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Anstellungsdetails Permanent Contract, Full- or Part-Time, Remote or Cologne / Düsseldorf / Darmstadt / Berlin Info Who we areWe are the tech powerhouse behind Kaufland's international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within flat hierarchies, we develop the best marketplace solutions for our customers, sellers and partners. #FromEuropeForEurope Day by day, our Tech & Product Team of about 400 experts pursues the goal of creating the best possible customer shopping experience for our online marketplace. Through innovative technical developments, they not only create an outstanding shopping experience but also lay the foundation for an optimal selling experience for our sellers. Learn more about our division, areas, and cross-functional teams here ! Aufgaben Your tasks – this is what awaits you in detail You own and evolve the product strategy, vision, and roadmap for key B2B platform capabilities on the Kaufland Global Marketplace (with several open roles focusing on either Selling Experience or Marketing Technologies) You translate complex business requirements and seller insights into scalable, reliable, and high-impact digital product features You collaborate closely with Engineering, Architecture, Marketing, and Sales to build future-proof solutions and ensure seamless technical integrations You apply platform thinking to balance business goals, technical constraints, speed, scalability, and long-term ecosystem impact You utilize data, metrics, and user feedback to identify problems, measure performance, and continuously optimize seller adoption and growth You drive go-to-market strategies, product launches, and stakeholder communication to align cross-functional teams around shared priorities You conduct market and competitive analysis to proactively discover opportunities for product innovation and international marketplace expansion You explore and experiment with emerging technologies, AI-driven tools, and novel architectural/MarTech approaches to shape the future of our B2B platform Profil Your profile – this is what we expect from you You bring proven experience as a Product Manager owning products for sellers and partners: Technical platforms and tooling, AI-powered automation and service products, or marketing technology and growth products You have a strong builder mindset with a track record of driving products from early concept and architecture down to execution and delivery You build with emerging technologies and AI, from experimentation to production, driven by a curiosity for modern PM tools and innovative platform trends to shape the future of our B2B platform You possess a solid technical background with a clear understanding of APIs, data flows, system integrations, and web architectures You are highly data-driven and outcome-focused, knowing how to turn user data and performance metrics into actionable product decisions You possess outstanding stakeholder management and communication skills, with the ability to bridge technical complexity and business strategy You always put the customer first, bringing a passion for solving seller pain points and driving business impact You thrive in a fast-paced, pragmatic environment, bring fluent English skills (C1 level), and excel in an international, remote setup Benefits What we offer Create your own work-life balance: You have the flexibility to choose between working remotely (within Germany) or from one of our locations in Cologne, Darmstadt, Düsseldorf, or in Berlin! Urban Sports Club and RSG Group Fitness Studios : Get top deals for fitness, swimming, yoga and more Mental Well-Being: We support you on your well-being journey with special offerings such as Instahelp, the digital platform for online psychological counseling Vacation & Sabbatical: Enjoy 30 days of vacation per year and the opportunity to take a sabbatical once you have been part of the team for a certain period! Option for Pluxee restaurant vouchers : Buy Pluxee vouchers through us and benefit from tax-advantaged meal allowances! ' Deutschlandticket': We subsidise your train season ticket for more mobility Employee Discount: You will receive a monthly coupon for Kaufland.de Free choice of hardware: Mac or Lenovo, it's up to you Boost your growth: Benefit from our online language learning programs, diverse in-house training, and our automated 360-degree feedback This is who we are: Our dynamic culture combines flat hierarchies, a start-up mentality, an international team of over 65 nationalities, and the strength of the Schwarz Group to provide you an agile and secure working environment. We are team players : From day one, you will connect not only with your team but also with others through our digital onboarding journey , the buddy program , and regular team and company events, all-hands meetings, powerful mornings , and much more! Check out our Principles & our blog for even more insights into our company culture! Bewerben Diversity at Kaufland e-commerceWe welcome applications from everyone, regardless of skin colour, sexual orientation, gender identity, age, disability, ethnic origin, religion and ideology. We are signatories to the Charta der Vielfalt (German Diversity Charter) – because we know that extraordinary things can only be achieved with diversity. Read more here ! When applying, you can optionally include your pronouns in your resume. Why are you the perfect fit for this position? Don't bother with cover letters - we're interested in facts and figures! Feel free to share your Github profile with us in your application. As we have very international teams, we would highly appreciate it to receive your CV or profile link in English. We are looking forward to your application! Kaufland e-commerce Services GmbH & Co. KG Postal address: Habsburgerring 2 50674 Köln Ansprechpartner Your contact person: Verena Schilmann Find Jobs in Germany on Arbeitnow

HEADLINE: Job Title: Senior Product Manager, Self-Service & Onboarding Reporting to: Head of Product Location: London - Hybrid-Working: 3 days in office, 2 days from home ABOUT THE ROLE: APEXX is pioneering payment orchestration, transforming the global payments landscape with cutting-edge technology and innovation. As a leader in Fintech, we're committed to excellence, driving forward-thinking solutions that empower businesses worldwide. We are looking for a Product Manager to own APEXX's Self-Service & Onboarding domain. You will define and execute the product strategy that enables customers to onboard, configure, manage, and optimise their use of APEXX services independently, creating a scalable self-service experience that gives customers greater control and accelerates time-to-value. This is a highly cross-functional role working across Product, Engineering, Design, Commercial, Customer Success, and Compliance to create scalable digital experiences that improve customer satisfaction and business efficiency. You will own the end-to-end onboarding journey - from account creation and KYC/KYB orchestration to payment provider configuration, user management, and self-service administration - as part of a broader vision to give customers greater control over how they configure, manage, and optimise their use of the APEXX platform. WHAT YOU'LL DO: Own the vision, strategy, and roadmap for APEXX's self-service capabilities and Customer Portal, starting with the end-to-end merchant onboarding experience and progressively expanding customer control across the platform. Evolve the APEXX Customer Portal into a high-performing, intuitive, and flexible platform that enables customers to understand their payments through actionable data-driven insights and recommendations, and take meaningful actions directly within the platform. Design and deliver scalable self-service capabilities spanning merchant onboarding, account and user administration, API credential management, payment provider configuration, routing rules, and wider platform configuration. Drive Product-Led Growth initiatives that increase adoption of APEXX capabilities, enable customers to expand their use of the platform, and unlock new commercial and market opportunities. Use customer research, product analytics, and experimentation to understand complex enterprise needs, identify opportunities, prioritise roadmap investments, and measure customer and business outcomes. Partner closely with Engineering, Design, Commercial, Customer Success, Compliance, and Operations to translate customer needs and product strategy into secure, scalable, performant, and intuitive experiences. Identify opportunities to leverage AI to simplify complex workflows, automate repetitive processes, surface actionable insights and recommendations, and provide intelligent in-product guidance. ABOUT YOU: Proven track record in Product Management within SaaS, platform, fintech, or similarly complex digital products, with end-to-end ownership from discovery and strategy through delivery and measurable outcomes. Experience owning and delivering sophisticated customer-facing portals, self-service capabilities, onboarding journeys, or platform configuration products, ideally within complex enterprise environments. Strong product and systems thinking, with the ability to turn complex customer and operational workflows into intuitive, scalable, and reusable product capabilities. Strong understanding of Product-Led Growth, with experience using product capabilities and customer experience to drive adoption, expansion, and commercial growth. Strong analytical and data-driven approach, with experience using customer research, product analytics, and experimentation to inform decisions, prioritise effectively, and measure outcomes. Strong product judgement and commercial awareness, with the ability to balance customer needs, business outcomes, technical constraints, and long-term platform scalability when making product decisions. Excellent communication and stakeholder management skills, with the ability to create clarity, influence decisions, and work effectively across Engineering, Design, Commercial, Customer Success, Compliance, and Operations. Experience in payments, fintech, or financial services would be highly advantageous. COMPENSATION & BENEFITS: Great people deserve great rewards. We believe in recognising the impact you make with competitive compensation and benefits that support you both at work and beyond. Whether it's taking time to recharge, looking after your health, working from somewhere new, or investing in your growth, we've built a benefits package designed to help you thrive, because when our people do well, so does APEXX. 💰 Competitive Compensation: We offer competitive salaries that recognise your skills, experience, and the impact you make. 🏖️ Generous Time Off: Take the time you need to rest and recharge with annual leave, public holidays, and wellbeing-focused time away from work. 🌍 Work From Anywhere: Enjoy the flexibility to work remotely from eligible locations for up to 90 days per year, subject to our Work From Anywhere policy.* ❤️ Comprehensive Health Insurance: Your wellbeing matters. We provide comprehensive health insurance which includes optical & dental to help support you when it matters most. 🛡️ Life Insurance & Critical Illness Protection: Additional protection for you and your loved ones when it's needed most. 👶 Enhanced Family Leave : Supporting you through life's biggest milestones with enhanced parental and family-friendly leave policies. 📈 Learning & Growth: We're invested in your development, with opportunities to learn, grow, and build a meaningful career at APEXX. WHO WE ARE & WHERE WE ARE: APEXX is a global payment orchestration platform with teams across the UK & India, helping enterprise businesses simplify the complexity of payments. For more than a decade, we've been building technology that enables merchants to connect to the world's payment ecosystem through a single, scalable integration. Our platform gives businesses access to 200+ acquirers, 150+ alternative payment methods, and 10+ Buy Now, Pay Later providers , helping them optimise payment performance, improve acceptance rates, and expand into new markets with confidence. Trusted by leading global brands including Ryanair, TUI, Hotelbeds, CarTrawler, Avon, and Jet2 , we're redefining enterprise payments by making them smarter, faster, and more reliable. As we continue to grow, so do the opportunities to make an impact. Whether you're building products, solving complex engineering challenges, or supporting the teams behind them, you'll play a meaningful role in shaping the future of global payments at APEXX. To learn more about APEXX and experience the dynamics of being part of our team, feel free to check out the provided media channels below: LinkedIn : https://www.linkedin.com/company/apexxglobal/ Instagram : https://www.instagram.com/apexx.global/?hl=en Main Website : https://apexx.global/ APEXX is an equal opportunities employer committed to encouraging equality, diversity, and inclusion among our employees and eliminating discrimination. We do not accept speculative CVs or candidate profiles from Recruitment Agencies. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Your mission You train the technical teams of strategic cloud partners to build, integrate and support AI applications with confidence. Your audience is solution architects, field engineers, developers, technical consultants and sales engineering teams. You take a proven AI curriculum and make it work for cloud partner audiences: real deployment scenarios, partner-specific examples, live troubleshooting. You are the technical face of our client in the room. Your tasks include: Deliver instructor-led bootcamps, technical workshops, train-the-trainer sessions and hands-on labs for cloud partner organisations. Adapt core AI training content for partner audiences such as solution architects, field engineers, developers and partner enablement leaders. Translate AI capabilities into practical cloud scenarios, reference architectures and customer-facing use cases. Lead practical exercises on how to build, integrate, deploy, evaluate and support AI applications in cloud environments. Troubleshoot participant issues live, from lab setup and API calls to code samples and implementation questions. Work with program leadership and partner enablement stakeholders to refine delivery plans and localise examples. Keep delivery quality high across regions, cohorts and groups with different technical maturity. Capture recurring knowledge gaps and recommend improvements to content, labs and facilitation guides. Your profile You move comfortably between developer-level detail, cloud architecture context and an executive-friendly explanation. You are energised by teaching complex material and you earn credibility with engineers by knowing your stuff. Experience & Education More than 5 years of professional experience in technical training, developer education, solution architecture, technical consulting, partner engineering, software development or cloud enablement. Experience delivering technical workshops, bootcamps, labs or train-the-trainer sessions for professional audiences. Strong practical fluency with generative AI, LLM concepts, prompt engineering, APIs, SDKs and modern AI application patterns. Hands-on familiarity with cloud platforms and partner environments such as AWS, Google Cloud, Microsoft Azure or Oracle Cloud. Fluent English; a second language (French, Spanish or German) is a strong plus. Located in or near a major EMEA city with an airport (for example London). Willingness to travel for partner workshops and regional programs (approx. 25-35%). Of advantage: familiarity with Amazon Bedrock (AWS Bedrock). Of advantage: experience enabling cloud partners, hyperscalers, systems integrators or partner field organisations. Of advantage: experience building hands-on labs, certification pathways or partner academies. Skills & Attributes Explains cloud and AI concepts clearly to engineers, architects and business stakeholders alike. Facilitates live technical labs and solves setup, code and API issues on the spot. Strong executive presence and professional conduct with senior partner stakeholders. Adapts content and communication style to different proficiency levels, regions and roles. Reads, explains and lightly modifies sample code in Python or JavaScript. Understands RAG, vector search, AI agents and workflow orchestration well enough to teach them. Of advantage: experience with developer relations, sales engineering enablement or solution architect training. Why us? You teach AI to the people who bring it to enterprise customers, with a premium learner experience as the standard. Impact: Your sessions build the technical confidence that drives AI adoption across partner field teams in EMEA. Responsibility: You own the delivery quality of your workshops and represent a leading AI company directly with strategic partners. Dynamics: AI products change fast, and so does your content; you work in a small team that decides quickly. Development: Product training and credentialing are provided, and you grow into a specialist role in a new, high-visibility training program. Benefits Home office possibility Flexible working hours Subsidised Gym Membership Apple hardware (laptop & iPhone) These are the recruiting steps that await you: Culture Fit - Get to know Rike or Kim from our People team. Learn more about nonplusultra and our culture. Content & Role Fit Interview - Go deeper into the role with Matze Schulz and a technical colleague from OpenAI. Case Study - Work through a practical training scenario together with Matze Schulz and a technical colleague from OpenAI. Find Jobs in United Kingdom on Arbeitnow

🧡 About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 About the team You will join Alma's central Data team, which supports a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. The team is made up of six Data Analysts, including several experienced colleagues, and works at the intersection of Data Engineering, Data Analytics, and business teams. Reporting to Gil Marlard , you will help strengthen the data foundations that support reporting, analytics, operational processes, and business decision-making. This position is a permanent (CDI) role based in Paris, with a hybrid working model, we are also open to full remote in France. 💼 About the job As an Analytics Engineer, you will help strengthen the data foundations that support the whole organization. The central Data team serves a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. You will join a team of six Data Analysts, including several experienced colleagues, and work at the intersection of Data Engineering, Data Analytics, and business teams. You will transform raw data into trusted datasets that support reporting, analytics, operational processes, such as deciding which customer to call, and business decision-making. Our data foundations currently have different levels of maturity across business teams, and part of our ambition is to rebuild and standardize some of them. Your work will be particularly important in enabling more self-service and conversational analytics for our business teams, by making data easier to find, understand, trust, and use. A key part of your role will be improving the lineage and governance of our tables, following a medallion-inspired approach with clear layers. Data modeling and data quality Build and maintain reusable data models, macros, and semantic layers in dbt and BigQuery Develop staging, intermediate, and mart models following clear data modeling principles Implement data quality tests, freshness checks, and documentation Improve the lineage, ownership, and discoverability of our most important tables Strengthen our semantic layer and ensure that metric definitions are consistent Identify and remove duplicated, obsolete, or deprecated datasets and content Optimize queries and models for reliability, performance, and cost Central Data Analytics Community Build reusable data assets that can be leveraged by Data Analysts across different business domains Lead enablement by mentoring analysts and training them on dbt, Looker, governance, and metric definitions Partner on the data platform roadmap across GCP, BigQuery, Argo, dbt, and Looker Contribute to keeping our data stack clean, reliable, and easy to maintain Participate in code reviews and help define analytics engineering standards Discuss and validate data contracts with the rest of the Engineering team Collaborate with Data Analysts, Data Engineers, and business stakeholders to deliver trusted and actionable data 🧰 You will work with dbt, BigQuery, Looker, GCP, Argo, Git, Claude 🧩 About you To succeed in this job You have at least 2 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar role. You have practical experience with dbt, including models, tests, and documentation. You have a good understanding of data modeling concepts such as facts, dimensions, keys, and relationships. You have experience with Git and pull-request-based development, excellent communication skills, and the ability to collaborate with technical and business teams. You are fluent in English. And it will be nice if you also You are familiar with BigQuery, Looker, GCP, and Airflow or Argo. You have knowledge of Python. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. 🧘 What's in it for you If you join, you will be able to grow and impact on: The opportunity to shape analytics engineering practices within a growing and experienced central Data team Exposure to modern data tools including dbt, Argo, Claude, GCP A collaborative environment focused on improving data reliability, data literacy, and self-service analytics 🤑 Compensation & benefits Competitive salary based on 12 months Profit-sharing and employee savings plan Health insurance: 100% covered by Alma including family package Disability insurance: 100% covered by Alma Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) Meal vouchers: €10/day, 50% covered by Alma Mental health: free access to MindDay platform Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) Access to our Learning & Development Platform 2 weeks of full remote possible per year in summer 🎯 Interview Process Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge. 1 or 2 additional interviews customized to the role's level to further assess your skills and team fit. 🌍 Diversity & Inclusion At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs. Find Jobs in France on Arbeitnow

Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5. The Opportunity Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The Role As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems: Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio. Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech. Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects -- enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through "latent recombination". Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations. The Challenge We are seeking researchers who: See "unsolved" problems as opportunities to pioneer entirely new approaches Can identify the one critical experiment that will validate or kill an idea in days, not months Have the vision to scale successful proofs-of-concept 100x Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative. It's Important to Us That You Have Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques History of open-source contributions or research publications that have advanced the state of the art in speech/language AI Ideal Researcher Profile An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. 1. Statistical & Mathematical Foundations Mastery of Core Concepts Many papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse. Combining Existing Theories in Novel Ways Papers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights. Logical Reasoning and Assumption Testing Across all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., "scaling data leads to zero-shot robustness" or "straight-line noise injection improves sample efficiency") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses. 2. Algorithmic Innovation & Implementation Creative Solutions to Known Bottlenecks Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts. Turning Theory into Practice Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential. Clear Impact Through Prototypes & Open-Source Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress. 3. Data-Driven & Scalable Systems Emphasis on Large-Scale Data and Efficient Pipelines Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., "data optimal regime") can yield high performance even in smaller models. Strategic Use of Data for Staged Training A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance. 4. Hardware & Systems Understanding Efficient Implementations at Scale Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices. Real-Time & On-Device Constraints SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness. Architectural & Optimization Details Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency. 5. Rigorous Experimental Design Controlled Comparisons & Ablations Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter. Multifold Evaluation Metrics From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics. Stress Tests & Edge Cases Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and "red-team" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities. Summary Overall, an ideal researcher in deep learning consistently demonstrates: A solid grounding in theoretical and statistical principles A talent for proposing and validating new algorithmic solutions The capacity to orchestrate data pipelines that scale and reflect real-world diversity Awareness of hardware constraints and system-level trade-offs for efficiency Thorough and transparent experimental practices These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning. Foundational Papers This job description was generated through analysis of the following papers: Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356) Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037) Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206) Scaling Laws for Neural Language Models (arXiv:2001.08361) BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093) In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760) Neural Discrete Representation Learning (arXiv:1711.00937) SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312) Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505) Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219) Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060) Notice : We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @ deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to ----- Find Jobs in United Kingdom on Arbeitnow

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Gitaly team, you'll help build GitLab's Git data storage tier, a standalone product that provides reliable, secure, and fast access to Git repositories through application programming interfaces (APIs) and storage operations. You'll work at the boundary between GitLab and Git to make repository access performant and dependable for GitLab.com , self-managed customers, and GitLab Dedicated. Our work spans distributed storage, repository management, high availability, performance, observability, and operational excellence. We're currently building the next generation of source code management (SCM), including new approaches to scaling Git storage and improving how repository data is managed and served. You'll balance roadmap delivery, technical improvements, customer and reliability work, and operational support. We value pragmatic engineering, thoughtful trade-offs, continuous improvement, and sustainable ways of working while operating a service that's critical to GitLab. Learn more on the Gitaly Team Page . What you'll do Own moderately sized to complex technical initiatives from problem definition and proposal through implementation, rollout, monitoring, and operational follow-through. Act as the directly responsible individual for projects by aligning stakeholders, communicating progress and trade-offs, identifying risks, and keeping execution moving with minimal guidance. Lead technical design for distributed storage, Git repository management, performance, reliability, and scalability problems, using data and benchmarking to guide decisions. Partner with engineers and teams across GitLab, including Git, Infrastructure, Site Reliability Engineering, Dedicated, and customer-facing teams, to deliver cross-functional outcomes. Improve engineering practices through mentoring, documentation, knowledge sharing, design reviews, and constructive code reviews. Take operational ownership of the systems you work on, including incident response, post-incident improvements, capacity and performance analysis, and customer escalations. Identify opportunities to improve work beyond an individual change through automation, reusable designs, better dashboards, upstream contributions, and improvements to development and testing workflows. Respond to user emergencies, platform alerts, and support requests, including regular on-call duties. What you'll bring Significant professional experience building, debugging, and optimizing distributed or highly available software systems in large-scale production environments. Experience owning complex projects end to end, including technical design, execution, rollout, and operational support. Strong systems design skills and the ability to reason about performance, failure modes, consistency, concurrency, capacity, and observability. A track record of influencing technical decisions and working effectively with stakeholders across teams and disciplines. Experience mentoring engineers, improving team practices, and raising the quality of designs, code, testing, and documentation. Strong written and verbal communication skills, including the ability to explain complex technical concepts and make trade-offs clear. Professional experience with Go or another backend or systems language. Experience operating production systems, participating in incident response, and turning operational learnings into durable improvements. Experience with Ruby, Git internals, gRPC, or Git server infrastructure is highly desirable. About the team The Gitaly team includes Backend Engineers who share ownership of the product's design, implementation, reliability, and customer outcomes. We work autonomously while collaborating closely through design discussions, code reviews, incident response, documentation, and asynchronous communication. Engineers are encouraged to take ownership as directly responsible individuals, seek input early, make decisions transparently, and share knowledge across the team. Learn more on the Gitaly Team Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab's policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab's EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process . Find Jobs in United Kingdom on Arbeitnow

Who We Are: At NaturalMotion, we make games that wow people. We innovate to create previously impossible experiences that would not exist without us. We take pride in making titles that reach a large audience and creating communities that last. Our commitment to excellence has earned us recognition as one of the UK's Best Places to Work in games for eight consecutive years by gamesindustry.biz, and we're proud to be part of the Zynga and Take-Two Interactive family. Position Overview: We are seeking a Server & Infrastructure Engineer to join our server engineering team. In this role, you will work on core backend systems and backend services, contributing directly to live services and build systems with minimal supervision. You will help manage and expand our infrastructure, automated CI/CD pipelines, and development tools while collaborating closely with technical leads to build reliable, high-performing server environments. You will have a passion for large-scale high-availability systems, a devotion to software craftsmanship, an unwavering commitment to quality, and the desire to have their work seen by tens of millions of people worldwide. What You'll Do: Server & Infrastructure Execution: Complete multi-day backend engineering tasks with minimal guidance. Design, deploy, and support scalable server architectures and cloud infrastructure. DevOps & Pipeline Automation: Build, maintain, and optimise robust CI/CD workflows and automated deployment pipelines across cloud environments and build platforms. Architecture & Planning: Participate in technical planning, architectural brainstorming, and technical cost/complexity estimation for multi-week efforts. Team Efficiency & Quality: Proactively identify workflow bottlenecks and drive initiatives to improve overall engineering team productivity, tooling, and code quality. Technical Communication: Participate in internal tech talks, share best practices, and maintain collaborative peer relationships across engineering squads. What You Bring: Programming Languages: Demonstrated proficiency in Python, Go and C# for backend services, automation scripts, and custom tooling. Cloud Infrastructure & IaC: Hands-on experience provisioning and managing AWS infrastructure using Terraform (Infrastructure as Code). Build & Platform Systems: Experience configuring and managing automated orchestration/build platforms (e.g., Unreal Horde , Jenkins , or TeamCity ), preferably with Game Engines (Unreal Engine, Unity, etc.) . Source Control Management: Strong working knowledge of version control systems and workflow strategies ( GitHub , Perforce/Helix Core , Git-flow , branch management). Work Execution: Proven ability to manage moderate-to-complex technical tasks independently, break down project deliverables, and communicate status accurately. Bonus Points: Experience writing server-side logic and managing database dependencies for live applications or multiplayer services. Have worked in, or has a strong interest in the gaming industry Interest in infrastructure deployment and monitoring Interest in mentoring junior team members or interns, framing task deconstruction, and conducting technical interviews. Familiarity with containerisation ( Docker, Kubernetes ) and infrastructure security best practices. What We Offer You: Competitive salary and discretionary annual bonus scheme 26 days holiday, plus bank holidays & 2 paid personal days 6 months fully paid maternity/adoption leave and 16 weeks fully paid paternity leave (eligibility criteria applies) Pension plan, with a double matching employer contribution Private medical & dental insurance and healthcare cash plan Life insurance, personal accident insurance and income protection Mental health and neurodiversity support programs Company Employee Stock Purchase Plan (eligibility criteria applies) Fitness reimbursement plan, worth £600 per annum Flexible working hours Weekly happy hours, seasonal parties and monthly social events Annual rail season ticket advance and cycle to work scheme We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at ----- to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga's in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain). Find Jobs in United Kingdom on Arbeitnow

🧡 About Alma At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 About the team We are hiring for different squads. We will direct you to a specific team depending on your interests and skills. This position is a permanent contract (CDI) based in Paris or remote from France. 💼 About the job Build the payment infrastructure of tomorrow Design and develop the APIs and backend components that power payments for thousands of merchants and millions of consumers across Europe. Raise the bar on quality, security & performance Write maintainable, production-grade code that meets the highest standards of a regulated company processing billions of euros. Shape our technical architecture Collaborate closely with Product and other tech leaders to evolve our architecture in line with growing business needs. Own reliability end-to-end Lead incident response and performance troubleshooting, driving long-term improvements to ensure our platform stays resilient at scale. 🧰 You will work with Python, Docker, React, GCP, Kubernetes, PostgreSQL, Redis, Pub/Sub, Datadog 🧩 About you To succeed in this job 8+ years of experience in backend engineering on large-scale systems (excluding internships and apprenticeships) Strong proficiency in Python and relational databases — we're open to other backend languages, but Python is our core stack Fluency in French with a solid level of English Methodical, with strong communication and problem-solving skills; at ease working in a cross-functional environment And it will be nice if you also Have experience building payment or financial solutions Have a track record of influencing product and technical decisions at scale Hold a Bachelor's or Master's degree in Computer Science or a related field Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. 🧘 What's in it for you If you join, you will be able to grow and impact on: Real-world scale — your code will directly power payments for millions of consumers and tens of thousands of merchants across Europe. Technical ownership — you'll have genuine influence over architecture decisions, not just implementation. A regulated, fast-moving environment — you'll tackle the unique challenges of building robust, secure fintech infrastructure in a company that's still moving fast. 🤑 Compensation & benefits Competitive salary based on 12 months Profit-sharing and employee savings plan Health insurance : 100% covered by Alma including family package Disability insurance : 100% covered by Alma Sport : partnerships with Gymlib and Classpass , or €30/month reimbursement for your sports activities Maternity/paternity leave : salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. Sustainable Mobility Package (FMD) : €544.80/year (excluding full-remote contracts) Meal vouchers : €10/day , 50% covered by Alma Mental health: free access to MindDay platform Paid time off : 25 days/year (+ additional paid leave granted for employees on executive contracts) Access to our Learning & Development Platform 2 weeks of full remote possible per year in summer 🎯 Interview Process Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. Take-home coding test , followed by a remote feedback session. Live system design interview to assess your practical and architectural knowledge. A coffee chat with the squad you'll join to further assess your skills and team fit. More information on the hiring process can be found in our Interview Guide . 🌍 Diversity & Inclusion At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs. Find Jobs in France on Arbeitnow

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer. Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy. What you'll do Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant. Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry. Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations. Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI. Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback. Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering. Join Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency. Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic. What you'll bring Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models. Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses. Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility. Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus. Experience finding and fixing performance bottlenecks in applications. Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team. Openness to learning and to applying skills from related technologies or fields. About the team The Agent Foundations stage builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability. Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can power many of GitLab's AI features. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab's policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab's EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process . Find Jobs in United Kingdom on Arbeitnow

Job title: Technical GTM Lead Location: London; full in-office working as default Start date: ASAP Reports to: CRO Compensation: Salary and Equity options available for discussion Application deadline: 01/11/26 at 23:59 UK time Help put frontier AI to work in the real world Cosine is a UK AI lab building models, applications and training infrastructure for mission-critical organisations. We build coding agents that work across real software systems, specialised Lumen models, AI-native security products and the infrastructure needed to deploy advanced AI in demanding environments. Our customers include some of the world's largest enterprises, including organisations operating behind strict security, regulatory and technical constraints. We're also training Lumen Sovereign, the first frontier large language model trained in the UK, with the support of the UK Government. We're now looking for a Technical GTM Lead to become the technical centre of gravity for our go-to-market team. You'll sit at the intersection of customers, sales, product, engineering and machine learning. You'll show prospective customers what Cosine can do, help existing customers get deployed, build the technical assets that make our products compelling, and ensure what we learn in the field directly improves what we build. This is not a traditional solutions consultant role. It is highly hands-on. One day you may be running a technical evaluation with an enterprise engineering team; the next you may be debugging a deployment, building a demonstration environment, writing a technical blog or working with ML researchers to turn a new capability into something customers can understand and use. What you'll do Make Cosine real for customers Lead technical demonstrations and evaluations for prospective enterprise customers. Understand a customer's development environment, architecture, security model and constraints, then tailor the conversation accordingly. Explain Cosine's products, models, integrations, deployment options and security considerations with accuracy and confidence. Design and run technical evaluations, pilots and proofs of concept. Work alongside the commercial team to help turn technical interest into customer momentum. Build the technical GTM engine Create high-quality demo environments that show Cosine at its best. Build reusable repositories, workflows and customer scenarios across our coding agent, desktop application and Sparklr model-training platform. Develop technical materials that help the wider GTM team explain, demonstrate and position Cosine effectively. Work with Product, Engineering and ML to turn new capabilities into compelling customer-facing demonstrations. Create technical content such as blogs, product pages, webinars and enablement materials. Get customers successfully deployed Own the technical side of customer onboarding, from initial architecture conversations through to a working deployment. Help customers integrate Cosine with their existing repositories, development environments, infrastructure and enterprise systems. Support deployments across cloud, VPC, on-premise and other controlled environments. Troubleshoot issues directly and coordinate with Engineering when deeper product support is required. Lead onboarding sessions and become a trusted technical counterpart for customer engineering, platform, security and AI teams. Connect customers, GTM and the product organisation Act as the primary technical bridge between GTM and Cosine's Product, Engineering and ML teams. Bring structured customer feedback into the product organisation, including recurring questions, blockers, feature requests and deployment issues. Identify patterns across customer conversations and distinguish one-off requests from strategically important product gaps. Help the GTM team understand new technical capabilities, product changes and their implications for customers. Help Product and ML understand what enterprise customers actually need in order to adopt Cosine. Raise the technical bar Become the first port of call for technical questions from the commercial team. Build enough depth across Cosine's products and underlying technology to explain not only what they do, but how and why they work. Help the GTM team communicate technical capabilities accurately and avoid overpromising. Train, document and support the wider commercial organisation. Create a culture where technical rigour and commercial momentum reinforce each other. What we're looking for You may have come from software engineering, solutions engineering, forward-deployed engineering, developer tooling, technical product or a similar technical customer-facing role. You should be comfortable: Reading, writing and debugging code. Working with Git, CI/CD, APIs, containers and cloud infrastructure. Understanding enterprise deployment architectures, including cloud, VPC and on-premise environments. Speaking credibly with software engineers, platform teams, security teams and technical executives. Learning complex products quickly and explaining them clearly. Debugging ambiguous customer problems and finding a practical path forward. Moving between a customer meeting, a terminal and a conversation with an ML or Product team without losing context. Making sound technical judgements without pretending to know what you do not know. Experience with LLMs, coding agents, ML infrastructure or enterprise AI deployment would be valuable. But deep curiosity, technical ability and strong customer instincts matter more than having worked in exactly the same category before. You do not need to be an ML researcher or the world's best infrastructure engineer. You do need to be able to go deep when required, find the right answer quickly and communicate it in a way that earns trust. What success looks like In your first three months, you will: Become the person the GTM team relies on for difficult technical customer conversations. Independently run excellent demonstrations across Cosine's core products. Build a useful library of repeatable demo environments, workflows and technical assets. Reduce the friction and time involved in getting enterprise customers deployed. Establish a strong feedback loop between customers, GTM, Product, Engineering and ML. Give the commercial team confidence that Cosine can engage deeply with technically sophisticated customers. Longer term, you will help define how Cosine is understood, evaluated and adopted by the world's most demanding engineering organisations. Why this role matters Cosine is building technology that cannot be sold through a slide deck alone. Our customers want to see the product working in their environments. They want to understand how it behaves across complex codebases, legacy systems, security boundaries and real development workflows. They want technically honest answers and a partner who can stay with the problem when deployment gets difficult. You will be that person. You'll have unusual proximity to customers, product decisions and the underlying research. You'll help shape the demonstrations, deployments and feedback loops that determine where Cosine goes next. If you enjoy being close to the technology, close to customers and close to the teams building the future of AI, this is an opportunity to have a significant impact. Come help make frontier AI useful. Why join Cosine Opportunity to sell a genuinely differentiated product into mission-critical defence and national security environments Meaningful early equity with real upside Direct impact on product direction and go-to-market strategy Small, elite team with high standards and strong technical depth Cosine is an equal opportunity employer. We value diverse backgrounds, perspectives, and ways of thinking, and we're committed to creating an inclusive and respectful workplace. We encourage applications from anyone who meets the role requirements, even if you don't meet every single qualification. If you need reasonable adjustments at any stage of the hiring process, we're happy to discuss them. Compensation, Benefits & Ways of Working We're an in-office team, five days a week, by design. We believe the work we're doing benefits from being together, collaborating closely, and building shared context. What you can expect: Competitive salary , benchmarked to the market Equity / share options , so you share in the upside you help create 30 days' holiday + bank holidays Work hard in the office, collaborate closely, and switch off properly Dog-friendly office — bring your dog to work Daily lunch provided Monthly team breakfasts Monthly socials Pension High-quality equipment to do your best work We care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home. This role won't suit everyone. But if you want structure, clarity, strong collaboration, and a team that takes both the work and work-life balance seriously, it's a great place to be. ___ Agency & Data Protection Notice To comply with UK GDPR and our internal data-protection and equal-opportunity obligations, we only accept candidate applications and agency submissions via our Applicant Tracking System (ATS). This ensures appropriate privacy notices, lawful processing, auditability, and consistent retention controls. Any CVs or candidate details received outside the ATS (including via email, Slack, or direct message) will be treated as unsolicited, will not be considered as part of the recruitment process, and will not give rise to any fee or payment obligation. Find more English Speaking Jobs in United Kingdom on Arbeitnow

We're looking for a Software Engineer to join our global team to be responsible for the quality, development, and execution of our software products. You will be part of a technology department that is comprised of a successful and multidisciplinary group of professionals located across the globe – Barcelona, New York, London, Manchester, Bucharest and India. If you're ready to join a growing company and make an immediate impact, we want to hear from you! You will be joining at TransPerfect – TechOps: The TransPerfect TechOps team has been a vital part of the company's success since its formation over 10 years ago – delivering technology and services that have drastically simplified the lives of our clients and colleagues – from workflow improvements for colleagues to core services that form the basis of the company's GlobalLink platform, to creating scalable client interfaces that allow novice users to navigate complex ecosystems. Your responsibilities and tasks will include: Engage in all phases of application development, with a focus on coding and debugging in alignment with security standards throughout the entire lifecycle Design, build, and maintain efficient, reusable, and reliable code/APIs to support applications both for web and mobile Collaborate regularly in a cross-functional team made up of product managers, quality assurance teams, designers and other developers to translate business requirements into technical solutions Collaborate with Front-end developers to integrate user-facing elements with server-side logic Identify bottlenecks and bugs, and devise solutions to mitigate and address issues Optimize web applications for performance, scalability and security Implement security best practices to safeguard sensitive data and protect against potential threats Develop automation tests/ collaborate with automation engineers to ensure business needs are met, and allow for regression testing Work closely with users to provide personalized software support as needed Stay updated on emerging technologies and industry trends to continuously improve our backend infrastructure Document application support and operational procedures Mentor junior engineers and provide technical guidance to foster their growth and development The minimum we're looking for (show us what you got if you aren't a perfect fit): Bachelor's or Master's degree in computer science, engineering, or related field 8+ years of experience in software development, with a focus on building scalable and reliable systems Extensive knowledge of DotNet C#, LINQ, MS SQL, Entity Framework and related technologies Capable to use version control software such as GIT Knowledge of SOLID principles Knowledge of clean code practices Experience using web service protocols such as Rest, API design for extensibility and integration Experience debugging complex applications Experience with Agile development project management methodologies Database Development in SQL Server or NoSQL Databases Some familiarity of Docker Experience debugging complex applications Excellent communication and collaboration skills with a proven ability to work effectively in a team environment Azure, AWS, RabbitMQ and Quartz experience is a plus By applying, I confirm I have read and accepted TransPerfect's Privacy Policy: https://www.transperfect.com/about/data-privacy-recruiting Find Jobs in United Kingdom on Arbeitnow

Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide , including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences. Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform . We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team. Named GP Bullhound's Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies , We're growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading. About the Role As a Sales Engineer it's your mission to show the value of Camunda and guide organizations planning to automate their core business processes. You accompany prospective customers in their product evaluation of Camunda. You are responsible for achieving the product win, getting answers to all product related technical questions, and arranging all presales interactions driving the evaluation. In this role you will partner with our Account Executives and Solution Architects, supporting you by conducting proof of concepts or handling other deeply technical discussions. You will help qualify opportunities and then help set and execute a sales strategy to achieve a win. The effectiveness of Camunda's Sales Engineers is gauged by their ability to convert prospects into Camunda customers both efficiently and at a high rate. This position requires a strong interest in cutting-edge software technologies. You should take pleasure in crafting sample code or custom demonstrations and exploring new technology, even if you're not highly experienced in software development. By empathizing with prospects, you better grasp their requirements and have engaging technical conversations, and excel at clarifying how Camunda's technology can benefit their business. What you'll be doing: Map customer requirements to our Camunda product portfolio Position potential quantitative and qualitative business value of Camunda Develop individual Camunda evaluation plans and demos for our prospects Conduct product demos and product related Q&A sessions Support the completion of RFI / RFP documents Team with Account Executives to develop accounts Organize and execute pre-sales engagements Implement code snippets Create and maintain pre-sales content and technical artifacts What you bring: Ability and/or willingness to use our product . Strong Technical Foundation: A degree in Computer Science, Information Systems, or a related field—or equivalent practical experience. Solid understanding of programming fundamentals, modern software engineering practices, and common IT/system architectures. Proven Sales Engineering Experience: Experience in Sales Engineering or Pre-Sales, with a deep understanding of sales cycles, value-based selling, and stakeholder engagement. Skilled in handling objections and driving deals to closure in a consultative selling environment. Communication Excellence: Exceptional presentation and interpersonal skills, with the ability to translate complex technical concepts into clear, compelling narratives tailored to technical and non-technical audiences alike. Language Proficiency: Fluent in English (C1/C2 level or native proficiency) Travel Flexibility: Willingness to travel occasionally for customer meetings, events, and team collaboration.. This role is an existing vacancy #LI-AL1 #LI-remote #EMEAWest What We Have to Offer: Compensation We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition. The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills , experience , and location , and we typically hire in the first half of the range to allow room for growth: United States: $175,200.00 to $282,400.00 United Kingdom: £110,000.00 to £180,900.00 Singapore: S$217,500.00 to S$326,300.00 If you're based elsewhere, you'll be hired via Remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview. Equity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP) . Benefits & Perks We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you're based. Our benefits are globally designed and locally delivered where applicable. Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it. In Person Connection: We invest in meaningful face time through our Annual Kickoff (Vienna in 2025, Madrid in 2026!), team offsites, and Camundi Connection Budgets , including contributing to meetups while travelling,, and local gatherings with fellow Camundi. Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing in your financial wellbeing. The Live Well program launches in 2026 and scales to €1,000 annually from 2027 . Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant. Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide! AI in our hiring process : Camunda may use AI tools to aid the screening of applications and during the interview process. You can learn more here "Everyone is welcome at Camunda" — it's a celebrated component of our culture. We strive to create an inclusive environment that empowers our people. At Camunda, we honour diverse cultures and backgrounds and are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to gender, race, ethnicity, religion, belief, sexual orientation, age, disability or any other protected characteristics under applicable law. We are looking forward to your application! Come join us and be part of Camunda's incredible journey: Make an impact at a pivotal moment in our story! Please be aware that scammers may impersonate Camunda by reaching out about job opportunities. Camunda will only contact candidates from an email address ending in @ camunda.com or @ talent.camunda.com . We will never ask candidates for bank account details, checks, payment, or other sensitive financial information as part of our hiring process. If you receive a suspicious message, please do not respond, click any links, or share personal information. Note for recruiting and placement agencies: Camunda does not accept unsolicited agency resumes. Please do not forward resumes to our careers site, employees, or any other Camunda contact unless we have specifically engaged your firm for that search. Camunda will not pay fees related to unsolicited resumes. Find more English Speaking Jobs in Germany on Arbeitnow