Jobs in Brazil

TaxTalente ist die Nr. 1 Job-Matching Plattform für Jobsuchende in der Steuerberatung. Sie suchen eine positive berufliche Veränderung? Sie möchten den nächsten Schritt in Ihrer Karriere gehen und streben möglicherweise sogar eine Partnerschaft in einer zukunftsorientierten Kanzlei an? Sie möchten endlich wieder in einem positiven Arbeitsumfeld arbeiten, in dem Sie finanziell und persönlich wertgeschätzt werden? Sie suchen nach Tätigkeiten, die Sie auch wirklich weiterbringen? Sofern Sie sich in mindestens einem der genannten Punkte wiederfinden, sollten Sie sich bei uns melden. Wir haben die attraktivsten Arbeitgeber der Steuerberatungsbranche in unserem Netzwerk und bringen zusammen, was zusammengehört. Grenzenlose Entwicklungschancen mit Partnermöglichkeiten, vielschichtige Tätigkeitsbereiche, Gehälter wie in der Industrie und vieles mehr – melden Sie sich bei uns und wir unterstützen Sie auf Ihrem weiteren Karriereweg! Derzeit suchen wir nach einem Steuerberater (m/w/d) für eine unserer Partner-Kanzleien in Zweibrücken Bei Rückfragen kannst du dich gerne jederzeit (auch nach deinem Feierabend) direkt telefonisch an Herrn Becker-Koch über folgende Nummer wenden: 015901431130 Aufgaben Wir bringen zusammen, was zusammengehört. Dabei spielt das passende Tätigkeitsprofil natürlich eine entscheidende Rolle. Bei unserer Partnerkanzlei können Sie sich Ihren Aufgabenbereich auf Basis Ihrer persönlichen Stärken und Schwächen selbst zusammenstellen. Erstellung und Review von Jahresabschlüssen Erstellung von Steuererklärungen für Personen- und Kapitalgesellschaften Steuerliche Sonderberatungsprojekte auf Basis individueller QualifikationenB. in den Bereichen der Erbschaftsteuer oder des Umwandlungssteuerrechts Begleitung von Betriebsprüfungen Teamleitung und Personalverantwortung (optional) Weitere individuell wählbare Tätigkeitsbereiche, die Ihnen Freude bringen Qualifikation Am Ende sollte es für beide Seiten passen. Deshalb wäre es gut, wenn Sie sich in den folgenden Punkten wiederfinden. Kommunikative Art und Freude am Austausch mit Mandanten Sorgfältige, effiziente und gewissenhafte Arbeitsweise Offen für eine digitale Arbeitsweise Führungsverständnis und Verantwortungsbewusstsein gegenüber Mitarbeitern (optional) Ein erfolgreich abgeschlossenes Steuerberaterexamen Leidenschaft für steuerliche Themen Benefits Sie haben genug von 0815 Benefits, von denen Sie nicht wirklich profitieren? Dann sollten Sie einen Blick auf die nachfolgenden Benefits werfen. Außerordentliche Vergütung von 90.000 € bis 130.000 € / Jahr, auf Wunsch auch Partnerperspektive Flexible Gestaltung der Arbeitszeiten sowie die Option auf Home-Office Nettolohnoptimierung mit monatlichen 50,00€ Sachbezugsgutscheinen Umfangreiche Unterstützung bei Weiterbildungsmaßnahmen wie z.B. Fachberater Qualifikationen Modernste Ausstattung mit digitalen Prozessen Starker Teamzusammenhalt und regelmäßige Teamevents Schnell, unkompliziert und effizient Ihren Traumjob finden – ein Versprechen an Sie, dass wir aufgrund unseres selektiven, breit gefächerten und deutschlandweiten Kanzleinetzwerks halten werden. lhre Vorteile mit uns auf einen Blick: Sie führen keine unsinnigen Bewerbungsgespräche mehr, bei denen Sie während des Bewerbungsprozesses merken, dass es (bspw. wegen des Gehalts) sowieso nicht passt - wir klären vor Ihrem Bewerbungsgespräch all Ihre mit uns besprochenen Kriterien mit der Kanzlei ab. Wir führen Ihre Gehaltsverhandlungen und kennen die Gehaltsstrukturen der Branche dabei bestens. 100% Anonymität – solange Sie uns nicht das „Go“ geben und einem Kennenlernen mit Ihrem neuen potentiellen Arbeitgeber zustimmen, erfährt niemand von Ihrem Namen oder Ihren bisherigen Arbeitgebern – Ihre Ihnen wichtigen Kriterien können wir auch zunächst anonym mit unseren Partnerkanzleien klären. Attraktive Kanzleien – die Kanzleien in unserem breit gefächerten Kanzleinetzwerk sind selektiv ausgewählt und heben sich klar von “normalen” Kanzleien ab (z.B. hinsichtlich der Vergütung, Benefits, Hierarchien, Digitalisierungsgrad, Ausstattung etc.). Und das Beste: Unser gesamter Service ist unverbindlich und völlig kostenfrei für Sie. Find more English Speaking Jobs in Germany on Arbeitnow

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 production rollout on your initiatives is meaningfully shorter. Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review. Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. RequirementsWho You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself. Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked. Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer. A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls. Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move. A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews. Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both. Good to Know An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it. A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them. Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high. Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow

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 production rollout on your initiatives is meaningfully shorter. Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review. Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. RequirementsWho You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself. Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked. Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer. A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls. Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move. A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews. Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both. Good to Know An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it. A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them. Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high. Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow

This is a remote role for candidates located in Porto Alegre, 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 production rollout on your initiatives is meaningfully shorter. Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review. Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. RequirementsWho You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself. Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked. Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer. A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls. Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move. A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews. Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both. Good to Know An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it. A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them. Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high. Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow

This is a remote role for candidates located in Florianópolis, 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 production rollout on your initiatives is meaningfully shorter. Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review. Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. RequirementsWho You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself. Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked. Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer. A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls. Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move. A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews. Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both. Good to Know An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it. A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them. Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high. Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow

This is a remote role for candidates located in Belo Horizonte, 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 production rollout on your initiatives is meaningfully shorter. Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review. Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. RequirementsWho You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself. Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked. Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer. A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls. Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move. A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews. Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both. Good to Know An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it. A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them. Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high. Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow

Somos a Revvo, uma das principais empresas de aprendizagem digital corporativa do Brasil. Temos clientes em mais de 450 empresas da América Latina e treinamos mais de 3 milhões de colaboradores por ano. Estamos aqui para quebrar padrões e ajudar todas as empresas a concretizar seu potencial por meio do desenvolvimento de suas pessoas.Buscamos profissionais alinhados aos nossos valores. Que tenham atitude de dono, focados no sucesso do cliente, com expertise em aprendizagem, que promovam a colaboração e a diversidade e sejam revolucionários em tudo o que fazem.Se identifica com a gente? Então venha revolucionar a aprendizagem digital!MISSÃO/ RESUMO:O Analista de Service Desk é um profissional especializado em fornecer suporte técnico de primeira linha para usuários de plataformas educacionais tecnológicas.Esse profissional atua como a principal interface entre os usuários finais e a empresa, lidando com questões técnicas, esclarecimentos e solução de incidentes.Com profundo conhecimento sobre a plataforma, ele se esforça para garantir uma experiência do usuário sem interrupções e de maneira otimizada.FORMAÇÃO/ CURSOS/ CERTIFICAÇÕES NECESSÁRIAS:Desejável: Superior completo.PRINCIPAIS ATIVIDADES:Atender usuários via telefone, e-mail ou sistema, registrando, categorizando e priorizando as solicitações de forma clara e organizada;Solucionar dúvidas e orientar os usuários sobre o uso correto das plataformas e produtos educacionais da empresa;Acompanhar o status dos chamados, mantendo o usuário informado e garantindo a satisfação com o atendimento;Apoiar atividades de backoffice relacionadas ao suporte, como conferência de dados, atualização de cadastros e registros de interações;Participar de sessões de orientação com usuários, explicando o uso básico das ferramentas e funcionalidades das plataformas;Sinalizar para áreas internas problemas recorrentes ou sugestões de melhorias observadas no contato com os usuários;Contribuir para a criação e atualização de conteúdos de apoio, como perguntas frequentes, guias e tutoriais simples;Trabalhar em conformidade com as políticas internas de atendimento, qualidade e privacidade dos dados.REQUISITOS E DESEJÁVEIS:Experiência anterior em atendimento ao cliente, suporte, call center ou backoffice;Boa comunicação oral e escrita, com foco em clareza, empatia e objetividade;Desejável: cursos ou capacitações em atendimento ao cliente, comunicação assertiva, resolução de conflitos;Ensino médio completo (superior cursando será um diferencial);Familiaridade com sistemas de registro de chamados (JIRA) será um diferencial.Please mention the word ENTHUSIAST and tag ROjox when applying to show you read the job post completely (#ROjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A major Brazilian financial institution specializing in investment banking

Description: A CANTA está em busca de uma pessoa apaixonada por comunicação, criatividade e boas ideias para integrar nosso time de Conteúdo.Principais Atividades Apoio na criação de textos para landing page; Desenvolvimento de e-mails marketing e peças publicitárias.RequirementsExperiência prévia em agência de publicidade;Excelente escrita e domínio da língua portuguesa;Interesse por comunicação, publicidade e marketing digital;Capacidade de adaptar linguagem para diferentes públicos e canais;Organização para lidar com múltiplas demandas;Vontade de aprender, colaborar e crescer em equipe;Noções de SEO e produção de conteúdo para diferentes canais.Please mention the word FLAWLESSLY and tag ROjox when applying to show you read the job post completely (#ROjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Werden Sie Teil unseres wachsenden Unternehmens! Zur Unterstützung unserer Expansion suchen wir ambitionierte und motivierte Talente, die unser Team in verschiedenen Fachbereichen unterstützen! Sie suchen nach Jobs in der IT Branche und können sich für den Bereich der IT-Netzwerk- und Systemadministration begeistern? Dann könnten wir ein super Team werden! Wenn Sie darüber hinaus über gute Deutsch- und Englischkenntnisse verfügen, strukturiertes Arbeiten zu Ihren Skills gehören und Teamfähigkeit kein Fremdwort für Sie ist, könnte das mit uns was richtig Großes werden! Bewerben Sie sich jetzt als Fachinformatiker Systemintegration (m/w/d) und starten Sie mit uns durch in Ihrer neuen Position im Team LANOS! Aufgaben Sie sind ein wichtiger Teil unseres Service Teams und retten unsere Kunden aus diversen Branchen vor kleinen und großen IT-Problemen. Sie planen im Team die IT für ihre Kunden und setzen diese von der Installation bis hin zur Konfiguration und nachhaltigen Betreuung um. Sie betreuen unter anderem Cloud Anwendungen, Netzwerke und Firewalls, Server und Anwendungen im Microsoft Umfeld sowie VoIP Telefonie. Bei technischen Problemen und Störungen beim Kunden sind Sie der Retter in der Not und sorgen dafür, dass der Laden läuft Sie sind beim Kunden vor Ort und helfen ihm mit seiner IT-Technik vom Kabelsalat bis hin zu komplexen Serversystemen. Unsere eigenen Systeme und Prozesse gestalten Sie im Team aktiv mit. Qualifikation Abgeschlossene Ausbildung als Fachinformatiker/in Systemintegration oder Abgeschlossene Ausbildung als IT-Systemelektroniker/in oder Abgeschlossene Ausbildung in einem vergleichbaren Beruf Benefits Vielfältige Weiterbildung Flache Hierarchien Angenehme Arbeitsatmosphäre Selbstverwirklichung Interessante und spannende Aufgaben Menü Lounge Haben Sie noch weitere Fragen zu der Stelle? Gerne beantworte ich sie persönlich! Ich freue mich auf Ihren Anruf oder eine E-Mail. Wenn Sie sich als zukünftiger LANOS-Held sehen, senden Sie uns Ihre Bewerbung zu. Wir sind gespannt darauf, Sie kennenzulernen! Find Jobs in Germany on Arbeitnow

Für einen Kunden suchen wir einen Cyber Security Engineer (w/m/d). Aufgaben Anwenden und Überwachen der TS 50701 und IEC 62443 Normen Identifizieren, Dokumentieren und Analysieren von Schwachstellen sowie Ableiten und Umsetzen geeigneter Schutzmaßnahmen Bearbeiten und Klassifizieren von Cybersecurity-Vorfällen sowie Erarbeiten von Lösungen in enger Abstimmung mit Kunden und Fachabteilungen Mitarbeiten an der Entwicklung sicherheitsrelevanter Systemarchitekturen, Incident-Response-Plänen und Durchführen regelmäßiger Audits Beraten von Projektteams in allen Fragen der IT-/OT-Sicherheit Schulen und Leiten interner Akteure und Teammitglieder zu Cybersecurity-Best-Practices sowie sicherheitsrelevanten Prozessen Qualifikation Abgeschlossenes Studium der Informatik, Informationssicherheit oder vergleichbare Qualifikation Fundierte Erfahrung in den Bereichen Netzwerksicherheit und Verschlüsselungstechnologien Kenntnisse im Umgang mit typischen Sicherheitsbedrohungen und Sicherheitsvorgaben Erfahrung in der Anwendung von IEC 62443 und TS 50701 wünschenswert Ausgeprägte Kommunikations- und Problemlösungsfähigkeit Strukturierte und selbständige Arbeitsweise Sehr gute Deutsch- und Englischkenntnisse Vertragsart: Direkte Festanstellung Standort: Braunschweig Start: asap Dauer: unbefristet Bei Interesse teilen Sie uns bitte Ihre Gehaltsvorstellung sowie Ihre Verfügbarkeit mit. Wir freuen uns auf Ihre Bewerbung in einem Word-lesbaren Format unter Angabe der Referenznummer 4180. Bei Fragen steht Ihnen Nadezda Baldandorzhieva (+49 176 427 481 65) gern zur Verfügung. Find Jobs in Germany on Arbeitnow

Unser Mandant sucht einen Fertigungsteamleiter für Elektrotechnik im Raum Bruchsal. Das Unternehmen ist im Bereich spezialisierte Industrie. Aufgaben Fachliche und disziplinarische Führung eines kleinen spezialisierten Teams Koordination, Strukturierung und operative Leitung Taktung und bedarfsgerechte Verteilung der Arbeitsaufträge im Team Kontinuierliche Qualitätsüberwachung und Endprüfung der gefertigten elektrischen Systemkomponenten Technischer Ansprechpartner bei Fremdvergaben Qualitätskontrolle und Abnahme direkt vor Ort bei Systempartnern Bereitstellung und elektrotechnische Vorbereitung der Maschinen für die weltweiten Inbetriebnahmen Fachliche Übernahme als verantwortliche Elektrofachkraft im operativen Bereich Qualifikation Ausbildung im Segment Elektrotechnik (z. B. Automatisierungstechnik, Systemtechnik) und/oder eine entsprechende Qualifikation als Meister / Techniker Berufserfahrung in der industriellen Elektrofertigung Sicherer Umgang mit komplexen Stromlaufplänen Praxisorientiertes Know-how in der Antriebs- und Regelungstechnik (SPS-Kenntnisse von Vorteil) Erfahrung mit gängigen ERP-Systemen Sehr gute Deutschkenntnisse Benefits 30 Tage Urlaub Flexible Arbeitszeiten Überstundenregelung Weiterbildung Fahrradleasing Die Vergütung spiegelt die strategische Verantwortung dieser Rolle wider. Vorgesehen ist ein fixes Jahresgehalt von 45.000 € bis 60.000 €. Der genaue Einstiegspunkt basiert auf Ihrer nachweisbaren Führungserfahrung (Anzahl der direkt geführten Mitarbeiter), Ihren Erfolgen bei der Optimierung von Abteilungsstrukturen sowie Ihrer Budgetverantwortung. Find more English Speaking Jobs in Germany on Arbeitnow

GMS is an operational consultancy with expertise in data and digital systems. Whether digitalisation, data & analytics or compliance - our consultants are the missing piece of our customer’s digital puzzle. We empower their ongoing digital transformation and transform challenges into opportunities. We're part of the MoOngy Group, a more than 18 years old European network of companies with a focus on IT & Engineering expertise. Tasks The Role: DevOps Engineer – Infrastructure Automation 📍 Location: Bremen, Germany Work mode: On-site, 5 days per week initially 🗣️ Languages: English (C1-C2); German (C1-C2) We are supporting a client in Germany that is strengthening its DevOps and automation capabilities. For this initiative, we are looking for a Senior DevOps Engineer with strong experience in Linux environments and infrastructure automation. This role is focused on supporting customer architects in building and operating a modern development toolchain, with particular emphasis on automating virtual machine provisioning. This role will involve Working closely with customer architects and technical teams Designing and implementing infrastructure automation workflows Automating VM provisioning and configuration Contributing to and maintaining CI/CD pipelines Applying Infrastructure as Code and DevOps best practices Supporting a stable, scalable, and maintainable platform Documenting solutions and participating in technical discussions What we are looking for You are a senior-level professional with solid hands-on experience and the confidence to work autonomously in complex environments. Requirements Must-have experience: Strong Linux systems administration Terraform for infrastructure provisioning Ansible for automation and configuration management GitLab (repositories and CI/CD) General experience with DevOps tools and methodologies At least 5 years of relevant technical experience Nice to have: Docker Kubernetes Packer Experience in industrial or enterprise environments Benefits What you get from us We are a growing company with ambitious targets that stands for expert knowledge, integrity and open-mindedness. As a consultant, you will implement a wide range of projects for our well-known customers and offer them your growing expertise Your development is supported by a coach, further training, our in-house learning platform and an internal IT & data network Work-life balance is important to us - you enjoy home office options, have the choice between regional or Germany-wide projects and our philosophy is a 40-hour week We also offer security and stability - our employees are employed on a permanent basis At GMS we defend equality and diversity. We create a safe and diverse environment where all the opportunities are equal for all the employees. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability or any factor other than merit. All applications with skills for the position are welcome! Would you like to apply with us? Then we look forward to receiving your CV. Find more English Speaking Jobs in Germany on Arbeitnow

Die führende Content-Agentur, für die Fashion- und Lifestyle-Branche in Europa mit Kunden wie adidas, Zalando, P&C u.v.m. Das sind wir: die Wiethe Content GmbH. In den Bereichen Foto, Film und CGI sind wir Marktführer und kreieren medienübergreifend immer neuen Content, der unseren Kunden zielgruppenspezifisch ausgespielt wird. Unser Hauptsitz ist unser 11.000 qm großes Fotostudio in Bremen, in dem wir aktuell ca. 200 Mitarbeiter beschäftigen. Wir suchen einen AI Creative, der uns bei AI-gestützter Content-Erstellung und Workflow-Entwicklung unterstützt. Aufgaben Erstellung und Optimierung von Workflows in ComfyUI – für verschiedene kreative Anwendungsfälle Zusammenarbeit an AI-gestützter Bild- und Content-Produktion Qualifikation Erfahrung in der Erstellung von ComfyUI-Workflows Abschlüsse sind uns egal – wir suchen ComfyUI-Ninjas Gute Englischkenntnisse Benefits Große Marken und internationale Kampagnen Ein sicherer und langfristiger Arbeitsplatz Ein motiviertes Team an Deiner Seite Vielfältiges Aufgabenspektrum Ein Arbeitsplatz bei einem mehrfach ausgezeichneten Arbeitgeber Hohe Eigenverantwortung und Selbstständigkeit Moderner und kreativer Arbeitsplatz Corporate Benefits Business Bike Betriebliche Altersvorsorge U.v.m. Wir bieten die Möglichkeit, on-site an innovativen AI-Projekten mitzuwirken. Wenn du eine Leidenschaft für GenAI, ComfyUI, Kreativität und Workflow-Automatisierung hast, freuen wir uns auf deine Bewerbung! Find more English Speaking Jobs in Germany on Arbeitnow

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SOFTWARE ENGINEER (STARSHIP) The Starship Supply Chain team is building the machine that builds the machine. We are engineering a supply chain to feed Starfactory and support thousands of Starship launches p

Categoria: Tecnologia Localização: Remoto Remoto Brasil ​Curte tecnologia, inovação e tem agilidade no DNA?Então talvez você tenha acabado de encontrar o seu próximo desafio!Na Spassu, estamos com um projeto incrível no ar — e ele está prontíssimo para receber profissionais com aquele algo a mais.Se você é Administrador de Dados, tem perfil inquieto, gosta de aprender e quer crescer junto com uma empresa que valoriza ideias novas, vem com a gente!Aqui, você vai encontrar espaço para expandir seus conhecimentos, aplicar seu talento e fazer parte de algo realmente significativo.Inscreva-se e venha transformar com a Spassu!Os CV's permanecerão em poder da empresa enquanto perdurar o processo seletivo e pelo período adicional de 6 meses, para eventuais processos seletivos futuros, em atendimento a Lei Geral de Proteção de Dados.PRINCIPAIS ATIVIDADES: Manter atualizados os modelos de dados, as estruturas lógicas e físicas dos dados, mantendo-os consistentes de acordo com as regras de negócio. Garantir a qualidade dos metadados considerando a utilidade deles para os diversos setores da empresa. Participar da avaliação de soluções de automação sempre que isto interfira na produção e na utilização da informação, monitorando a implementação dos modelos e conferindo a qualidade do conteúdo das bases de dados, garantindo assim a adequação delas aos objetivos do negócio.Definir a modelagem conceitual, lógica e física das informações necessárias para atender o negócio; Elaborar, propor, manter e atualizar os modelos de dados, garantindo a normalização dos dados, eliminando ou minimizando dados redundantes, promovendo a consistência dos dados no nível do modelo para ser implementado no banco de dados; Definir procedimentos de segurança de acesso aos dados; Redefinir os modelos de dados em função de particularidades na implementação física a fim de melhorar a performance do banco de dados; Levantar as necessidades de distribuição de dados e atuar junto com os DBAs na implementação física; Atuar na modelagem de arquitetura e implantação de sistemas de BI & Big Data e de indicadores e dashboard para suporte a tomada de decisão executiva; Desenhar e desenvolver a arquitetura para serviços de dados em todo o ecossistema de tecnologia e plataforma (Relacional, Analítico, NoSQL), com o objetivo de suportar o consumo de dados pelas aplicações de BI; Promover e desenvolver as melhores práticas em BI, com orientação a resultados e entregas na realização de benefícios, fornecendo consultoria, apoio e mentoria às diversas áreas de negócios, com recomendações e orientação a melhoria contínua, e sustentação do modelo organizacional estabelecido; Participar na elaboração e atualização da metodologia de gestão e governança de dados; Apoiar a especificação de mecanismos de integração como: serviços, especificações ETL, database links e demais mecanismos de integração via SGDB; Elaborar scripts SQL para validações de informações, especificação de relatórios etc.; RequisitosGraduação completa na área de Tecnologia da Informação, ou conclusão de qualquer curso superior acompanhado de certificado de curso de pós-graduação (especialização, mestrado ou doutorado) na área de Tecnologia da Informação de, no mínimo, 360 horas.CERTIFICAÇÃO DESEJÁVEL: Possuir pelo menos uma nos seguintes bancos de dados (Microsoft SQL Server, PostgreSQL, Oracle, DB2, SAPASE, SAP-IQ, MySQL)Experiência desejável: 03 anos de experiência em modelagem de dados e integração de grandes volumes em ambientes analíticos e transacionais.Conhecimento em modelagem relacional e dimensional; SQL avançado, DDL, DML, DCL; Plataformas: Oracle, SQL Server, PostgreSQL, DB2, MongoDB; Ferramentas de modelagem: PowerDesigner, Erwin, CA-Gen; Conhecimento em integrações via SGDBs, Database Links e ETL (ex: Informatica PowerCenter).BenefíciosPlano de SaúdePlano OdontológicoSeguro de VidaVale Alimentação ou RefeiçãoVale TransporteWellHub - GympassDetalhesOriginally posted on Himalayas

About youYou are a delivery-oriented Senior Product Manager who thrives in cross-functional environments where strategic thinking, clear communication, and hands-on execution go hand in hand. You are comfortable bringing structure to complex backlogs, driving alignment across distributed teams, and operating independently within high-expectation consulting environments.You bring a proactive and execution-focused mindset, capable of owning sprint delivery end-to-end while balancing roadmap priorities, stakeholder communication, and product execution. You are confident facilitating Agile ceremonies, managing competing priorities, and translating product strategy into actionable backlog items and measurable outcomes.You also actively leverage AI tools as part of your daily workflow to improve documentation quality, accelerate delivery, streamline collaboration, and support rapid product iteration. You thrive in environments where adaptability, accountability, and continuous improvement are highly valued.You Bring to Applaudo the Following Competencies:Strong Agile/Scrum fluency, including backlog refinement, sprint ceremonies, user story writing, and acceptance criteria definition.Proven experience managing product delivery across ideation, design handoff, development, UAT, release planning, and post-deployment activities.Proven ability to translate product strategy into structured multi-quarter roadmaps and prioritized backlogs.Experience facilitating collaboration across Engineering, Design, and stakeholder groups within cross-functional environments.Strong stakeholder management and communication skills, including presenting updates, priorities, and risks to senior stakeholders.Proficiency with Figma for mockup reviews and design handoff collaboration.Active use of AI-assisted tools such as ChatGPT, Claude, Cursor, or Claude Code within day-to-day product workflows.Ability to leverage AI tools for repository analysis, story generation, rapid prototyping, and workflow optimization.Background in consulting environments or experience within data-centric product organizations. (Highly desirable).Technical or coding knowledge. (Nice to have).Advanced English proficiency (written and verbal).You Will Be Accountable for the Following Responsibilities:Own and maintain a well-groomed backlog: detailed user stories, acceptance criteria, and prioritization aligned with engineering and business needs.Facilitate all core Scrum ceremonies and drive alignment across distributed teams within the client's delivery framework.Lead release planning, UAT, release notes, and usage reporting.Act as the primary product point of contact for the development team and senior stakeholders: regular updates on progress, risks, and priorities.Triage bugs and enhancement requests; manage intake, prioritization, and assignment.Support user interviews and discovery; synthesize findings into backlog recommendations.Ramp into multi-quarter roadmap and strategic prioritization responsibilities as engagement matures.Leverage AI tools actively to improve documentation quality, workflow efficiency, and delivery speed.Strong experience with Agile/Scrum delivery and backlog ownership.Experience managing product delivery across the full SDLC.Proficiency with Figma and cross-functional product collaboration.Active use of AI tools within product management workflows.Advanced English proficiency.About UsWe Are Engineered Different.At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.Originally posted on Himalayas

Verstehen. Inspirieren. Verändern – das sind wir Gemeinsam mit unseren Kunden entwickeln wir ganzheitliche Strategien und Lösungen in den Bereichen Branding, Sales und Organisationsentwicklung, die Menschen berühren und begeistern. Dabei verstehen wir uns als kreative Unternehmensberatung mit hoher Konzept- und Umsetzungskompetenz. So begleiten wir Transformationsprozesse und bringen spürbare ­Veränderungen und gleichzeitig zeitgemäße Strukturen in Unternehmen. Was uns dabei besonders macht? Auf Basis der neuesten Erkenntnisse der Neurowissenschaften stellen wir den Menschen konsequent ins Zentrum all unseres Handelns. Das erwartet dich bei uns Wir beschäftigen uns intensiv mit der Frage, wie KI und Automatisierung reale Geschäftsprozesse effizienter, intelligenter und skalierbarer machen können. Aktuell bauen wir AI-gestützte Workflows und Automatisierungen für Marketing, Vertrieb, Projektmanagement und interne Prozesse auf. Von smarten Content-Prozessen bis hin zu KI-gestützten Assistenz- und Automationslösungen. Dafür suchen wir einen Werkstudenten (m/w/d), der oder die Lust hat, moderne KI- und Automatisierungstechnologien nicht nur auszuprobieren, sondern produktiv einzusetzen und aktiv mitzugestalten. Aufgaben » Entwicklung und Aufbau automatisierter Workflows und Prozesse » Verknüpfung verschiedener Systeme und Tools über APIs » Entwicklung interner Automatisierungen mit Plattformen wie Make, n8n oder Zapier » Testing, Optimierung und Weiterentwicklung bestehender Workflows » Dokumentation und Strukturierung von Prozessen und Automationen » Unterstützung bei der Integration generativer KI in bestehende Arbeitsabläufe » Recherche und Bewertung neuer AI- und Automation-Tools Qualifikation » Studium im Bereich Informatik, Wirtschaftsinformatik, Medieninformatik oder vergleichbar » Interesse an KI, Automatisierung und digitalen Technologien » Erste Berührungspunkte mit APIs, Automatisierungsplattformen oder Low-Code-/No-Code-Tools » Analytisches Denken sowie eine strukturierte und pragmatische Arbeitsweise » Lust, neue Technologien schnell zu verstehen und direkt praktisch anzuwenden » Eigeninitiative und Spaß daran, Dinge auszuprobieren und zu verbessern Pluspunkte, aber kein Muss » Erfahrung mit Make, n8n, Zapier oder ähnlichen Plattformen » Grundkenntnisse in Python, JavaScript oder SQL » Eigene Projekte, Automatisierungen oder GitHub-Beiträge » Interesse an Prozessoptimierung, AI Workflows oder digitalen Geschäftsmodellen Benefits » Flexible Arbeitszeiten und hybrides Arbeiten (mobiles Arbeiten möglich) » Einblicke in die Arbeit einer etablierten Markenagentur mit neurowissenschaftlichem Ansatz » Mitarbeit in einem interdisziplinären Team mit flachen Hierarchien » Möglichkeit, eigene Ideen einzubringen und umzusetzen Das bieten wir dir » Mitarbeit an echten KI- und Automatisierungsprojekten mit praktischem Unternehmens-Bezug » Hohe Eigenverantwortung und viel Gestaltungsspielraum » Direkte Zusammenarbeit mit Strategie, Vertrieb und Geschäftsführung » Kurze Entscheidungswege und Offenheit gegenüber neuen Lösungen » Ein Umfeld, in dem neue Technologien nicht nur diskutiert, sondern umgesetzt werden » Flexible Arbeitszeiten und hybrides Arbeiten » Wöchentliche Arbeitszeit von durchschnittlich 16 Stunden (flexibel einsetzbar) » vor Ort in Bremen Find more English Speaking Jobs in Germany on Arbeitnow

​​​​​​​Für unseren Store in Bremen suchen wir ab sofort einen Store Manager / Filialleiter (m/w/d) in Vollzeit Du bist eine leidenschaftliche Führungskraft, die etwas bewegen möchte. Du leitest ein motiviertes Team und managst die Herausforderungen eines großen Fashion-Stores. Reserved ist eines der am schnellsten wachsenden Fashion Unternehmen. Wir kombinieren die neuesten Modetrends mit zukunftsweisenden Technologien. Aufgaben Du bist verantwortlich für deinen Store und repräsentierst das Unternehmen nach Außen Die Performance deines Stores ist dein Antrieb, du entfaltest sein volles Potential Du sorgst für die Einhaltung der Vorgaben und der Qualitätsstandards Mit dem Regionalleiter und dem HR Business Partner arbeitest du eng zusammen Deine Mitarbeitenden führst du fair und engagiert mit Fokus auf ihre Weiterentwicklung Du sorgst für eine angenehme Shopping- und Arbeitsatmosphäre Qualifikation Mehrjährige Einzelhandelserfahrung auf großen Verkaufsflächen Sicherer Umgang mit Reports, KPIs und Benchmarks Fundierte Erfahrung in der Mitarbeiterführung und -entwicklung sowie im Recruiting Actiongeladene, aufgeschlossene Führungspersönlichkeit Ganzheitliches Denken, Hands-on-Mentalität und Prozessorientierung Affinität zu modernen Technologien, Software und Systemen Benefits Work-Life-Balance: 30 Urlaubstage für die perfekte Auszeit von der Arbeit Moderne Arbeitswelt im Einzelhandel: Innovative Systeme und klare Prozesse Attraktive Rabatte für Mitarbeitende: 25% auf unser Sortiment und Dresscode Budget Benefit Card: Monatliche Beladung deiner Pluxee Guthaben-Karte (bis zu 520€ im Jahr) Bike Leasing: Moderne Mobilität mit unserem attraktiven Bike Leasing Angebot Rabatte bei Partnern: Exklusive Vergünstigungen für deine Freizeitgestaltung Vorsorge für die Zukunft: Profitiere von unserer betrieblichen Altersvorsorge für Sicherheit im Alter LPP Hilfsprogramm "HELPP": Erhalte Unterstützung durch unsere kostenlose Fachberatung in verschiedenen Lebensbereichen GESTALTE DEINE ZUKUNFT MIT UNS Bewirb dich jetzt als Store Manager / Filialleiter (m/w/d) in Bremen! Reserved räumt allen Menschen gleiche Chancen ein, ohne Ausgrenzung oder Diskriminierung. Find more English Speaking Jobs in Germany on Arbeitnow

Sie lieben es, wenn Zahlen stimmen und Prozesse rundlaufen? Dann sind Sie bei unserem Kunden genau richtig! Wir suchen für unseren Mandanten eine engagierte Persönlichkeit, die nicht nur die Entgeltabrechnung im Griff hat, sondern auch Lust hat, moderne HR-Prozesse weiterzuentwickeln. Unser Kunde ist auf die Entwicklung und Fertigung von Spezialprodukten ausgerichtet. Diese Produkte finden überwiegend industrielle Anwendungen, insbesondere in Bereichen, die hohe Anforderungen an Materialschutz und -sicherheit stellen. Darüber hinaus engagiert sich die Firma in der Entwicklung fortschrittlicher Materiallösungen, die auf spezifische Kundenbedürfnisse zugeschnitten sind. Ihre Kompetenzen umfassen unter anderem die Produktion von beschichteten Materialien, die in verschiedenen Industriezweigen zum Einsatz kommen. Aufgaben Ihre Aufgaben – Abwechslung garantiert: Sie übernehmen die komplette Entgeltabrechnung – zuverlässig, korrekt und unter Berücksichtigung aller steuer-, sozialversicherungs- und arbeitsrechtlichen Regelungen Die Pflege von Personal- und Zeitdaten in SAP R/3 HR gehört zu Ihrem Tagesgeschäft Sie sind Ansprechperson für unsere Mitarbeitenden, Führungskräfte, Krankenkassen und Behörden Sie erstellen Bescheinigungen, Meldungen und Dokumente und pflegen die digitalen Personalakten Sei arbeiten eng mit externen Dienstleistern zusammen Sie bringen eigene Ideen zur Optimierung der HR-Prozesse ein, unterstützen aktiv bei Projekten und packen im Tagesgeschäft der Personalverwaltung mit an Qualifikation Ihr Profil – das bringen Sie mit: Abgeschlossene kaufmännische Ausbildung, idealerweise ergänzt durch eine Weiterbildung zur/zum Personalfachkauffrau/-mann Mindestens 3 Jahre relevante Berufserfahrung in der Lohn- und Gehaltsabrechnung Fundierte Kenntnisse in Lohnabrechnungsprogrammen und gute SAP R/3 HR-Kenntnisse Sehr gute Kenntnisse im deutschen Steuer-, Sozialversicherungs- und Arbeitsrecht Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift Strukturierte, selbstständige und sorgfältige Arbeitsweise Kommunikationsstärke, Teamgeist und ein hohes Maß an Empathie Begeisterung für HR-Themen und lösungsorientiertes Denken Benefits Ein herzliches, unterstützendes Team Flexibles Arbeiten und Homeoffice-Möglichkeiten Moderne Tools & Prozesse – kein Papierchaos Persönliche Weiterentwicklung wird großgeschrieben Attraktive Zusatzleistungen und ein Arbeitsumfeld, in dem Sie sich wohlfühlen können Wir freuen uns auf Ihre Bewerbung! Find Jobs in Germany on Arbeitnow