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Ihre Aufgaben Marketingstrategie & Produktlaunch: Du entwickelst gemeinsam mit den Gründer:innen unsere Marketingstrategie und gestaltest den Launch unserer Produkte aktiv mit, von Messaging über Kampagnen bis zu Events. Partnerschaften & Kooperationen: Du identifizierst, verhandelst und steuerst Marketing-Kooperationen mit Technologiepartnern, Industriekunden und Hochschulen, von der ersten Ansprache bis zu gemeinsamen Projekten und Kampagnen. Go-to-Market: Du planst und steuerst Kampagnen entlang des gesamten Funnels. Über Website, SEO und Content baust du eine Inbound-Maschine, die qualifizierte Leads aus der Industrie bringt, und du unterstützt Outbound mit Zielkundenlisten und passenden Kampagnen. Events: Du entscheidest, welche Messen und Konferenzen für unser Wachstum zählen. Die Marketingseite von Industrieevents liegt bei dir, von Messaging und Lead-Erfassung über das Follow-up bis zu Speaking Slots für das Team. Markt & Wettbewerb: Du beobachtest den Robotik-, Automatisierungs- und Deep-Tech-Markt, erkennst Lücken in der Positionierung und bringst sie in Strategie und Produkt ein. Marketing-KPIs: Du definierst, misst und berichtest die Kennzahlen, die zählen: Pipeline-Beitrag, Conversion, Cost per Lead und Funnel-Entwicklung. Daraus leitest du Entscheidungen ab, statt nur Reports zu verwalten. Sales Enablement: In enger Abstimmung mit den Gründer:innen unterstützt du Vertrieb und Business Development mit Pitch-Material, Use Cases, Case Studies und Produktkommunikation für konkrete Verkaufssituationen. Investorenkommunikation: Du verfasst regelmäßige Investor-Updates und gestaltest die Storyline unseres Pitch Decks mit. Ihr Profil Erfahrung: Du hast mindestens fünf Jahre im Marketing gearbeitet, davon einen Teil in einem Startup oder Scale-up, in dem du Marketing mit aufgebaut hast. Du hast mindestens einen größeren Produktlaunch begleitet und kannst erzählen, was funktioniert hat und was nicht. Neugier: Interesse an komplexen Technologien und die Motivation, tief in die Robotik einzutauchen, technische Zusammenhänge zu verstehen und verständlich zu vermitteln. Zahlen: Du setzt dir messbare Ziele und weißt, wie du sie nachhältst. Google Analytics, CRM-Software und A/B-Tests gehören zu deinem Arbeitsalltag, nicht in fremde Hände. Verhandlung auf Augenhöhe: Du bist sicher im Gespräch mit potenziellen Partnern und Kunden. Du findest heraus, was sie brauchen, und schätzt ein, ob ein Lead es wert ist, weiterverfolgt zu werden. Arbeitsweise: Du übernimmst gerne Verantwortung und arbeitest gleichzeitig eng mit anderen zusammen. Du wechselst zwischen Strategie und Umsetzung, ohne eines von beidem aus dem Blick zu verlieren. Schreiben: Du schreibst gut und gerne selbst. Aus einem technischen Gespräch mit einem Engineer machst du eine Case Study oder Website-Copy, die Einkäufer:innen in der Industrie verstehen. Sprachen: Deutsch und Englisch verhandlungssicher. Warum wir? Marketing von Grund auf: Es gibt kein Playbook und keine Altlasten. Du gestaltest gemeinsam mit den Gründern, wie Cell Labs an den Markt geht, und siehst die Wirkung deiner Arbeit direkt in der Pipeline. Alles unter einem Dach: Büro, Werkstatt und Teststände liegen im selben Gebäude in Kreuzberg. Wenn du eine Story für eine Case Study brauchst oder den Roboter in Aktion sehen willst, ist der Engineer ein paar Schritte entfernt, kein Ticket. Room to Fail & Grow: Bezahlte Lernzeit mit persönlichem Budget für Kurse, Marketing-Konferenzen und die Tools, die du brauchst. Du bekommst Raum, Neues auszuprobieren, und bringst ein Produkt an den Markt, das bisher kaum jemand gesehen hat. Benefits: Ein Leistungspaket, das du dir selbst zusammenstellst und das Mobilität, Gesundheit, Ernährung oder Fitness abdeckt. Dazu gibt's einen zusätzlichen bezahlten freien Tag im Jahr für ehrenamtliches Engagement oder ein Projekt, das dir am Herzen liegt. Find more English Speaking Jobs in Germany on Arbeitnow

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in. Our purpose is to positively impact people's lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier. We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do. The Brand Marketing Manager will play a key role in the regional Ninja marketing team, driving the development and execution of marketing commercialization plans across Central European markets that drive profitable and sustainable growth for the business. This role will be a Maternity Cover. This role will own the product , marketing plans and assortment execution plans (incl. go-to-market plans), drive marketing plans and work closely with in-country cross functional teams to help ensure excellence of execution. You'll help build and execute integrated marketing plans that resonate with Central European consumers, support commercial goals, and strengthen our presence in the region. Working cross-functionally with local sales teams, the social marketing team, trade marketing, PR, and the wider global marketing team, you'll bring insight, creativity, and precision to the day-to- day of driving performance. The ideal candidate works well independently, brings a strong sense of ownership and personal responsibility, and is collaborative by nature — with the drive to help create the impossible! Roles and Areas of Responsibility Develop and implement Central Europe specific marketing strategies aligned to local consumer needs and retailer priorities. Partner with the Global Marketing Hub to support Marketing across in-store and online execution across the region. Build category understanding: track price, positioning, competitive landscape and market needs; digest insights and help shape recommendations on product assortment and roadmap. Execute the category portfolio and lifecycle, from introduction to end-of-life. Deliver category/brand positioning strategies, product concepts and pricing input with the goal of increasing marketability and sales. Help spot potential obstacles early, flagging issues and proposing solutions during the commercialization process. Communicate the value proposition of products to the sales team and support development of sales tools. Partner with internal stakeholders to report on performance, insights, and optimizations on a periodic basis. Work closely with local Sales and Retail teams to support activation across key accounts, helping drive conversion and brand visibility. Track campaign performance, report on KPIs, and help refine plans to improve ROI and in-market effectiveness. Build strong working relationships with Central European retail partners, supporting distribution-focused initiatives. Mandatory: German and Englisch language (both fluent/native level) Frankfurt based Attributes and Skills Ability to work in a fast-paced, detail- oriented & deadline -driven environment. Resourceful, well organised , highly dependable, and efficient. Able to take ownership of projects and manage them independently to completion. High energy level with ability to multitask and adapt to changing direction. Strong written and verbal communication skills . Solid presentation skills. Highly analytical. Education and Experience Educated to degree level in marketing or equivalent. 8 - 10 years of Marketing and/or Category Management experience within consumer goods. Significant experience in a senior marketing role or channel/distribution role, ideally with a focus on Central Europe retail environment (working with consumer electronics retailers is a plus). A strong record of delivering commercially successful marketing campaigns across physical and digital retail channels. Proven project management skills and ability to work across functions and geographies. Solid analytical capabilities, with an understanding of performance metrics and ROI. A collaborative, proactive approach with strong communication skills in German and English (Polish language skills a plus). Strong PowerPoint and Excel skills. Creative thinking and problem-solving skills . Experience with financial analysis to make marketing recommendations. Experience leveraging consumer insights to support marketing programs and campaigns. Our Culture At SharkNinja, we don't just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company—you're part of an outrageously extraordinary community. To gether, we won't just launch products— we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions , please refer to this Candidate Privacy Notice . For candidates based in China , please refer to this Candidate Privacy Notice . For candidates based in Vietnam , please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at Find more English Speaking Jobs in Germany on Arbeitnow

Einleitung Du willst nicht nur Kampagnen "mitlaufen lassen", sondern selbst am Hebel sitzen und sehen, was dein Budget wirklich bewegt? Dann lies weiter. Wir sind neaSOL , ein junges, wachsendes Unternehmen im Bereich Photovoltaik. Wir bauen Photovoltaikanlagen – sauber, schnell und auf höchstem technischen Niveau. Und das ist nicht nur so dahingesagt: Von GoodWe , einem der führenden Hersteller weltweit, wurden wir als digitalste und schnellste Firma des Herstellers ausgezeichnet. Bisher haben wir unser Performance Marketing über externe Agenturen laufen lassen. Jetzt holen wir das ins eigene Haus – und dafür suchen wir dich. Als Performance Marketing Manager verantwortest du unsere bezahlten Kampagnen von A bis Z: Du entscheidest, wo unser Budget den größten Hebel hat, testest, optimierst und baust unser Inhouse-Marketing mit auf. Bei uns bist du kein Rädchen im Getriebe, sondern Teil eines familiären, dynamischen Teams, das schnell umsetzt. Aufgaben Deine Aufgaben Du planst, baust und steuerst unsere Paid-Kampagnen auf Meta (Facebook/Instagram) , TikTok und bei Bedarf Google Ads Du verantwortest das Media-Budget und optimierst laufend nach ROAS, CPA und weiteren KPIs Du entwickelst Targeting-, Bidding- und Testing-Strategien (A/B-Tests von Creatives, Zielgruppen, Platzierungen) Du sorgst für sauberes Conversion-Tracking (Pixel, Conversion-API) und behältst deine Zahlen im Reporting im Blick Du arbeitest Hand in Hand mit unserem Content- und Design-Team und gibst datenbasiertes Feedback, welche Reels und Creatives performen Du bringst eigene Ideen ein, um unser frisch aufgebautes Inhouse-Marketing kontinuierlich besser zu machen Qualifikation Dein Profil Mehrjährige Erfahrung im Media Buying / Performance Marketing – ob inhouse oder aus der Agentur Sicherer Umgang mit dem Meta Business Manager und TikTok Ads Manager Fundiertes Verständnis von Tracking, Attribution und Kampagnenmetriken Analytische, zahlengetriebene Arbeitsweise – und trotzdem ein Gespür dafür, welche Creatives ziehen Eigenständigkeit und Lust, etwas von Grund auf mit aufzubauen Sehr gute Deutschkenntnisse Benefits Was wir bieten Eine Hersteller - ausgezeichnete Firma (digitalste und schnellste Firma des Herstellers) mit echtem Wachstum Volle Verantwortung für dein Budget und kurze Entscheidungswege – du gestaltest unser Inhouse-Marketing mit Ein familiäres, dynamisches Team, das zusammenhält Immer die besten Tools und modernes Equipment Ein paar Worte zum Schluss Du musst nicht die Photovoltaik-Branche in- und auswendig kennen – aber du solltest Lust haben, ein Produkt zu vermarkten, das wirklich Zukunft hat, und den Anspruch mitbringen, Kampagnen ständig besser zu machen. Wir freuen uns darauf, dich kennenzulernen. Bewirb dich unkompliziert über Join – ein Lebenslauf (und gern ein paar Cases oder Zahlen deiner bisherigen Kampagnen) reicht uns fürs Erste völlig. Den Rest besprechen wir persönlich. Klingt nach dir? Dann lass uns reden. Find Jobs in Germany on Arbeitnow

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: 3+ years of software engineering experience. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment : flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type : Contractor (no medical/paid leave). Duration : 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: 3+ years of software engineering experience. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment : flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type : Contractor (no medical/paid leave). Duration : 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers

IDR is seeking a Senior Software Engineer – Go & Java to join one of our top clients for a remote opportunity. In this role, you'll help design and build secure, scalable backend services and APIs that support enterprise-grade platforms. You'll collaborate with engineers and architects in a highly regulated industry environment (financial services) where reliability, security, and performance are critical. Position Overview for the Senior Software Engineer – Go & Java: Design, build, and maintain cloud-native services and APIs using Go and Java Contribute to system architecture and technical direction for distributed microservice platforms Apply secure development practices throughout the software delivery lifecycle Lead and participate in code reviews to ensure quality, maintainability, and performance Evaluate and recommend technologies (including open-source) to solve engineering challenges Requirements for the Senior Software Engineer – Go & Java: 5+ years of enterprise software engineering experience Hands-on development experience with both Go and Java Experience building cloud-native applications using distributed architectures and microservices Experience designing well-structured APIs and applying software design patterns Experience applying secure software development lifecycle (SDLC) practices What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: 3+ years of software engineering experience. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment : flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type : Contractor (no medical/paid leave). Duration : 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

WER WIR SIND functionHR ist ein Spin-Off der LMU München. Wir entwickeln eine innovative und preisgekrönte Softwarelösung für Mitarbeiterbefragungen und People Analytics. Damit begleiten wir Unternehmen auf ihrem Weg zum datengestützten Personalmanagement. Durch die Verbindung von Statistik, Machine Learning und künstlicher Intelligenz mit innovativen Web-Anwendungen revolutionieren wir die Art und Weise, wie HR-Entscheidungen in Unternehmen getroffen werden. Zu unseren Kunden zählen namhafte Unternehmen verschiedener Branchen und Größen. Zur Unterstützung unseres Teams suchen wir schnellstmöglich Verstärkung als CUSTOMER SUCCESS MANAGER (M/W/D) in Teilzeit/Vollzeit (mind. 32h/Woche) Sorge gemeinsam mit unseren Kunden dafür, dass ihre Befragungsprojekte erfolgreich umgesetzt werden, und begleite sie als kompetente Ansprechperson von der Implementierung bis zur langfristigen Nutzung unserer Plattform. DAS SIND DEINE AUFGABEN: Projektmanagement Du bist zentrale Ansprechperson für unsere Kunden und baust langfristige, vertrauensvolle Kundenbeziehungen auf Du unterstützt sowohl die Software-Einführung als auch Support-Prozesse im laufenden Betrieb Du strukturierst und koordinierst Projekte, definierst gemeinsam mit unseren Kunden Meilensteine und behältst die fristgerechte Umsetzung im Blick. Du hast neben dem Kundenerfolg auch die wirtschaftliche Perspektive im Blick, achtest auf den vereinbarten Leistungsumfang und erkennst frühzeitig Potenziale für zusätzliche Leistungen und Upselling. Fachliche Betreuung Du bist fachliche:r Sparringspartner:in für unsere Kunden rund um organisationspsychologische Themen und berätst sie rund um Fragebogenerstellung, Befragungsdesign und Datenprozesse. Du konzipierst und moderierst Webinare, Workshops und Trainings und entwickelst unser Customer Enablement kontinuierlich weiter. Anforderungsmanagement Du strukturierst und priorisierst Anforderungen unserer Kunden und übersetzt diese in konkrete Anforderungen an unsere Software und Services. Du sorgst dafür, dass Anforderungen, Entscheidungen und nächste Schritte klar dokumentiert und nachvollziehbar sind. Du testest Neuentwicklungen und kundenindividuelle Setups kritisch, stellst deren Qualität sicher und bringst Verbesserungspotenziale direkt ins Team ein. SO ÜBERZEUGST DU UNS: Du hast Erfahrung im Projektmanagement und behältst auch in großen, komplexen Projekten den Überblick Du hast ein abgeschlossenes Studium, idealerweise in Arbeits- und Organisationspsychologie, Sozialforschung, Soziologie oder einem vergleichbaren Bereich. Du bringst mindestens 2 Jahre relevante Berufserfahrung mit, idealerweise im B2B-Software- und HR-Tech Umfeld. Du arbeitest analytisch, strukturiert und eigenständig. Du kommunizierst sicher und überzeugend auf Deutsch und Englisch. Idealerweise kennst du bereits den People-Analytics- oder Mitarbeiterbefragungsbereich oder hast Lust, dich schnell und tief in diese Themen einzuarbeiten. DAS BIETEN WIR: Erfahrenes, motiviertes und eingespieltes Team von Entwicklern und Data Scientists Große Flexibilität bezüglich Arbeitszeiten und Arbeitsort – 100% Remote möglich (Dt. Wohnsitz nötig) EGYM Wellpass mit geringem Eigenanteil Spannende Einblicke in international tätige Unternehmen aller Größen und die Möglichkeit echte Wirkung auf Entscheidungsprozesse bei Kunden zu erzielen Flache Hierarchien und viel Entscheidungsfreiheit Modernes Toolset – GitLab, Figma & Co. für effiziente Zusammenarbeit Moderne Hardwareausstattung Regelmäßige Team-Events – auch remote bleiben wir connected DAS SPRICHT DICH AN? Wenn Du noch Fragen hast oder dich direkt bewerben möchtest, freuen wir uns auf deine Kontaktaufnahme. Bitte beachte, dass wir den Prozess ab 10.11.2026 starten werden. Find Jobs in Germany on Arbeitnow