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Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. In this role, you will be a key member of the team managing our analytics and event platform stack. As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe. Your work will unlock the value of data, empowering our customers to make informed decisions through real-time insights, monitoring, and comprehensive analytical reports. Your role at Aircall Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product Analyze and translate business needs into data model & optimize for big data Identify slow queries and optimize for better performance Write clean scalable code using Scala / python / SQL and test and deploy applications and systems Solve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources. Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients Involvement in product and platform performance optimization and live site monitoring Mentor team members through giving and receiving actionable feedback. Our tech. stack: AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow. A continuous deployment process based on GitLab A little more about you: A Bachelor's degree in a technical field (eg. computer science or mathematics). 3+ years experience with near real-time analytics 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript Experience of designing complex data processing pipeline Experience of data modeling (star schema, dimensional modeling etc) in AWS redshift Experience of query optimisation Experience of kafka is a plus Shipping and maintaining code in production You like sharing your ideas, and you're open-minded Why join us? 🚀 Key moment to join Aircall in term of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💶 Competitive salary package & benefits (health coverage, lunch, commute, sports) DE&I Statement: At Aircall, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our Aircall journey. We promote active inclusion to foster a strong sense of belonging which is one of our main strengths as a business. We strive to assemble diverse people that can enrich and learn from each other . We pledge to make sure everyone not only has a seat at the table but is valued at the table -- providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open because we realize that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. Find Jobs in United Kingdom on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, with regular time in the lab The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role builds our analysis from the start. Every result leaves an instrument as a trace or a vendor file, and it has to become a value someone can rely on, linked back to the sequence and sample it came from. That means fitting it properly, checking it against controls, catching the plate or reagent lot that drifted, and showing the evidence. Someone has to own that work. That is this role. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will join the intelligence team and own the analysis of our assay data, and the data and ML infrastructure it runs on, from the point the data has been captured to the result that gets delivered. You will work most closely with the protein characterisation scientists who run the assays, and with the software team, who get data out of the instruments and own the platform it lives on. You build on top of that platform, and you own the quality of the analysis that runs on it. The role is part data engineer and part biostatistician, and all of the data is biological. Much of it is building the analysis and ML pipelines that run on our captured data, and the statistics inside them. The rest is presenting those results clearly, with the statistics that matter, such as uncertainty and QC, shown in a form they can understand. The value is in doing that carefully, in code that behaves the same way on every run. What you will own ● Analysis and ML pipelines that turn captured assay and sequence data into consistent, versioned datasets, linked to the sequence, sample, plate and well each result came from, built with the software team who own data capture. ● Data validation before any analysis runs, catching a mislabelled plate, a swapped sample or a missing well. ● Sequence-level bioinformatics, such as computing the properties of each protein sequence and checking constructs for problems before the DNA is ordered. ● Biostatistics for experimental data: experimental design, replicates and controls, error propagation, outlier handling, and assay acceptance criteria, such as CV across replicates, Z′ for plate assays, and reference standards staying within range. ● Curve fitting, including dose-response (EC50 and IC50) with sound normalisation and fits to SPR, BLI, HPLC and nanoDSF traces, with a measure of confidence on each fitted parameter and automated QC that sends doubtful fits to a person. ● Detection of plate, lot and batch effects across a dataset before it is delivered, and control charting of reference standards so drift shows up over weeks as well as within a run. ● The data visualisation that accompanies each delivered result, showing it with its uncertainty, QC and batch structure, so anyone can understand and check it without asking us. Who you are You have worked with messy experimental data and built things other people relied on. That might have been in a biotech or pharma team, an academic lab, a core facility, or a data-heavy field outside biology where you have since picked up the biology. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. You are happy to get your hands dirty on the data. Much of the job is careful, repeated work on real instrument output, and we want someone who takes pride in doing that well. You write code other people can run, and you care how a result reads to the person receiving it. Seniority is not what we are screening for. We are open to someone early in their career and to someone with many years behind them. What we look for is depth and judgement on experimental data. We do not hire people into boxes. This role will stretch past its description, sometimes into the lab and sometimes into conversations beyond the team. Early hires here are expected to pick up what is in front of them. Must have ● Building and running production data and ML pipelines, ideally on scientific or lab data, including data modelling, validation and reproducible, versioned workflows. ● Handling the specifics of biological data: plate layouts, sample and reagent lot lineage, and protein and DNA construct sequences with the standard tools for working with them. ● Biostatistics for experimental data, including experimental design, replicates and controls, curve fitting, and separating batch effects from biology. ● Statistical process control and anomaly detection, so assay drift and instrument variability are caught early. ● Data visualisation for people outside your team, presenting results with their uncertainty and QC so they can understand and check them themselves. ● Fluency in Python and its scientific stack, including pandas, NumPy and SciPy, and in working with coding agents. ● SQL and relational schema design for samples, plates and results. ● Turning scientists' questions into requirements, and writing down the assumptions behind them. Nice to have ● Hands-on analysis of instrument output from a lab, especially trace-based data such as SPR or HPLC. ● R for statistical modelling, such as dose-response fitting or mixed models for plate and batch effects. ● Containers and cloud infrastructure, such as Docker, Kubernetes and AWS. ● Working with data from LIMS, electronic lab notebooks or lab data standards. ● Current protein language models and structure prediction, such as ESM C, Boltz-2, Chai, OpenFold3 or AlphaFold 3. Why this is unusual Most assay data analysis happens far from the lab, on files someone exported weeks earlier, with little record of how the experiment ran. Here you sit next to the lab, the conditions of every run are recorded, and your analysis is delivered alongside the data. The work also changes under you. The lab starts with people running the instruments and becomes automated over time, and the analysis you first build by hand becomes the checks that run on every result. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based in London, at our lab and office in King's Cross. Time in person with the scientists matters for this work. The wider team is distributed and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report to the intelligence lead. You will also work closely with the founders and with the protein characterisation scientists whose data you will analyse. We are a small, elite team, weighted towards science and software. You will be the first person on the intelligence team whose focus is the analysis and ML infrastructure behind our results. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value, run from the same template for every candidate. A technical stage built on a real analysis problem from our lab, not a puzzle. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one. We then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

Join our vibrant fintech startup, Benjamin, backed by top-tier venture capitalists Play Ventures & F4 Fund. We're on the lookout for an experienced and forward-thinking Senior Machine Learning Engineer to our team! At Benjamin, we're passionate about rewarding everyday actions through our MoMo's (Money Moments). Benjamin is a new cash-rewards platform for consumers, merchants and gamers to earn cash, called Benjamin Money Moments, by completing daily tasks, playing casual games, viewing content and ads, and making everyday card purchases with cash back. What you'll do: Own the full ML lifecycle: EDA, problem framing, prototyping, productionizing, and operating models in production. Design, build and deploy ML models that power core product and business decisions. Build and run training, retraining and evaluation pipelines, including experiment tracking and model versioning with MLflow. Set up monitoring for model performance, data quality and drift, and act on what it shows. Write well-tested, maintainable Python and ship through CI/CD on AWS. Partner with data engineering on reliable, efficient data pipelines and SQL-based feature work. Raise the engineering bar through code reviews, design discussions and mentoring other engineers and data scientists. Qualifications 5+ years of hands-on Python software development, with strong engineering practices: testing, code review, CI/CD, Git, and working with AWS and SQL. 3+ years of hands-on experience with DS/ML tools and frameworks such as PyTorch, MLflow, NumPy, pandas and scikit-learn. A track record of building, deploying and maintaining ML models in production, not only in notebooks. Comfort owning the whole ML development cycle: EDA, prototyping, productionizing, and building and operating (re)training and evaluation pipelines. Clear communication with technical and non-technical colleagues, and the judgment to balance model quality against delivery speed. Ideal Candidate: Experience building recommender systems. Experience in the AdTech industry. Experience building deep neural network (DNN) models. Experience with GCP and Snowflake. Why Join Us? Competitive pay : We offer great salaries and bonuses. Thriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement. Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation. Positive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment. About Benjamin Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you're making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It's that simple. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Find Jobs in Germany on Arbeitnow

The role We are looking for a Principal Security Engineer to serve as one of HelloFresh's most senior technical authorities in Security — shaping how we protect the company today while defining the security foundations we will need for the future. This is not a Principal role defined by ownership of a single security domain. Your domain is HelloFresh. You will operate at the intersection of technology strategy, security architecture, engineering and business risk , influencing some of the most consequential technical decisions we make. You will partner with senior Engineering, Product, Data, IT and business leadership to ensure security is not something applied after strategic decisions are made, but a fundamental input into those decisions. You think in systems, not Initiatives — and in years, not quarters. Where others see an IAM issue, application vulnerability, endpoint incident or AI risk, you look for the architectural condition connecting them. You ask not only "How do we fix this?" but "Why can this class of failure exist at HelloFresh, and what should we change so that it becomes difficult by design?" Your job is not merely to secure the systems HelloFresh has today. It is to influence what HelloFresh builds next, define the security architecture that makes it possible, and raise the technical capability of the organisation so that secure-by-default becomes a property of the company itself. You will bring exceptional breadth across Cloud Security, Application & Product Security, Vulnerability Management, Offensive Security, Detection & Response, Enterprise IT Security, IAM & Zero Trust, Endpoint/MDM, Governance & Risk, Third-Party & Supply-Chain Security, and GenAI Security — with the depth and judgment to challenge our strongest specialists and go hands-on when the hardest problems demand it. What you'll do Demonstrate strong bias for action , moving quickly from ambiguity and constraints to clear decisions, ownership, and measurable outcomes. Balance speed with sound judgment, ensuring critical security risks are addressed decisively without creating unnecessary process or delay . Make Security AI-native. Identify operational work across Security that should no longer require repetitive human execution. Drive agents, automation, internal security products and self-service capabilities that encode security expertise and make it available at company scale — with appropriate permissions, human oversight, evaluation and auditability. Shape company and Group strategy through Security. Act as a strategic technical advisor to senior and executive leadership, influencing multi-year technology and business strategy across platforms, products, cloud, enterprise technology, AI, acquisitions and emerging technologies. Translate complex security issues into choices involving customer trust, resilience, engineering velocity, investment and business risk. Own and elevate secure design and architecture at scale across HelloFresh. Define our security architectural principles, reference architectures, trust boundaries, standards, patterns and guardrails with the security leads. Act as a senior technical advisor for our most consequential architecture and security-risk decisions. Connect the entire security system. Establish coherent technical direction across Cloud Security, AppSec/Product Security, Vulnerability Management, Offensive Security, Detection & Response, IT Security, IAM/Zero Trust, Endpoint & MDM, GRC and Third-Party/Supply-Chain Security. Identify systemic risks that individual teams cannot see or solve in isolation. Bring the industry perspective to implementation. Eliminate classes of risk, not individual findings. Drive secure-by-default cloud and product architecture across AWS, Kubernetes, IAM, networking, APIs, distributed systems, CI/CD and software supply chains. Evolve vulnerability management, offensive security and detection toward threat-informed, exploitability-driven and continuously validated defence. Define security for the AI and agentic era. Establish architecture for GenAI applications, LLMs, RAG, AI agents, MCP ecosystems and AI-assisted engineering — covering identity, permissions, tool access, data boundaries, prompt injection, model supply chain, monitoring and auditability. Provide direction for AWS Bedrock, Claude, Gemini, open-source GenAI models and open-source security-focused GenAI models and tooling . Be a force multiplier. Mentor Staff, Senior Staff and Principal-track engineers, challenge architectural assumptions and raise the technical ceiling across Security and HelloFresh. Remain hands-on enough to prototype, review code, analyse attack paths and validate difficult technical decisions when required. What you'll bring 15+ years of deep technical experience , with demonstrated impact at Senior Staff, Principal, Security Architect or comparable scope. The scale of your impact matters more than the number itself. Exceptional breadth across security with recognised depth in multiple domains and a track record of shaping company-wide technical strategy and architecture . Deep expertise across several of Cloud Security, Product/AppSec, Offensive Security, Detection & Response, IAM/Zero Trust, Enterprise/IT Security, Endpoint/MDM, Security Platform Engineering and AI Security — with strong fluency across the broader landscape. Deep understanding of AWS/cloud-native architecture, Kubernetes, IAM, networking, modern application architecture, APIs, distributed systems, CI/CD and software supply chains. Strong adversarial judgment and the ability to connect architecture, realistic attack paths, exploitability, detection and business consequence. Strong engineering skills in multiple programming languages such as Python, Go, Java, TypeScript or Rust. A history of building or shaping platforms, paved roads, automation, policy-as-code, security products and self-service capabilities that materially changed how engineering organisations operate. Exceptional technical judgment and communication — equally credible discussing an exploit chain with a security researcher, architecture with a Staff Engineer and strategic risk with an executive. Demonstrated ability to influence without authority, make high-consequence decisions under ambiguity and make other senior engineers more effective through your technical leadership. Nice to have Experience operating at Principal, Distinguished Engineer or equivalent technical scope in a large technology organisation; hands-on GenAI/LLM/agentic security experience; familiarity with OWASP guidance for GenAI/LLMs, MITRE ATLAS and NIST AI RMF; experience with AWS Bedrock, Claude, Gemini and open-source GenAI/security models; experience with major technology transformations or acquisitions; and meaningful contributions through open source, security research, standards, publications or conferences. Relevant advanced certifications are welcome, but at this level original thinking, technical judgment, engineering credibility and demonstrated impact matter substantially more than certifications. What we offer Global collaboration across HelloTech's hubs in Berlin, Warsaw, NYC, Boulder, and Toronto. High-leverage, technically diverse work spanning ML, backend, data, and product engineering, with a direct line to business outcomes. A genuinely AI-native environment with a mandate to scale that approach further. Technical and engineering leadership in an autonomous, product-led setup, with end-to-end ownership from problem definition to production. Enjoy a discount on HelloFresh meal kits, delivered straight to your door. Build for the long-term with our company pension scheme. Benefit from discounted memberships with Urban Sports Club and John Reed, yoga classes, and access to Headspace and Spill. Balance your work and life with flexible hours, Work From Home/Abroad options, and a home office setup budget. Receive childcare support (not available for interns/working students). Get a monthly allowance for the Deutschlandticket to support sustainable commuting. Embrace "Learning Never Stops" with access to internal trainings and a central L&D budget (remove for interns). Work from a modern, comfortable office in Berlin-Kreuzberg and enjoy social events like team outings, Friday beers, and company runs. Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences, so even if you don't tick every box but think you'd thrive in this role, we'd really like to hear from you. Find Jobs in Germany on Arbeitnow

Your mission Working model: Hybrid countX is a Berlin-based SaaS company that simplifies EU VAT compliance for e-commerce businesses. Our platform automates VAT registration, reporting, and compliance processes, enabling online merchants to expand across Europe with less administrative effort and lower compliance risk. We're looking for a DevOps Engineer to own and scale our AWS infrastructure, streamline deployments, and ensure high availability and security across our systems. You'll be working closely with engineering teams to make our software delivery process fast, reliable, and cost-efficient — all powered by AWS and the AWS CDK. Responsibilities Design, maintain, and improve AWS infrastructure using AWS CDK (TypeScript/Python) Build and maintain CI/CD pipelines (GitHub Actions, CodePipeline, or similar) Automate deployments, infrastructure provisioning, and operational workflows Monitor, troubleshoot, and optimize system performance using AWS-native tools (CloudWatch, X-Ray, etc.) Implement logging, alerting, and observability best practices Manage networking, security groups, IAM roles, and secrets securely Drive cost optimization strategies in AWS Collaborate with developers to improve development-to-production workflows Participate in on-call rotation and incident resolution Your profile 5+ years in a DevOps, SRE, or similar role Strong hands-on experience with AWS services (EC2, ECS/EKS, Lambda, API Gateway, RDS, S3, CloudFront, etc.) Proven experience with AWS CDK for Infrastructure as Code Proficiency with CI/CD tools (GitHub Actions, CodeBuild, CodePipeline, etc.) Good scripting skills (TypeScript, Python, or Bash) Solid knowledge of Docker and container orchestration (ECS, EKS, or Kubernetes) Strong understanding of networking, security, and AWS best practices Experience with monitoring/observability tools (CloudWatch, Prometheus, Grafana, or similar) Nice to Have Experience with AWS cost optimization and tagging strategies Knowledge of serverless architectures (Lambda, Step Functions, EventBridge) Familiarity with compliance requirements (ISO 27001, SOC 2, GDPR) Find Jobs in Germany on Arbeitnow

Deine Aufgaben Pflege, Konfiguration und Erweiterung unserer operativen Systeme ( Zoho CRM, Desk, Books, Sign und angrenzende Tools) Entwicklung von Automationen und Business-Logik mit Deluge , Python und JavaScript: Workflows, Functions , Client-Skripte und geplante Jobs Entwicklung und Verbesserung LLM-gestützter Lösungen : Du baust KI-Agenten und Automationen auf Basis von Large Language Models, entwickelst und testest Prompts, pflegst die zugrunde liegenden Wissensbasen und Trainingsdaten und misst systematisch, ob die Ergebnisse besser werden Design und Implementierung von Datenaustausch zwischen Systemen via REST-APIs, Webhooks und Automationsplattformen Debugging von Integrationen und Behebung von Data-Quality- Issues : Logs lesen, API-Calls nachverfolgen, Ursachen finden und sauber beheben Unterstützung interner Stakeholder : Prozessanforderungen in funktionierende, wartbare Lösungen übersetzen Dokumentation deiner Lösungen , damit sie für andere und dich selbst nachvollziehbar bleiben Mitarbeit an Frontend-/UI-Themen im Rahmen der CRM-Oberfläche Dein Profil Abgeschlossenes Studium (oder kurz vor Abschluss) in Informatik, Wirtschaftsinformatik, einer technischen Fachrichtung oder vergleichbar Interesse an KI- und LLM-Themen und Lust, damit praktisch zu arbeiten Solide Grundlagen in mindestens einer Skriptsprache (z. B. JavaScript oder Python) Verständnis dafür, wie REST-APIs funktionieren: HTTP-Methoden, Statuscodes, JSON, Authentifizierung (z. B. API-Keys, OAuth2-Grundlagen) Grundkenntnisse relationaler Datenmodelle und wie Geschäftsdaten strukturiert sind Strukturierte, analytische Arbeitsweise mit echtem Blick fürs Detail Hohe Lernbereitschaft, Neugier und Agilität bei Veränderungen Gute Kommunikationsfähigkeit und Offenheit, früh Fragen zu stellen Deutschkenntnisse mindestens B2-Niveau Nice to have : Erfahrung mit Zoho -Produkten (CRM, Desk, Books, Creator, Flow), Low-Code-Tools ( Make , Zapier , n8n), Git , SQL oder SSO-Konzepten Warum wir? Sinnstiftende Arbeit: Du ermöglichst barrierefreies Wohnen für Menschen mit eingeschränkter Mobilität – und leistest so jeden Tag einen echten gesellschaftlichen Beitrag Echter Teamgeist: Wir arbeiten nicht nur zusammen, wir halten zusammen. Dich erwartet ein offenes, unterstützendes Team auf Augenhöhe Mobilität & Benefits: Wähle flexibel zwischen dem Deutschlandticket, einem JobRad (nach der Probezeit) oder einer Urban Sports Club Mitgliedschaft Flexibilität: Nutze nach der Probezeit die Möglichkeit zur Workation von anderen Orten aus Mehr als nur Gehalt: Profitiere von attraktiven Corporate Benefits und unserem freiwilligen HORNBACH-Mitarbeiteraktienprogramm Wohlfühl-Office: Dich erwartet ein modernes Büro mit kostenlosen Snacks und Getränken, einer großen Küche und regelmäßigen Team-Events Find Jobs in Germany 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

Overview getpress entwickelt eine eigene KI-Agenten-Plattform (LangGraph, PostgreSQL, Next.js) für die PR-Branche Der Servicemarkt, von Legal über Consulting bis hin zu Agenturen, steht vor der größten Transformation der Geschichte. Gleichzeitig wird der milliardenschwere PR-Markt im Zeitalter von AI-Visibility gerade immer wichtiger. getpress, eine der am schnellsten wachsenden PR-Agenturen Deutschlands (>40 Leute, Kundinnen wie Trivago, Komoot, Fonio AI oder AutoScout24), hat sich entschieden, diesen Wandel zu führen statt abzuwarten. Wir bauen die PR Company der Zukunft: keine reine Service-Company mehr, sondern eine Service-as-a-Software-Company. Unser AI-Team besteht nun seit 4 Monaten, aktuell ein Developer, eine Produktmanagerin und unsere Head of AI. Die Grundarchitektur steht, erste Teile unserer PR-Plattform und des Multi-Agent-Systems laufen produktiv. Jetzt fehlst du – die Person, die als Backend Engineer das technische Fundament zusammen mit unserem zweiten Developer ownt und gemeinsam neu definiert, wie die PR der Zukunft funktioniert. Deine Rolle PR-Plattform: Fullstack-Entwicklung der Plattform, die das Operating System der PR-Agentur 2027 wird. Nah an den Nutzerinnen, in schnellen Entwicklungszyklen, und wo deine Entscheidungen den Kurs setzen. KI-Agenten: Aufbau eines Agenten-Systems, das die PR-Wertschöpfungskette End-to-End neu definiert. Du baust die Agenten, mit denen unsere Berater*innen täglich arbeiten, inkl. Self-Learning-Loops und Multi-Agent-Orchestrierung. Systemarchitektur: Mitgestalten der Systemarchitektur, inkl. Workflows, Datenmodell, Schnittstellen, Compliance und Tech Stack (bisher vorwiegend PostgreSQL, Next.js, LangGraph, Docker) Datenmanagement: Weiterentwicklung der Datenbank-Architektur inkl. relationaler Daten- und Vektor-Datenbanken Wer du bist Must haves: > 3 Jahre Erfahrung in der Softwareentwicklung > 1 Jahr Erfahrung in der Entwicklung von KI-Agenten und -Komponenten wie Memory, Context-Engineering, Retrieval und Orchestration unter Verwendung von Frameworks wie Langchain, CrewAI, Langgraph o.ä. Tech Stack: TypeScript, Python, PostgreSQL, Docker, Git, LangGraph, Github Erfahrung in der Entwicklung von Backend-Systemen mit Frameworks (FastAPI, Spring Boot und NestJS, etc.) und gängigen Programmiersprachen (z.B. Java, Typescript, Python) Erfahrung mit Container-based und Cloud-native Architekturen (Docker, Kubernetes, AWS oder ähnlich) C1-Deutschkenntnisse sind von Vorteil, B2-Niveau ist ausreichend (mit Motivation in deinem ersten Arbeitsjahr den Kurs zu C1 zu machen) Nice to haves: Datenkompetenz: Sicher in SQL, API Design, Schema-Design, Query Optimization Erfahrung mit der Integration von KI-/ML-Modellen in Produktionssysteme, sowie im Verständnis des Modellverhaltens, der Modellleistung und der Modellbeschränkungen Product-Engineering: Erfahrung darin, Anforderungen aus Business- und Nutzer:innen-Perspektive einzuordnen, bevor sie technisch umgesetzt werden Erfahrung in Event-Driven Architecture (Kafka, RabbitMQ, o.ä.) Erfahrung mit Agentic Development (Claude Code, Codex, o.ä.) Was dich erwartet Architekt des Tech-Layers: Du bist unser technischer Experte und gestaltest mit, wie getpress Technologie denkt und nutzt KI in Anwendung: Du bringst KI an der Vorfront technischer Möglichkeiten in unsere Prozesse und Strategie Autonomie: Du arbeitest direkt mit dem Management, setzt eigene Ideen um und definierst Standards, an denen wir uns orientieren Ein echtes Team: Wir begegnen einander auf Augenhöhe – offen, ehrlich und mit echtem Interesse am Gegenüber. Wir lernen voneinander, geben einander Rückhalt und feiern gemeinsame Erfolge. Flexibilität, die wirklich gelebt wird: Ob im Berliner Office oder remote (in DE) – wir setzen auf flexible Arbeitsmodelle mit viel Eigenverantwortung. Wir suchen jemanden mit Wohnsitz in Deutschland. Das heißt wann und wo (in DE) du deinen Arbeitsalltag gestaltest, entscheidest du selbst. Klare Kommunikation und Vertrauen sind dabei für uns selbstverständlich. Wie gehts weiter? Das klingt genau nach dir? Dann sende uns einfach deinen Lebenslauf. Wir freuen uns darauf dich kennenzulernen! Find more English Speaking Jobs in Germany on Arbeitnow

Overview getpress entwickelt eine eigene KI-Agenten-Plattform (LangGraph, PostgreSQL, Next.js) für die PR-Branche Der Servicemarkt, von Legal über Consulting bis hin zu Agenturen, steht vor der größten Transformation der Geschichte. Gleichzeitig wird der milliardenschwere PR-Markt im Zeitalter von AI-Visibility gerade immer wichtiger. getpress, eine der am schnellsten wachsenden PR-Agenturen Deutschlands (>40 Leute, Kundinnen wie Trivago, Komoot, Fonio AI oder AutoScout24), hat sich entschieden, diesen Wandel zu führen statt abzuwarten. Wir bauen die PR Company der Zukunft: keine reine Service-Company mehr, sondern eine Service-as-a-Software-Company. Unser AI-Team besteht nun seit 4 Monaten, aktuell ein Developer, eine Produktmanagerin und unsere Head of AI. Die Grundarchitektur steht, erste Teile unserer PR-Plattform und des Multi-Agent-Systems laufen produktiv. Jetzt fehlst du – die Person, die als Backend Engineer das technische Fundament zusammen mit unserem zweiten Developer ownt und gemeinsam neu definiert, wie die PR der Zukunft funktioniert. Deine Rolle PR-Plattform: Fullstack-Entwicklung der Plattform, die das Operating System der PR-Agentur 2027 wird. Nah an den Nutzerinnen, in schnellen Entwicklungszyklen, und wo deine Entscheidungen den Kurs setzen. KI-Agenten: Aufbau eines Agenten-Systems, das die PR-Wertschöpfungskette End-to-End neu definiert. Du baust die Agenten, mit denen unsere Berater*innen täglich arbeiten, inkl. Self-Learning-Loops und Multi-Agent-Orchestrierung. Systemarchitektur: Mitgestalten der Systemarchitektur, inkl. Workflows, Datenmodell, Schnittstellen, Compliance und Tech Stack (bisher vorwiegend PostgreSQL, Next.js, LangGraph, Docker) Datenmanagement: Weiterentwicklung der Datenbank-Architektur inkl. relationaler Daten- und Vektor-Datenbanken Wer du bist Must haves: > 3 Jahre Erfahrung in der Softwareentwicklung > 1 Jahr Erfahrung in der Entwicklung von KI-Agenten und -Komponenten wie Memory, Context-Engineering, Retrieval und Orchestration unter Verwendung von Frameworks wie Langchain, CrewAI, Langgraph o.ä. Tech Stack: TypeScript, Python, PostgreSQL, Docker, Git, LangGraph, Github Erfahrung in der Entwicklung von Backend-Systemen mit Frameworks (fastAPI, springboot, nestJS, etc.) und gängigen Programmiersprachen (z.B. Java, Typescript, Python) Erfahrung mit Container-based und Cloud-native Architekturen (Docker, Kubernetes, AWS oder ähnlich) C1-Deutschkenntnisse sind von Vorteil, B2-Niveau ist ausreichend (mit Motivation in deinem ersten Arbeitsjahr den Kurs zu C1 zu machen) Nice to haves: Datenkompetenz: Sicher in SQL, API Design, Schema-Design, Query Optimization Erfahrung mit der Integration von KI-/ML-Modellen in Produktionssysteme, sowie im Verständnis des Modellverhaltens, der Modellleistung und der Modellbeschränkungen Product-Engineering: Erfahrung darin, Anforderungen aus Business- und Nutzer:innen-Perspektive einzuordnen, bevor sie technisch umgesetzt werden Erfahrung in Event-Driven Architecture (Kafka, RabbitMQ, o.ä.) Erfahrung mit Agentic Development (Claude Code, Codex, o.ä.) Was dich erwartet Architekt des Tech-Layers: Du bist unser technischer Experte und gestaltest mit, wie getpress Technologie denkt und nutzt KI in Anwendung: Du bringst KI an der Vorfront technischer Möglichkeiten in unsere Prozesse und Strategie Autonomie: Du arbeitest direkt mit dem Management, setzt eigene Ideen um und definierst Standards, an denen wir uns orientieren Ein echtes Team: Wir begegnen einander auf Augenhöhe – offen, ehrlich und mit echtem Interesse am Gegenüber. Wir lernen voneinander, geben einander Rückhalt und feiern gemeinsame Erfolge. Flexibilität, die wirklich gelebt wird: Ob im Berliner Office oder remote (in DE) – wir setzen auf flexible Arbeitsmodelle mit viel Eigenverantwortung. Wir suchen jemanden mit Wohnsitz in Deutschland. Das heißt wann und wo (in DE) du deinen Arbeitsalltag gestaltest, entscheidest du selbst. Klare Kommunikation und Vertrauen sind dabei für uns selbstverständlich. Wie gehts weiter? Das klingt genau nach dir? Dann sende uns einfach deinen Lebenslauf. Wir freuen uns darauf dich kennenzulernen! Find Jobs in Germany 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

Headquarters: Bethesda, Maryland, United States; Remote-US-MA; Remote-US-MD; Remote-US-WA; Vancouver, Washington, United States; Waltham, Massachusetts, United States ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast. You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. This role owns the B2B data graph strategy end to end, blending classical machine learning and data science with LLM and agentic systems, and treating evaluation and inference cost as core disciplines. You'll set the technical bar for a team of senior engineers while staying close to the code, shipping alongside the people you lead. What You'll Do You will ship code alongside your team, prototype alone to prove or kill an idea, and review code as a peer, setting how the team uses agentic coding tools with precise specifications and rigorous review. You will own delivery end-to-end, from problem framing through serving and on-call, including long-tail graph coverage and user memory for agents that separates user-supplied context from system-of-record data. You will choose the right method for each problem — classical machine learning, language models, or code — for challenges like sparse-company revenue estimation, entity resolution, and semantic intent modeling, deciding on measured evidence and stopping work that won't pay off. You will define what it takes to claim an agent's output is correct, not just that its run completed, building the evaluation datasets, regression gates, and experiment designs that back those claims. You will own inference cost, latency, and capacity, including build-versus-buy and distillation decisions, since a model too expensive to run everywhere isn't a result. You will hire and grow machine learning engineers, data scientists, and research engineers, developing senior engineers into technical leaders. You will work across product, platform, security, and legal, and present results and their limits to executives, including when a system isn't good enough to launch. What You Bring Must-Have: You have significant experience building production machine learning systems and leading the engineers who build them by shipping alongside them — demonstrated capability matters more than years. You have a track record of hiring and developing senior machine learning engineers and data scientists against a high bar. You stay hands-on today: shipping code, building prototypes independently, and using agentic coding tools daily with rigorous review. You bring deep classical machine learning and data science expertise (supervised learning, feature engineering, statistical inference and experiment design, strong SQL) alongside production LLM and agentic systems, with the judgment to choose between them, including setting an evaluation bar with leakage-safe validation, calibration, and validated LLM judges. You have a record of cost and capacity decisions for model serving, such as moving a workload from a hosted model to a distilled or self-hosted one, with the savings measured, and you report results to executives with their limits stated, including recommending against a launch. Preferred: You bring entrepreneurial experience — founding a company, or taking a product from inception to paying customers as a founding or early engineer. You have experience in propensity modeling, ranking and retrieval, clustering, or entity resolution at scale. You have worked on web-scale language processing over multilingual, noisy text, knowledge graphs, or user memory for agents. You have experience with post-training and distillation, open-weight model serving, or AI governance and safety practices (ISO/IEC 42001, NIST AI RMF). #LI-hybrid #LI-VC1 Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $233,100 — $366,300 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-director-applied-ai