Remote Jobs für Digitale Nomaden

This is a remote role for candidates located in São Paulo. About 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 calls. • You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers. • You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome. What You'll Own • The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong. • Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase. • Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM. • The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2–4 weeks post-launch and share the "did it work" answer. • A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar. Problems to Solve Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest? Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome? Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2–4 weeks after launch? What Success Looks Like (Year 1) • Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved their metric (with the post-launch review to prove it). • Agent workflow that travels — The prompts, evals, and review loop you built are picked up by peers on other initiatives. • Faster cycle time — Median time from problem-framing to first productio

Here at Clerky, we build software to make legal paperwork easier for startups and their attorneys. We're profitable and growing sustainably. We're the most popular way for high-growth technology startups to form, and are also used by many top-tier startups for hiring and fundraising. As a Customer Operations & Writing Specialist at Clerky, you will be the voice of the company to thousands of startup founders, investors, and attorneys. These customers use Clerky to get critical legal paperwork done, often on a tight timeline. Our success is based on word-of-mouth, so we have a strong culture of providing world-class service (ask us about our satisfaction ratings!). We are rabidly customer-centric. What Makes Customer Operations Different at Clerky It’s a lot harder here. Helping our customers can be unusually challenging due to the nuanced and specialized nature of their questions. Doing the job well can require a lot of iterative feedback, so we're looking for someone who thinks critically about their writing and is always looking for ways to improve. Along the way, you'll also pick up a lot of knowledge about startups and startup law. The challenges never stop. The level of learning and craftsmanship that goes into writing responses to our customers requires intense focus. If you’re looking for the kind of position where you can easily master all the information at the beginning and work in a way that does not require intense focus, this position will probably not be a good fit for you. On the other hand, if you love learning and constantly challenging yourself, this position could be a good fit for you. There are often no right answers. We’re often not able to provide definitive answers to the questions we receive. In many cases, the best we can do is to equip our customers with the information they need to be able to figure out the right answer on their own, or to understand that it isn’t possible to figure out what the right answer is. If you prefer an environment more oriented around providing definitive answers, this position may not be a good fit for you. Minimum Requirements • Genuine love for helping people • High emotional intelligence • Logical / analytical thinker • Exceptional written English communication skills, including the ability to write precisely and succinctly • Extremely detail-oriented • Comfort with working remotely and independently • Technologically savvy - you should be confident in your ability to use new software without training • Appreciation for giving and receiving feedback often (often several times a day) • Natural internal motivation to constantly strive for excellence in everything you do How We Work • Clerky has been remote-first for many years, long before COVID. We’re very familiar with working remotely, and enjoy it. • Our team is small, so everyone's contributions matter. We work efficiently, autonomously, and with great respect for each other. • We work openly and collaboratively. We’re here to support you in being successful in this role. You'll work closely with other team members to ensure our customers are getting the best possible support and experience. • Everyone on our team works hard, and we trust team members to know what will help them be most productive. Schedules are flexible as long as there is adequate team coverage. • We want to help you grow, so we have a budget for books, courses, tools, or whatever other educational resources you need to be successful. • We offer top-of-market compensation and benefits and the opportunity to learn a lot while helping our customers through an exciting time in their lives. Responsibilities • Writing thoughtful and empathetic replies to customer emails using our help desk software, Help Scout • Writing and maintaining help center articles, and identifying topics for new articles based on customer inquiries • Working with our engineering team to debug software issues our customers encounter • Using our software to develop and manage new ways for our customers to complete legal paperwork • Assisting product team by testing new features and bug fixes, and conveying customer feedback • Spotting trends in customer issues that other team members should be alerted to This is a 100% remote position. You'll be able to work from home (or from anywhere else). We offer top-of-market compensation and benefits, reasonable hours, and reasonable customers. No legal experience or background is necessary or preferred. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

ABOUT THE ROLE: Supabase is the backend more than 7 million registered developers reach for when they want to ship fast: database, auth, storage, and APIs in one platform. AI coding assistants now account for a meaningful share of the development happening on Supabase: agents writing migrations, provisioning infrastructure, and querying databases through the MCP server https://supabase.com/docs/guides/ai-tools/mcp and agent skills https://supabase.com/docs/guides/ai-tools/ai-skills. When agents have the wrong context or defaults, the result is a broken schema or a misconfigured policy. Getting the abstractions right is the whole job. You own the MCP server, agent skills, and the evals that tell you whether any of it is working. WHAT YOU'LL BE RESPONSIBLE FOR: - Rethink the PM job when most users are agents. Defaults, error messages, breaking changes, naming, deprecations, docs: every product decision behaves differently when an AI coding tool sees it before a human does. Apply that lens to your own roadmap and to product decisions across Supabase. - Talk to customers across the full spectrum. Indie developers shipping side projects, startups choosing an AI stack, enterprise teams running agents in production. Find the blockers and bring them back to the roadmap. - Own the problem statement and requirements behind every agent tooling bet. Define what we're building and why before engineering picks up a spec. Capture the evidence behind each decision, name the constraints, and give the team a target it can hit. - Decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between agent plugin requests, MCP improvements, discoverability work, and reliability — and defending those calls when stakeholders push back. - Define how each launch is measured before it ships. Set the metric before engineering starts: developer activation, task completion, and AI eval scores. Track whether it moved after launch and use that to sharpen the next call. - Keep engineering, design, and leadership aligned. Agent tooling spans the MCP server, CLI, SDK, and dashboard. Communicate the roadmap, surface dependencies early, and keep stakeholders pointed in the same direction. YOU MIGHT BE A GOOD FIT IF YOU: - Have 7+ years of product management experience on developer tools, or an ex-founder with strong product instincts. You're technical enough to dive in: read an architecture doc, follow a design discussion, ask the right questions. - Have a clear point of view on what makes infrastructure agent-friendly. You use AI coding tools and agent harnesses daily, track what Anthropic, OpenAI, and the AI community ship week to week, and have opinions about the primitives developers need to build agent-native products. You've shipped something that put those opinions to the test. - Are biased toward speed. You'd rather ship something imperfect and learn than spend another sprint refining a spec. You know when to stop planning and start building. - Build with what you own. You use the products on your roadmap: connecting to Supabase through the MCP server, building with the CLI, testing how agents respond to different tool configurations. You develop opinions through first-hand use. - Use AI to move faster. You use AI tools for research, drafting, and synthesising feedback. More time goes to judgment calls. - Work async by default. Supabase is fully remote. You make decisions in writing and move threads forward without meetings. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - 280+ team members - 55+ countries - 20+ languages spoken - $500M raised - 500,000+ communit

This is a remote role for candidates located in Campinas (Brazil) About 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 calls. • You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers. • You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome. What You'll Own • The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong. • Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase. • Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM. • The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2–4 weeks post-launch and share the "did it work" answer. • A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar. Problems to Solve Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest? Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome? Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2–4 weeks after launch? What Success Looks Like (Year 1) • Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved their metric (with the post-launch review to prove it). • Agent workflow that travels — The prompts, evals, and review loop you built are picked up by peers on other initiatives. • Faster cycle time — Median time from problem-framing to first pr

Cyrantos is partnering with a leading asset management firm to find a highly experienced Data Engineer to join their team. This is a remote position with a start date as soon as the candidate successfully completes the interview process. Monthly B2B salary: 21,000 - 25,000 PLN net. About the Role: As a Data Engineer, you will join our client’s data and engineering team to design, maintain, and evolve the core data platform that supports key investment and analytical workflows. You will work in …

Cyrantos is partnering with a leading asset management firm to find a highly experienced Senior Data Engineer to join their team. This is a remote position with a start date as soon as the candidate successfully completes the interview process. Monthly B2B salary: 24,000 - 29,000 PLN net. About the Role: As a Senior Data Engineer, you will join our client’s data and engineering team to design, maintain, and evolve the core data platform that supports key investment and analytical workflows. You…

FRS Systems ist eine Tochtergesellschaft der FRS GmbH & Co. KG - einem der weltweit führenden Spezialisten in der maritimen Fährindustrie. Unsere Leidenschaft ist es, Software- und IT-Lösungen zu entwickeln, Netzwerke zu schaffen, Menschen weltweit miteinander zu verbinden und die Kraft großer Ideen zu teilen, um unseren Kunden die besten IT-Lösungen zu bieten. Zur Verstärkung unseres IT-Teams am Standort Flensburg (Schleswig-Holstein) suchen wir einen Informationsbeau ftragten / Information Se…

ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Staff Data Analyst, GTM to join our Data Intelligence team and help build the analytical foundation that powers Supabase's growing sales org. You'll work closely with Sales, Customer Success, and GTM Ops, helping us connect the dots between systems, data, and strategy -- turning raw signals into trusted data products and actionable insight for GTM leadership. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building something from the ground up alongside a scaling sales team. WHAT YOU’LL BE RESPONSIBLE FOR GTM Data Products - Build and own the canonical data products that Sales, CS, and GTM Ops rely on -- ARR, pipeline, account health, expansion signals, and renewal tracking - Define and document GTM metric standards so the whole org is working from consistent definitions - Build and maintain the underlying data models that power GTM reporting and analysis Stakeholder Partnership - Serve as the dedicated analytical resource for Sales, Customer Success, and GTM Ops leadership - Translate business questions into clean analytical specs and deliver decision-ready findings - Build self-service tools and context layers that enable GTM teams to answer their own questions -- the goal is scale, not dependency - Own the GTM analytics function end-to-end, from data model to business strategy Systems and Data Connectivity - Connect the dots between CRM, product usage, and billing data to give GTM teams a complete picture of the customer - Identify gaps and inconsistencies across systems and work cross-functionally to resolve them AI-Powered Analysis - Use AI tools to accelerate analysis, increase output, and go deeper than a traditional analyst workflow allows - Help establish AI-forward ways of working within the Data Intelligence team and model that approach for the broader GTM org YOU MIGHT BE A GOOD FIT IF YOU - Have 6+ years in analytics with meaningful time directly supporting Sales, Customer Success, or GTM Ops - Have built data models and BI layers from scratch, not just consumed them -- you understand the full stack from raw source data to business-facing output - Are comfortable working with CRM, product usage, and billing data and know how to connect them into a coherent picture of the customer - Have experience in a PLG or usage-based business and understand how self-serve signals translate into sales motion - Think in terms of self-service and scale -- your instinct is to build tools that make GTM teams independently capable, not to become a bottleneck - Can hold both the technical and strategic context at once -- you're as comfortable in a data model as you are in a conversation about territory design or expansion strategy - Are AI-forward in how you work -- you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do - Communicate insights clearly to non-technical stakeholders and know how to make data land in a business conversation - Thrive in async, autonomous environments and are energized by building something from the ground up WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - 280+ team members - 55+ countries - 20+ languages spoken - $500M raised - 500,000+ community members We move fast, bu

Wir suchen ab sofort: Architekt / Bauingenieur (m/w/d) Bereich Brandschutz in 97353 Wiesentheid Wir sind ein modernes Ingenieurbüro mit alten Wurzeln. Unsere vielfältigen Projekte umfassen vor allem die Bereiche Stahl- und Stahlleichtbau in den Leistungsphasen 1 – 6 , aber auch im Massivbau, Grundbau und Holzbau sind wir tätig. Neben dem konstruktiven Hochbau bieten wir unseren Kunden auch Leistungen auf dem Gebiet der Bauphysik an. Unsere Kunden schätzen an uns unsere lösungsorientierte, wirts…

Eigenständig – Individuell – Genossenschaftlich Die M-Wert GmbH - Der Markt macht den Wert. Wir unterstützen seit vielen Jahren Kreditinstitute bei der Bewertung von Immobilien. Die M-Wert GmbH wurde 1999 als Tochtergesellschaft der Münchener Hypothekenbank gegründet. Damit ist sie die erste Bewertungsgesellschaft der Genossenschaftlichen FinanzGruppe und führt das Gütesiegel „Approved by HypZert“. Ob Wohn- oder Gewerbeimmobilien: Mit Ihren Bewertungen geben Sie Finanzierungsvorhaben eine verlä…

Die M-Wert GmbH - Der Markt macht den Wert. Wir unterstützen seit vielen Jahren Kreditinstitute bei der Bewertung von Immobilien. Die M-Wert GmbH wurde 1999 als Tochtergesellschaft der Münchener Hypothekenbank gegründet. Damit ist sie die erste Bewertungsgesellschaft der Genossenschaftlichen FinanzGruppe und führt das Gütesiegel „Approved by HypZert“. Ob Wohn- oder Gewerbeimmobilien: Mit Ihren Bewertungen geben Sie Finanzierungsvorhaben eine verlässliche Grundlage. Als Sachverständiger (m|w|d) …

À propos de notre client Acteur innovant de la cybersécurité , notre client développe une plateforme SaaS de résilience des identités permettant de protéger les systèmes critiques des entreprises contre les modifications accidentelles ou malveillantes. Ses solutions s’adressent à des ETI et grands groupes internationaux (environnements complexes >100K utilisateurs), avec une présence commerciale forte en Europe et aux États-Unis (80 % du chiffre d’affaires) . Leur proposition de valeur repose …