHub issues, review public PRs, and contribute to developer-facing documentation. Talk to users — participate in user interviews and translate feedback into product decisions and engineering solutions. Contribute to platform observability — work on tracing, monitoring, evaluation pipelines, prompt management, and cost/latency analytics. Maintain and distribute SDKs — help evolve and maintain client libraries used by a large developer community. What We're Looking For Must-haves (dealbreakers): 5+ years of professional software engineering experience building production-grade systems Located in the EU with the legal right to work in the EU — visa sponsorship is not available Able to travel to Berlin and be on-site approximately one week per month Required skills & experience: Ability to work EU timezone
Clera · 🇩🇪 Berlin, GermanyRemote57y ago
About the Role A fast-growing, seed-stage enterprise AI platform company in Berlin is looking for a talented Full-Stack Product Engineer to join their small, high-impact engineering team. Founded in 2023 and backed by top-tier investors, the company builds a comprehensive, security-first AI platform that helps organisations securely adopt and integrate generative AI — from everyday chat and workflows to fully custom AI agents — all within a compliant, European-hosted environment. This is a full-time, on-site role in Berlin. You'll work closely with the Chief Product Officer and cross-functional teammates to own features end-to-end and ship AI-powered capabilities that drive enterprise adoption at scale. What You'll Do Contribute to the development of product features across the AI platform, from technical design through to user-facing implementation. Build end-to-end solutions spanning frontend ( Next.js ), backend ( Node.js ), and database layers. Collaborate with the design team and customers to gather insights and iterate on product features. Implement user interfaces including full screens, reusable components, and complete user flows. Maintain and optimise the codebase for performance and user experience. Participate in rotating Support Engineer duties, periodically shifting focus to assist customers and the customer support team alongside the rest of the engineering team. What We're Looking For Required 2+ years of professional Software Engineering experience. Bachelor's degree in Computer Science or an equivalent technical field. Proficiency with Next.js , TypeScript , and Node.js . Hands-on experience with PostgreSQL , Redis , Prisma , tRPC , and Tailwind CSS . Proven track record of delivering features end-to-end — from concept to production — in a full-stack environment. Experience building AI-powered product features and integrating AI capabilities into enterprise applications. Experience participating in customer support rotations or directly supporting
Passionfroot · 🇩🇪 Berlin, GermanyRemote57y ago
About Passionfroot Creator-led growth is one of the fastest-growing channels in B2B—and we’re building the infrastructure behind it. Passionfroot is the leading platform where modern companies scale creator-led growth, and where top creators manage and monetize brand partnerships. Our customers include some of the most ambitious, fastest-moving companies in the world—Replit, HubSpot, Figma, Cursor, Gamma, Attio, Intercom, and ElevenLabs. We help them run high-impact creator programs across LinkedIn, YouTube, newsletters, and more. We're growing 13x in revenue year over year, profitable, and just closed our Series A round! We are backed by leading investors including Insight Partners , Creandum , Supernode and founders and operators from Cursor, Anthropic, n8n and more. We're expanding fast across New York, Europe, and Brazil - and we're just getting started. We’re still a small team, which means the people who join now will have an outsized influence on the product, the engineering culture, and the company we become. About the role We’re looking for a Senior or Staff Product Engineer to help build the next generation of Passionfroot. You’ll work across the full stack on both our core platform and Zest, our AI Campaign Manager for creator marketing. That could mean designing a new workflow for managing creator campaigns, making collaboration data feel instant, or turning models, search, and product context into a reliable AI experience that customers can trust. We don’t separate “AI engineering” from “product engineering.” AI is becoming part of how the product works, but great product fundamentals still matter: understanding the user, shaping the problem, choosing the right architecture, building a thoughtful experience, and operating it reliably in production. You’ll work closely with the founders, design, and customers to take important problems from early exploration to shipped product. We’re a team of six engineers, and staying small is deliberate. It means you
Ygo · Remote EURemote57y ago
YGO.ai is a VC-funded AI tourism platform looking for a Product Engineer who uses AI to ship fast. ⚠️IMPORTANT: This is not a traditional coding role. You'll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user. Also: we have no QA team, you OWN the quality of what you ship! 🌱 Full ownership: every engineer at YGO owns their work end-to-end (IC + DRI). There is no architect handing you designs and no lead reviewing over your shoulder. Within your area, you are the architect . Our pod leads are spokespeople and coordinators, not technical gatekeepers. Growth path: we identify future pod leads from within. If client conversations, coordination and product planning appeal to you, say so. It's a genuine plus, never a requirement. 🧑💻 What you'll actually do: Own features end-to-end: from specs to deployment to fixing bugs Use Claude Code to generate Golang backend code Review AI output for quality and architectural fit Fix bugs to learn our codebase, then rapidly build new features Make quick decisions on what to build vs buy vs generate with AI Talk to customers when they report issues and ship fixes same day 📚 Our stack: Backend: Go monorepo (no framework, 3+ services) Hosting: PaaS-managed containers, local setup fully mirrors production via Docker Compose Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Asynq queue Databases: PostgreSQL, Redis AI tooling: Claude Code (mandatory) 🚢 Products you will build: An AI search & recommendation engine for major travel enterprises: enterprise integration work (SSO, GDS integrations) with demanding customers A content enrichment API: high-scale, data- and AI-focused backend work Platform: internal tooling, agentic systems, API connections to supplier and business client platforms, data ingestion pipelines, LLM providers ✅ You must have: Ownership mentality with a strive for elegantly simple, high-quality solutions Strive fo