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Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24?48 hours of completing onboarding .

Wir suchen eine:n Business Development Manager:in für unseren Standort in München, der/die aktiv neue Kund:innen gewinnt und das Wachstum von Nelly konsequent vorantreibt. Was dich in der Rolle als Business Development Manager:in erwartet: Als Business Development Manager:in qualifizierst du neue Leads, sprichst gezielt Entscheider:innen an und führst den Sales-Prozess von der ersten Kontaktaufnahme bis zum Abschluss. Du erkennst Wachstumspotenziale frühzeitig, arbeitest zielorientiert an Abschlüssen und bringst Markt- und Kundenfeedback in enger Zusammenarbeit mit Marketing, Customer Success und Product ein. Über Nelly Wir bauen das AI-Driven Financial Operating System für das europäische Gesundheitswesen und lösen so die größten Herausforderungen für Patient:innen und Praxen. Damit schaffen wir, was keine Bank oder Softwareplattform bewältigen kann. Unsere All-In-One Plattform verwandelt chaotische administrative Prozesse in intelligente, automatisierte Arbeitsabläufe, von der Patientenbetreuung über die Abrechnung bis hin zu Zahlungen der nächsten Generation. Denn wir sind davon überzeugt: Das Gesundheitswesen sollte weniger mit Papierkram und mehr mit Menschen zu tun haben. Warum? Europa ist mit einem massiven Mangel an medizinischen Fachkräften konfrontiert. Wenn wir die Arbeitsweise von Praxen nicht überdenken, wird das System nicht mithalten können. Mit unserer Series B Finanzierung in Höhe von über 50 Millionen Euro von Weltklasse-Investoren setzen wir unsere Vision in die Tat um. Was uns ausmacht: Wir arbeiten mit dem besten Team und geben gemeinsam jeden Tag alles. Wir setzen auf Talent Density, weil außergewöhnliche Menschen alle um sie herum besser machen. Bei Nelly bewegen wir uns schnell und erwarten, dass alle mithalten. Stillstand ist keine Option, deshalb investieren wir stark in Weiterentwicklung. KI ist bei uns kein Nice-to-have. Wir erwarten, dass du sie täglich nutzt und geben dir alle Möglichkeiten, dies zu tun. Du bekommst Vertrauen und Verantwortung, dafür erwarten wir, dass du Dinge ansprichst, auch wenn es unbequem ist. Deine Rolle bei Nelly: Du gewinnst aktiv neue Partner:innen : Von der Identifikation potenzieller Leads über den Erstkontakt (inkl. Kaltakquise), Pitch & Demo bis hin zum erfolgreichen Vertragsabschluss übernimmst du den gesamten Sales-Funnel. Du berätst medizinische Einrichtungen auf Augenhöhe : Du verstehst ihre Herausforderungen und entwickelst gemeinsam mit ihnen die passende Lösung aus unserem Produktportfolio. Du führst souveräne Verhandlungen : Ob Praxisinhaber:in, Ärzt:innen oder Verwaltungsleitung – du überzeugst verschiedene Entscheidungsträger:innen mit Empathie, Klarheit und Verhandlungsgeschick. KPI-getriebenes Arbeiten: Du arbeitest datenbasiert, steuerst deinen Funnel effizient und behältst deine Ziele und Kennzahlen stets im Blick Das bringst du mit: Erste Erfahrung im B2B-Vertrieb , idealerweise im SaaS- oder FinTech-Bereich – oder du überzeugst uns mit deinem Drive und Lernhunger . Keine Scheu vor Kaltakquise : Du gehst proaktiv auf Menschen zu und siehst in jedem Gespräch die Chance, echten Mehrwert zu schaffen. Starke Kommunikationsskills : Du kannst komplexe Sachverhalte klar, empathisch und verbindlich vermitteln – schriftlich wie mündlich. Motivation, Disziplin und Resilienz zeichnen dich aus – du bleibst dran, auch wenn es mal herausfordernd wird. Neugier & Struktur : Du stellst gezielte Fragen, um die Bedürfnisse deiner Gesprächspartner:innen wirklich zu verstehen, und gehst systematisch vor. Sehr gute Deutschkenntnisse (C2) und solide Englischkenntnisse helfen dir, mit unseren Kund:innen und Kolleg:innen erfolgreich zusammenzuarbeiten. Diese Rolle ist nichts für dich, wenn: du keine Lust auf Kaltakquise hast und lieber auf eingehende Leads wartest du dich unwohl fühlst, aktiv auf Entscheider:innen zuzugehen und Gespräche zu eröffnen du lieber bestehende Accounts betreust, statt neue Kund:innen zu gewinnen du Abschlüsse nicht feierst und Sales-Ziele dich eher stressen als motivieren du ein sehr klar strukturiertes Umfeld brauchst und wenig Freude an Eigenverantwortung hast Was wir bieten: Einen Dienstwagen nach bestandener Probezeit Deutschlandticket oder Swapfiets-Mitgliedschaft, damit du schnell unterwegs bist Urban Sports Club-Mitgliedschaft, damit Bewegung und Ausgleich nicht zu kurz kommen 500€ L&D Budget, um dich weiterzuentwickeln 28 Urlaubstage, steigen, bis 30 Tage erreicht sind Flexible Arbeitszeiten und ein Hybrid-Setup Bis zu 4 Wochen Workation Ein hundefreundliches Büro mit guter Atmosphäre und einem Team mit dem es Spaß macht zu arbeiten Snacks und ein Kühlschrank voller kalter Getränke Unser Interview Prozess: erstes Online Gespräch mit jemanden aus dem Talent Acquisition Team: 30 Minuten vor Ort Gespräch inklusive Nelly Pitch: 60 Minuten Online Gespräch mit einem Hiring Manager: 45 Minuten Wir freuen uns über Bewerbungen von Menschen aller Geschlechter (m/w/d) und unabhängig von Herkunft, Alter oder Hintergrund. Wenn du überzeugt bist, dass du für diese Rolle genau richtig bist - auch wenn dein Lebenslauf nicht zu 100% aufs Anforderungsprofil passt - erklär uns, warum. Find more English Speaking Jobs in Germany on Arbeitnow

About ALPAMI At ALPAMI we're building a boutique hospitality brand. ALPAMI operates 200+ keys across the Black Forest, Switzerland, Tirol, and Munich — spanning City Boutique Houses, Tiny Houses in Nature, and Properties as a Service. We're not chasing stars; we're chasing 5-star experiences delivered in our own, unmistakably boutique way. We're bootstrapped, founder-led, and growing fast — with a clear target of 500 units next year. That means the operational engine behind our guest experience needs to scale just as fast, and that's exactly where you come in. The Role We're looking for an Operations Manager who reports directly to the MD and, from our Munich HQ, keeps the operational engine behind our guest experience running: you make sure our Customer Care team always has the relevant information at hand, support them in guest communication, and steer our local stakeholders on site. You are the nerve center of ALPAMI's day-to-day: the person who sees every property, every process, and every issue before it becomes a problem — and who fixes it before the guest even notices. This is not a job for someone who wants a quiet 9-to-5. We're a fast-growing, founder-led company, and we need someone who understands what that actually means in practice: unpredictable days, fast decisions, and a genuine sense of ownership over the outcome. We expect high reachability, hospitality is a 365 day business. If you don't agree with that, this might not be the right choice for you. What You'll Do Own operations end-to-end — surveil and continuously improve operational processes and management standards across our entire portfolio of properties Be the single point of contact for our Customer Care team, provide them with relevant, up-to-date property information (access details, house rules, local specifics, open issues) so every guest gets a fast and correct answer Assist with guest communication — step in on complex requests, special cases, and escalations, and help keep our tone and response times consistently on brand Steer our local stakeholders on site — make sure the guest journey is smooth at every locationMonitor and act on operating room KPIs — occupancy, ADR, RevPAR, guest satisfaction scores, response SLAs, and the other numbers that tell you where to focus next Carry out on-site visits in coordination with our Operations Lead whenever quality checks, partner onboarding, training, or problem-solving require an on-the-ground presence Prioritize ruthlessly — you always know what needs fixing right now versus what can wait, and you make that call fast Solve issues immediately — you're hands-on by nature and would rather fix something yourself in the next ten minutes than schedule a meeting about it next week Lead and develop operational team members as we scale, setting the standard for how ALPAMI runs Champion guest happiness as a non-negotiable core value — every decision you make is filtered through "does this make the guest experience better?" What You Bring (Must-Haves) 2–5+ years of experience in hospitality operations Bilingual in German and English (spoken and written) Strong written communication skills, clear, warm, and solution-oriented with guests, colleagues, and partners alike A genuine hands-on mentality — you fix things yourself, immediately, rather than escalating by default Strong prioritization skills and the judgment to resolve issues on the spot Stress resistance, you stay clear-headed and effective when multiple things go wrong at once Willingness to travel occasionally for on-site visits to our properties An understanding that joining a fast-growing company means flexible hours and a workload that doesn't always fit neatly into Monday–Friday, 9-to-5 Customer happiness as a core personal value, not just a KPI Nice-to-Have Experience leading a team Experience in guest communication or customer care, ideally in hospitality Deep technical understanding of hospitality tech tools (e.g. PMS, channel managers, guest communication platforms, revenue management systems) Familiarity with AI, you don't step away in challenge yourself and your workflows with AI A driver's license Experience opening new locations/properties What We Offer Direct reporting line to the Managing Director — your work has visibility and impact from day one A front-row seat and real influence on our path to 500 units next year — you won't just support our growth, you'll be one of the reasons it happens The autonomy of a founder-led, bootstrapped company: fast decisions, no bureaucracy, real ownership The chance to shape what "operational excellence" means at ALPAMI as we scale A team that believes 5-star experiences aren't about star ratings — they're about how we treat every single guest A fair, competitive salary A nice office in Munich Frequent team events Wellpass membership for your physical and mental well-being Sound like you? We'd love to hear from you. Apply with the button on this page. Find Jobs in Germany on Arbeitnow

About Alma At Alma, we believe that commerce should be balanced and sustainable. Our mission is to put finance back where it belongs: at the service of merchants and consumers. We build Buy Now Pay Later solutions that help merchants increase sales while enabling consumers to manage their budget responsibly. Today: 25,000+ active merchants 10 million consumers served 4.8/5 on Trustpilot Our team has grown from 2 to more than 400 people and we continue to expand across Europe. About the role As a Customer Care Officer , you will play a key role in ensuring a smooth and reliable experience for both merchants and consumers using Alma in the Netherlands. This position is part of our international expansion , and you will contribute directly to supporting our growth in the Dutch market. You will handle customer and merchant requests, resolve complex issues, and help improve our operational processes to deliver a high-quality experience. This role is based in Lille , with 2 days of remote work per week . Occasional weekend shifts may be required (approximately twice per quarter). Your main responsibilities will include: 💬 Customer & merchant support Handle complex requests from merchants and consumers via email and phone Guide users in the use of Alma's payment solutions Provide clear and helpful responses while ensuring a high level of customer satisfaction ⚙️ Operations & process management Manage debt collection actions and follow up on payment delays Ensure smooth onboarding of new merchants and help them implement the Alma solution Monitor cases and ensure issues are resolved efficiently 📈 Continuous improvement Identify recurring issues and share insights to improve processes and tools Contribute to quality reviews and operational improvements Support the onboarding and training of new team members as the team grows About you You would be a great fit if you: Have strong written and verbal communication skills in Dutch, French and English Are customer-oriented , empathetic and solution-driven Are organized and rigorous in your work Are autonomous and resourceful when solving problems Are comfortable working in a fast-growing environment A first experience in customer support, operations or similar roles is a plus. Why join Alma Offices in Paris (10th arrondissement) and Lille – Euratechnologies Health insurance fully covered for you and your family Meal vouchers (Swile) Sustainable mobility package Choice of laptop (Mac or Windows) Regular team events and internal talks Recruitment process The process includes: Introductory interview with Talent Acquisition Online test Interview with the Team Lead or Operations Manager Team fit discussion with members of the Operation teams Find more English Speaking Jobs in France on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Search has become the default way consumers discover where to shop, compare options, and decide what to buy across platforms like Google, TikTok, and even Klarna. As we build a new Ads business and evolve Marketplace into a best in class shopping experience, improving search is one of our highest leverage investments to create an experience users choose and merchants want to invest in. What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For You have previous work or internship experience working with Javascript/Typescript. You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor's degree in a related field. Base Pay Grade J Equity Grade 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $130,000 - $180,000 USA base pay range (all other U.S. states) per year: $115,000 - $165,000 Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits Designed For You Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Search has become the default way consumers discover where to shop, compare options, and decide what to buy across platforms like Google, TikTok, and even Klarna. As we build a new Ads business and evolve Marketplace into a best in class shopping experience, improving search is one of our highest leverage investments to create an experience users choose and merchants want to invest in. What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For You have previous work or internship experience working with Javascript/Typescript. You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor's degree in a related field. Base Pay Grade J Equity Grade 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $130,000 - $180,000 USA base pay range (all other U.S. states) per year: $115,000 - $165,000 Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits Designed For You Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Adecco is hiring Material Handlers in Ajax! Our client is recognized as one of the world's leading logistics providers. In this role you will be responsible for Loading and unloading products for customer orders. This role requires the ability to lift up to 50lbs with previous RF scanner experience. If this describes you apply today! Pay rate : up to $20.60/hour Location: Oshawa, ON Shifts Available: Wednesday to Saturday | 9:00am - 5:30pm Job type : Temporary | Full-time Vacancy Status: This posting is for an existing vacancy . Why Apply? Paid weekly accurate and on time Strong health and safety programs Medical and dental benefits once qualified Free training programs New and quicker onboarding process Responsibilities: Loading and unloading products Reads production schedule, customer orders, work orders, shipping orders, or requisitions to determine items to be moved, gathered, or distributed Conveys materials and items from receiving or production areas to storage or other designated areas Sorts and places materials or items on racks, shelves, or in bins according to predetermined sequence, such as: size, type, style, color, or product code Fills requisitions, work orders, or requests for materials, tools, or other stock items and distributes items to production workers or assembly line Assembles customer orders from stock and places orders on pallets or shelves, or conveys orders to packing station or shipping department Marks materials with identifying information Opens bales, crates, and other containers Records amounts of materials or items received or distributed Weighs or counts items for distribution to ensure conformance to company standards Arranges stock parts in specified sequence for assembly by other workers </p