Remote Dev Jobs
6 jobs available
Harnham - Data & Analytics Recruitment · 🇪🇸 SpainRemote3w ago
Principal Machine Learning Engineer Location: Paris (Remote / Hybrid - Fully Remote or 2 Days in the Office) Salary: 135,000 Base + 15,000 Bonus (OTE 150,000) THE COMPANY This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagemen...
CapsLockRemote1mo ago
Headquarters: Helsinki, Remote, Finland URL: http://capslock.global CapsLock is a global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We solve complex sales challenges across a wide range of industries, primarily for large North American partners. By integrating our expertise in Digital Marketing, IT, Design, AI-driven analytics, proprietary MarTech, and sales consulting, we deliver powerful, data-informed customer acquisition solutions. At CapsLock, people, technology, and forward-thinking innovation lie at the heart of everything we do. Our diverse, global team, fluent in over 10 languages, thrives on open collaboration and the exchange of new ideas, pushing boundaries to ensure our clients' success. Role overview We are building CapsLock's AI Media Production platform, and we're hiring the tech lead who will architect it. We generate visuals of real products, not concepts. Every asset must match the client's actual product 1:1 - down to hardware and geometry. No artifacts, no hallucinations, no "close enough" . This is a control and reproducibility problem, not a prompting problem, and it needs an engineer. This is a greenfield build. You'll be the first engineer in this direction, working directly with the Design Director as the technical interface between creative teams and software infrastructure. What you will work on Architect and run our AI Media Production platform: serving ComfyUI or similar engines, GPU environments, one-click UIs for non-technical teams; Ship modular, versioned, reproducible generative pipelines, node-based and/or code-first (e.g. diffusers); Develop one-click presets and use cases for image and video generation; Train LoRAs end-to-end: from real product photography to evaluated, production-ready models; Build control-first generation into every pipeline: ControlNet, IP-Adapter, inpainting, reference conditioning; Engineer QC into the pipeline itself: automated checks against produc
EverAI · 🇬🇧 United KingdomRemote57y ago
Our Vision & Products 🚀 EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI , we’re shaping what it means to connect with AI. With 50 million users and counting , we're not just building products — we're creating entirely new categories. Our flagship product is the world’s largest AI companionship platform , redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first . And we’re only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) The Role We are looking for a motivated AI Legal Specialist with a passion for all-things-tech & AI to join our Compliance Team. In this role, you’ll be owning legal and compliance-related workflows/projects, guided by and working side-by-side our Legal & Safety Lead, Maxwelle Sokol. This is a unique opportunity to develop your legal expertise at the frontier of AI and e-commerce
Datadog · RemoteRemote57y ago
<p>We are looking for an experienced Principal Partner Manager to build and accelerate growth with our top security-focused channel partners in EMEA. Our ultimate goal is building channels and alliances that drive new customer adoption and revenue. In this role, you will drive Datadog’s business relationships by analyzing partner business performance, identifying methods of increasing partner and Datadog returns, and identifying opportunities with your named partners to position Datadog as the observability & cloud security platform of choice for their install base, programs & contracts. This is a great opportunity for you to join a high-growth cloud software company and help blaze the path for our company's expansion.</p> <p>At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</p> <p><strong>What You’ll Do:</strong></p> <ul> <li>Own the top cloud security-focused channel partner relationships</li> <li>Drive net new and expansion revenue through our top established and strategic cloud security partners</li> <li>Recruit and onboard new security-focused partners aligning to Datadog’s Ideal Partner Profile</li> <li>Oversee Datadog Partner Agreement process and, if needed, collaborate with Datadog Legal</li> <li>Work with partners to develop partner-led insertion points, including joint solution and services offerings</li> <li>Enable and activate existing partners through training, planning and joint selling activities</li> <li>Coordinate the technical and marketing aspects of integrated partnership launches</li> <li>Host regular business reviews with partners to drive accountability and report on success metrics</li> <li>Generate partner-sourced net-new sales pipeline and revenue<br><br></li> </ul> <p><strong>Who You Are:</strong></p> <ul> <li>5+ years of partner-facing, quota-
Hook · 🇬🇧 London, United KingdomRemote57y ago
About Hook We’re building the future of customer growth. At Hook, we use AI and Machine Learning to help businesses predict revenue with accuracy, drive customer loyalty, and capture massive value from their existing customers. We’re a Series A company who ranked 33 out of 100 on the Sifted fastest growing startups and we have raised $multi-million in funding from some of the top investors in Europe and the US (e.g. Balderton Capital and Lightspeed) and have an enviable list of customers that we’re working with including some of the fastest growing companies in the world. We’re looking for ambitious people that want to be part of our meaningful vision of changing how businesses engage with their customers, and of building one of the world’s leading workplaces for great people along the way. Responsibilities: You will wear many hats in your engineering duties. Your day-to-day will include: Working in a team with technical and non-technical colleagues to design and build product features that add value to our customers Working across the stack (back-end focus) and writing clean, well-tested code Own significant parts of our product architecture and propose and lead new improvements Reviewing other software engineers code and provide structured feedback Designing our engineering processes and patterns to be the best for our team Monitoring system performance and ensure everything is up and running Designing our data schemas to suit the needs across the business There’s a lot going on - you’ll be building a brand new category of SaaS product! The more you want to be involved, the more you will find there is to do and the more impact you will have on our joint success. Requirements: We're looking for an ambitious self-starter who wants to be part of an early-stage company full of amazing talent and with a global vision. Experience working on both frontend and backend development. We use React on the frontend side and Python on the back end Experience working in taking pr
Clera · remoteRemote57y ago
About the Role A fast-growing Series A AI model training and evaluation company — headquartered in Mountain View, CA and working with top frontier AI labs — is hiring a Founding ML Engineer focused on Demand Generation . This is a rare opportunity to sit at the intersection of machine learning and growth strategy, building intelligent systems that directly drive user acquisition, conversion, and retention at scale. You'll own the end-to-end development of AI-powered demand generation infrastructure: from lead scoring models and behavioral analytics pipelines to LLM-driven personalization and campaign optimization. Think of it as engineering meets growth — where the models you ship create measurable business impact. This role is on-site in Mountain View, CA. No remote or hybrid option is available. Candidates must be authorized to work in the United States without employer sponsorship. What You'll Do Build and deploy ML models for lead scoring, conversion prediction, and campaign performance optimization. Automate demand generation workflows end-to-end — from audience segmentation to personalized outreach. Design and maintain data pipelines for behavioral analytics, audience targeting, and A/B experimentation. Partner closely with marketing and product teams to translate growth objectives into measurable ML solutions. Experiment with LLMs, recommendation systems, and generative AI for content creation and outreach personalization. Establish data-driven frameworks for channel optimization and ROI tracking across marketing programs. What We're Looking For Required 3–10 years of hands-on ML engineering or data science experience, with direct exposure to demand generation, lead scoring, or campaign optimization. Strong proficiency in Python and ML frameworks ( PyTorch and/or TensorFlow ) for building and shipping production-grade models. Proven experience building and deploying data pipelines for behavioral analytics, audience segmentation, targeting, and experimentation