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Evaluate AI-generated 3D scenes, interactive environments, simulations, and spatial experiences for visual and technical quality. Provide clear, structured feedback on scene composition, lighting, materials, physical dynamics, asset integration, interaction, and overall visual coherence.

Evaluate AI-generated games and interactive experiences for gameplay quality, technical execution, and overall player experience. Provide clear, structured feedback on gameplay loops, mechanics, controls, physics, level design, UI, visual feedback, and overall game feel.

Location: Serbia; Greece; Romania; Malta; Estonia; Poland Open to candidates across EU / EMEA time zones (UTC+0 to UTC+3) FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Paid Social & Mobile App Growth Manager. You will own two of our biggest growth levers: paid social across web and app, and mobile app growth from install to first-time deposit (FTD). Sitting in the Growth Team (Global Paid Growth), you will set strategy, run a multi-channel budget and decide each month where spend goes, web sign-ups or app installs, based on cost per FTD and return on ad spend (ROAS). You will own the numbers from impression to FTD and beyond. How success is measured Leads and FTDs from paid social (web) and from the app, by source and region. Cost per install, cost per registration and CPA per FTD against target, by region and platform. Install-to-FTD conversion rate. 30 / 90-day ROAS on web and app cohorts. Spend within the approved monthly budget. App store conversion rate (page view to install), keyword rankings and average rating. Responsibilities Strategy and budget Own the paid social and mobile app acquisition strategy, budget and forecast across all target regions. Decide each month how spend splits between web and app objectives, based on cost per FTD, ROAS and install-to-FTD conversion. Manage monthly budget pacing with Marketing Operations, reallocating spend weekly based on CPA, ROAS and cohort quality, and report performance against objectives. Paid social (web and app) Plan, launch and optimise paid campaigns across Meta, TikTok, Snapchat, X, LinkedIn and Reddit, for both web leads and app installs. Own account structure, audiences, bidding and campaign naming across all paid social platforms. Optimise beyond installs and leads to registration, KYC completion and FTD, using value-based and event-based bidding. Run a continuous creative testing programme with the Creative and Content teams: briefs (video, playables, static, store assets), variants, learnings and fatigue tracking. Mobile app acquisition Plan, launch and optimise app install and in-app event campaigns across Apple Search Ads, Google App Campaigns (UAC) and selected programmatic / mobile ad network partners. Source, onboard and manage app networks and agencies, with strict fraud controls. ASO and organic app growth Own App Store and Google Play optimisation: keyword research, metadata, screenshots, preview videos and localisation for priority languages. Run store-listing experiments (Google Play Experiments, Apple Product Page Optimisation) and Custom Product Pages aligned to paid campaigns. Grow ratings and reviews through in-app prompts and review management. Drive web-to-app and cross-channel installs with SEO, Content, CRM and Partnerships (IB/affiliate) teams, including deep links and QR flows. Measurement and attribution Own mobile measurement through our MMP (AppsFlyer): SDK events, deep links, SKAdNetwork / AdAttributionKit, Google Privacy Sandbox for Android, and UTM / tracking-link standards. Keep web (Meta Pixel / Conversions API) and app (MMP) attribution aligned and deduplicated, so paid social results are counted once. Work with Data Engineering on cohort, CAC, LTV, ARPU and ROAS reporting (30- and 90-day) that ties installs and sign-ups to FTD and net deposits. Keep event tracking, postbacks and attribution windows accurate across all partners. Funnel and conversion Partner with Product and Dev on onboarding, KYC and first-deposit flows in the app to lift install-to-FTD conversion. Work with the CRM & Lifecycle manager (Salesforce Marketing Cloud) on push, in-app and email journeys for new app users. Compliance Ensure all ads and app store assets meet the requirements of each regulator (ASIC, CySEC, FSCA and others), platform ad policies for financial products, and Apple / Google app store guidelines, including risk warnings and country restrictions. Out of scope Organic social and community (Discord, Reddit communities, Telegram), owned by the Organic Social & Community Growth Manager. Candidate profile Must have 4+ years in paid acquisition, covering both paid social (Meta, TikTok and at least one other platform) and mobile app user acquisition. Proven experience in online retail trading (FX/CFDs), iGaming or crypto: you understand regulated, high-CPA acquisition, deposit-driven funnels and the ad-platform restrictions these verticals face. Hands-on ownership of a multi-channel paid budget of USD 250k+ a month. Hands-on experience with Apple Search Ads, Google App Campaigns, MetaAds, LinkedIn, X and ASO, with proven results on both App Store and Google Play as well as driving Web/Desktop Leads and FTDs Deep working knowledge of an MMP (AppsFlyer preferred), SKAdNetwork, post-ATT measurement and deep linking, plus Meta Pixel / Conversions API. Strong analytical skills: cohort analysis, LTV modelling, incrementality thinking and ROAS-based budget decisions; comfortable in Excel / Google Sheets and BI dashboards. Experience optimising to down-funnel events (registration, deposit), not just clicks or installs. A track record of running structured creative testing at scale. Fluent English, written and spoken. Nice to have Experience with programmatic and mobile ad networks. Experience with Snapchat, Reddit and other social or new ad channels such as ChatGPT. Knowledge of financial-promotion rules (ASIC, CySEC, FSCA) and Apple / Google policies for financial apps. SQL or BigQuery; familiarity with Salesforce Marketing Cloud. A second language relevant to our key markets (e.g. Spanish, Portuguese, Arabic, Chinese, Thai or Vietnamese). Personal attributes Commercial and numbers-driven: you decide on cost per FTD, not clicks or installs. Comfortable owning a large budget and explaining every euro of it. A fast tester who learns from failures and scales winners quickly. Collaborative with Creative, Product, CRM and Data Engineering. Our offer A welcoming, young and multicultural team with approachable leadership. Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase. Support for your ideas and room to put your expertise into the company's best practices. Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders. Competitive remuneration, regular salary reviews and performance-based incentive schemes. A vibrant company life: from team activities to global celebrations. Journey to FP Markets Interview with HR Interview with the CMO Interview with the Head of Trading Platform Development Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Remote Workplace: Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including: - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: USA - Remote Workplace: Remote About Us Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data. Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We’re hiring our first dedicated Product Security Engineer to make that work systematic. You’ll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You’ll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you’ll fix the problem yourself. Other times you’ll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly. You’ll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You’ll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering https://grc.engineering/, compliance (SOC 2) goals, audits, and corporate security. This role is a new one at Close. You’ll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk. OUR STACK Our backend is primarily Python, with Flask and FastAPI services and TaskTiger https://github.com/closeio/tasktiger and Temporal handling much of our asynchronous work. We expose REST https://developer.close.com/ and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis. Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native. We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines. For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path. We love open sourcing our code and ideas on our GitHub https://github.com/closeio and on The Making of Close https://making.close.com/, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark https://github.com/closeio/socketshark, TaskTiger https://github.com/closeio/tasktiger, LimitLion https://github.com/closeio/limitlion and ciso8601 https://github.com/closeio/ciso8601. AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting. YOU ARE - An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better. - Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems. - Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix. - An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise. - AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials. - Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner. - Comfortable working across the business. You’ll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix. - Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress. You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you. YOU WILL The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include: - Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations. - Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don’t. - Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere. - Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues. - Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps. - Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill. - Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team. - Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review. - Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence. Tech you’ll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Location: Baku Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. Open to current graduate students and recent graduates of a Computer Science, Software Engineering, or related program . How to Apply Please include: A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. Why Technology at loveholidays Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The difference you’ll make You’ll sit in the Discover and Book team, reporting to the Lead Software Engineer. You’ll work closely with our product and design teams to help shape fast, accessible and reliable experiences for customers. You’ll work on high-impact journeys across search, discovery and booking, helping customers find and book their next holiday across web and mobile, while continuing to evolve our frontend platform and keep us at the forefront of modern web engineering. You’ll create polished, high-performing customer experiences that make finding and booking a holiday simple and trustworthy. You’ll bring strong product and engineering judgement to the team, balancing speed of delivery with accessibility, performance, consistency and long-term maintainability. Discover and Book sits within our Customer Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. You will: - Build modern, responsive web experiences that are fast, accessible, reliable and maintainable. - Work closely with Product and Design to turn customer problems into simple, intuitive journeys. - Raise the quality bar for UI by ensuring experiences are accessible, visually consistent and work well across devices, browsers, languages and European markets. - Build and evolve customer journeys that work seamlessly across the web and our iOS and Android app, accounting for the behaviours and constraints of each platform. - Evolve our design system, shared components and design tokens so teams can build consistent experiences quickly. - Improve web performance, including page load speed, rendering, bundle size and Core Web Vitals. - Use experimentation, analytics and customer insight to make informed product decisions. - Build well-tested, observable features and use production signals to continuously improve them. - Collaborate with backend engineers on APIs and data contracts, keeping data ownership clear and frontend integrations straightforward. - Mentor other engineers through pairing, code review and pragmatic technical guidance. - Contribute to our frontend migration, bringing customer journeys from our established application onto our modern shared frontend platform. Your day-to-day: - Deliver customer-facing features iteratively, using experimentation and customer insight to validate ideas and improve outcomes. - Partner with engineers, designers, product managers and analysts within and beyond your team. - Build and maintain reusable UI components, patterns and tooling. - Validate customer experiences across web, iOS and Android. - Make thoughtful technical decisions that support both immediate customer value and longer-term platform goals. - Ensure features are accessible, resilient and measurable. Investigate and resolve production issues using observability tools, analytics and customer feedback. - Leave the codebase, documentation and developer experience better than you found them. Your skillset: - Experience building server-rendered, performant web applications. - A strong understanding of HTML, CSS, responsive design and browser behaviour. A practical commitment to web accessibility and inclusive design. - Experience creating and maintaining component libraries or design systems. - Experience consuming and shaping APIs, ideally GraphQL and REST. - Strong testing habits across unit, integration and end-to-end testing. An understanding of performance, monitoring, reliability and observability in customer-facing web applications. - The ability to break down ambiguous problems, make sound trade-offs and deliver incrementally. - Takes ownership of outcomes, not just tasks. Proactively identifies opportunities to improve the customer experience and considers how their work supports our customer vision as we scale into new markets. - You can work effectively across frontend and backend boundaries, collaborating with teams to deliver end-to-end customer journeys. - Clear communication and a collaborative approach to working with Design, Product and Engineering colleagues. Our frontend tech stack Core: TypeScript · React/Preact · Vite · SSR · GraphQL · Figma · Storybook · GitHub Other: Panda CSS · Design Tokens · Node.js · Vitest/Jest · Playwright · Appium · Capacitor · OpenTelemetry · Sentry · Feature Flags The interview journey: - Talent intro - 30 mins - 1st stage with two Software Engineers - 45 mins - Take-home challenge - Final stage with key stakeholders, in office - 3 hours - Challenge discussion - 1 hour - Reliability and Infrastructure - 45 mins - Tech and Product Culture - 45 mins Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. AI agents don't run in browsers. They run in sandboxes — and you will lead the team building ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 8+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

About Sezzle: Sezzle is a fintech company focused on revolutionizing the shopping experience by blending technology with interest-free installment plans to empower consumers and increase merchant sales. About the role: We are seeking a detail-oriented and proactive AML Compliance Analyst to support Sezzle’s Compliance Team. This role provides second-line oversight and day-to-day advisory support across a wide range of business activities by translating regulatory requirements into practical guidance, executing operational compliance reviews, and producing governance-ready documentation and reporting. The role ensures adherence to regulatory requirements and supports the development of internal policies, standards, and procedures, fostering a culture of integrity and accountability. What You'll Do: — Provide compliance advisory support to business partners on consumer finance and payments requirements; document guidance, decisions, and follow-ups. — Support the intake, tracking, and completion of Compliance Operations, Advisory, and Financial Crimes Compliance work using defined workflows and evidence standards. — Perform second-line oversight reviews of complaint handling for higher-risk channels and contribute to complaint trend and root-cause analysis. — Support issues management governance by maintaining issue/action logs, validating remediation plans and evidence, and monitoring aging to closure. — Participate in change management oversight by reviewing initiatives for compliance impacts, control readiness, and required approvals/escalations. — Conduct pre-use compliance reviews of marketing and customer communications; identify required disclosures and risks and document results. — Assist with product development compliance assessments for new products and material initiatives; coordinate inputs, maintain risk/control documentation, and track conditions for launch. — Support third-party compliance activities for customer-facing vendors. — Support Financial Crimes Compliance operations including transaction monitoring, alert and case review, and disposition. — Assist with sanctions/OFAC screening and watchlist management. — Support Customer Identification Program (CIP) and Customer Due Diligence/Enhanced Due Diligence (CDD/EDD) activities. — Assist in preparation, documentation, and quality review of Suspicious Activity Report (SAR) narratives and supporting evidence. — Advise business, product, and operations partners on financial crimes requirements and control expectations. — Support responses to subpoenas and regulatory information requests. — Prepare clear written memos and governance-ready summaries for leadership and partner reporting. — Assist in gathering and delivering relevant information for regulatory reviews, examinations, audits, or other supervisory events. — Support additional compliance-related initiatives and projects as assigned. Required Qualifications: — Self-motivated, adaptable, capable of working independently or collaboratively. — Solid understanding of regulatory frameworks, laws, and compliance requirements applicable to consumer financial products and services, including financial crimes requirements (BSA/AML, USA PATRIOT Act, OFAC/sanctions). — Experience in compliance operations/advisory, risk management, quality assurance, or other control/oversight activities. — Strong written communication skills. — Strong project management and organizational skills. — Analytical thinker with sound judgment and proactive mindset. — Excellent interpersonal and communication skills. — High integrity and ethical judgment. — Working knowledge or ability to quickly learn Financial Crimes Compliance operations. — Comfort working with high-volume data and structured review workflows. Education & Experience: — BS/BA degree or higher in accounting, finance, business administration, legal studies, information systems, or related field. — Minimum 3 years professional experience in consumer finance, fintech, banking, or regulated environment preferred. — Financial industry compliance certifications (e.g., CAMS) a plus. — Experience supporting complaint management, issues management, change management, marketing review, product compliance assessments, financial crimes compliance, or third-party oversight highly desirable. About You: — High standards and commitment to quality. — Innovative and not bound by convention. — Action-oriented with a focus on speed and calculated risk-taking. — Earns trust through attentive listening and respectful communication. — Willing to challenge decisions respectfully and commit once decisions are made. — Delivers results with focus and resilience. What Makes Working at Sezzle Awesome: — Culture focused on excellence and innovation.

Location: EU Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About the role CertiK works with banks, regulators and regulated financial institutions that adopt digital assets. We build regulatory technology for these markets, and we are hiring a solutions consultant to be CertiK's presence with clients across Europe. You will meet with banks, CASPs and regulators, present our products and services, learn their problems, and lead consulting-style engagements to solve them. This is a forward-deployed role. You work from the client's side of the table, embedded with compliance and risk teams at banks, VASPs and regulators in the Europe and neighbouring markets when an engagement calls for it, owning the relationship on the ground. What you learn there sets the direction for Product and the commercial approach. What you'll do Spend extended periods on site with compliance, risk and innovation teams at banks, CASPs, custodians and regulators in the Europe and nearby markets Run discovery with clients and prospects: understand their workflows, tools, pain points and regulatory obligations, including the reason behind each request, and document them in the client's own words Bring findings back to Product and Business Development in a form that shapes the roadmap and the sales approach Partner with Business Development in client meetings and regulator conversations: BD owns the commercial relationship, you own the solution and the follow-up on the ground Present CertiK's products and services clearly to senior client teams, and turn pain points into scoped proposals with clear deliverables and timelines Deliver advisory engagements, including licensing readiness reviews, gap analyses, technical due diligence, digital asset strategy assessments, workshops and reports Represent CertiK at industry events and regulator meetings in the region Coordinate with CertiK teams in the US, Europe and Asia across time zones Requirements 3+ years in a client-facing role such as consulting, solutions or business development, or in a compliance, risk or regulatory role at a financial institution or CASP Experience working with or inside banks, CASPs or other regulated financial institutions, whether in-house or through consulting or advisory engagements; you understand how a compliance or risk function runs day to day Available to be based at client sites for weeks at a time, with regular travel across the Europe and occasional travel beyond it Knowledge of bank regulatory compliance and technology Professional writing and presentation skills: produces client-ready reports and presents them to senior compliance, risk and executive audiences Operates independently: runs a client relationship and an engagement end to end with light supervision Location: Europe. Frequent on-site time with clients across Europe. Bonus points Knowledge of MiCA, FCA, BaFin, AMF or other European licensing regimes Experience with VASP licensing, regulatory examinations or compliance remediation Experience with compliance, risk or surveillance software Big 4 or financial services consulting background A second European language Existing relationships with compliance, risk or innovation leaders across Europe banks, CASPs or regulators This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Ireland Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. We're looking for a Localisation Project Manager (Localisation Operations Specialist) based in Ireland to join our Managed Services team. In this role, you'll own the end-to-end localisation lifecycle for a portfolio of enterprise clients, serving as both their operational point of contact and a key contributor to how our team delivers value. This is a role for someone who brings real localisation experience, thrives in a fast-paced, remote-first environment, and is energized by the challenge of balancing operational precision with strong client relationships. You Will Act as your clients' embedded localisation operations expert, serving as the primary operational point of contact and trusted advisor for assigned accounts. Foster strong stakeholder relationships, navigate competing priorities, and coordinate cross-functional teams to ensure the successful execution and continuous improvement of clients' localization programs. Design and optimize localisation processes within Smartling’s platform and client-preferred project management and content management tools, overseeing the end-to-end job lifecycle and tailoring configurations to each client’s unique requirements, including effective use of AI tooling where applicable. Solve problems both independently and collaboratively, bringing a solutions-first mindset to client challenges and internal roadblocks. Proactively drive operational excellence by identifying and implementing process improvements, documenting best practices, and leveraging automation and AI-enabled solutions to streamline workflows, enhance scalability, and improve team efficiency You Have At least 2-3 years of experience in localisation or translation project management, ideally within a managed services or agency environment Solid understanding of localisation file formats, content types, and CAT/TMS tooling Strong client management skills: comfortable leading calls, navigating difficult conversations, and representing the team externally Proficiency with project management and reporting tools (e.g., Jira, Asana, Google Sheets, Looker, or equivalent) Experience coordinating with cross-functional teams across engineering, QA, and vendor management Excellent organizational and time management skills, with sharp attention to detail and the ability to manage competing priorities across time zones Strong written and verbal communication skills Preferred but not required Hands-on experience with Smartling or other TMS platforms (such as Phrase, XTM, or MemoQ) Experience supporting enterprise or SaaS clients in an operational or customer-facing role. Fluency or working proficiency in a second language Interest in language, technology, or global content strategy You Are Accountable. You take full ownership of your accounts, addressing issues promptly and documenting root causes and preventative actions for future improvement. Customer-Focused. You understand that client deadlines and requirements are real business commitments and consistently approach them with urgency, accountability, and care. Adaptable. You adjust effectively to changing scope, priorities, and unexpected client inputs without losing focus or execution quality. Communicative. You proactively stay ahead of client needs by sharing status updates, surfacing risks early, and contributing insights, guidance, and best practices. Process-Driven. You adhere to established processes while actively identifying opportunities to improve efficiency and consistency. You Will Enjoy Freedom 🏡- we are remote-first Growth - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary Wellness - company-sponsored Health insurance plan & pension plan with company matching Balance - flexible PTO + 10 bank holidays! Generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral programs and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. To all recruitment agencies: Smartling does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or Smartling employees. Smartling is not responsible for any fees related to unsolicited resumes. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You’ll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company, and you’ll have an opportunity to build most of them from scratch. This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You’ll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams. WHAT YOU’LL WORK ON: - Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes - Design a legal intake process to support and route legal requests from internal stakeholders - Make the legal function faster with AI, and build and configure tooling to make us more efficient - Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database - Be the point person for corporate compliance, including entity management, foreign and domestic qualifications and filings, and coordination with registered agents - Support stock administration and cap table hygiene - Manage outside counsel and legal spend YOU MAY BE A FIT IF: - You have 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company - You’ve built and documented processes from the ground up, not just executed existing ones - You have experience configuring workflows and templates within Ironclad or a similar CLM - You have experience with AI tools and good instincts about where they help and where they quietly introduce risk - You have sound judgment about what to handle and what to escalate NICE-TO-HAVE: - Exposure to corporate and equity administration - Familiarity with Carta or a similar equity administration platform

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Senior Commercial Counsel to join us as the first commercial lawyer at Modal. This is a high-impact role for someone who wants to draft and negotiate a wide variety of commercial agreements and build the templates, playbooks, and positions that guide our operations. You’ll report to our General Counsel and collaborate closely with the Sales, BizOps, Finance, and Engineering teams and help build the foundation for a small but growing legal team. WHAT YOU’LL WORK ON: - Own customer contracting, including MSAs, service orders, NDAs, DPAs, and BAAs, negotiating directly with customers and partnering with the Sales team throughout the full deal cycle - Lead vendor-side contracting, including capex procurement, SaaS tools, and consulting arrangements, among others - Build and maintain contract repositories, template libraries, and contract playbooks - Partner with Legal Operations on our CLM, including approval workflows and escalation logic - Review and revise operational policies (terms of service, privacy policy, acceptable use, and website terms) and customer-facing marketing materials YOU MAY BE A FIT IF: - You have approximately 5-10 years of combined law firm and in-house experience negotiating commercial technology agreements, with meaningful time supporting an enterprise sales motion - You have a JD and active bar membership in good standing in New York or California - You’re deeply familiar with SaaS contracting - You’ve worked extensively within Ironclad or a similar CLM - You can build templates and playbooks from scratch - You have working knowledge of privacy and regulatory data protection frameworks, such as GDPR and HIPAA - You have sound commercial judgment and know how to balance risk with the business needs of a high-growth tech company NICE-TO-HAVE: - Experience with infrastructure, compute, or datacenter supply agreements

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit within the Shopping team, reporting to the Lead Product Manager. The Shopping team turns travel supply into accurate, commercially optimised, bookable and payable holidays. It provides shared data and services that help customers, teams and partners make better selling decisions. On the payments side, you’ll work closely with Engineering and Commercial Payments to own product strategy and delivery for the Payments platform. Together, the team will make it easier for other teams to offer, operate and improve payments without rebuilding the same logic in each customer journey. You will: - Build a flexible international payments platform: Define the shared services, data and APIs that meet local customer and market needs, while allowing payment methods to be launched and managed consistently across markets and customer journeys. - Create reliable foundations: Improve the payment data, provider integrations and fraud controls that keep payments secure, dependable and easier to manage. - Make payment methods easier to launch: Help teams configure, test and release supported methods safely, with less engineering work and clearer ownership. - Enable payment optimisation at scale: Provide shared data and platform capabilities that help teams improve payment success and offer relevant payment methods across markets and journeys. Apply AI to improve insight and enable responsible automation where it delivers measurable value. Your day-to-day: - Working with your lead engineer and stakeholders to set the Payments vision, roadmap and success measures. - Working with market experts, commercial teams and Customer Product teams to understand payment needs. Provide data to inform their decisions and translate agreed requirements into reusable platform capabilities. - Exposing reliable payment data and provider insights so teams can understand failures, drop-off, acceptance rates and customer pain points. Work with those teams to prioritise the platform improvements needed to improve payment performance. - Leading delivery: Lead work across payment services, provider integrations, payment data, configuration and fraud controls. Keep the platform straightforward for other teams to use. - Working directly with payment providers and aggregators to solve issues, evaluate new capabilities and hold partners to the standards customers need. - Explaining trade-offs clearly to technical and non-technical stakeholders, and building agreement on decisions that span several teams. Your skillset: - Platform product experience: You have owned a technical, API-led, data-rich or internal platform product that is used by more than one team or customer journey and involves a payments ecosystem. - Systems thinking: You can understand how payment data, provider integrations, customer journeys, commercial rules and operational processes fit together, then turn that into reusable product capabilities. - Technical fluency: You can work closely with engineers on APIs, integration patterns, data models, reliability, observability, security and migration work. You do not need to be an engineer, but you can make sound product trade-offs with them. - Payments and commercial judgement: You understand the payment ecosystem and how method availability, payment success, fraud, cost and customer trust affect growth. - Data-led problem solving: You are comfortable using data to investigate problems, define useful measures and judge whether a change is improving payment performance. - Customer empathy: You understand that payments can be stressful, especially when people are making high-value holiday purchases or managing payments after booking. You use this to advocate for clear, dependable journeys. - Strong delivery and communication: You can lead complex work through ambiguity, make priorities clear and bring technical, commercial and operational stakeholders with you. You deliver iteratively, focusing each step on meaningful value while keeping the team aligned to a clear long-term direction. - AI literacy: You use AI tools confidently and can demonstrate their impact. You understand their strengths and limitations and can apply them responsibly to improve your work and payment capabilities. The interview journey: - Talent intro, 30 minutes - First stage with the hiring manager, 45 minutes - Final stage with key stakeholders, including a platform case to present, 1 hour - Behavioural and culture conversation with the Director of OTA Platform (Shopping’s pillar), 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring a Field Marketing Manager in San Francisco to build and run the programs that turn Modal’s target accounts into active customers. You’ll work closely with our Sales team to plan regional campaigns, run events for the engineers and technical leaders we sell to, and report on how those programs contribute to pipeline and revenue. This is a hands-on role for someone who has run account-based field programs at a technical company and wants to help shape the function as it grows. WHAT YOU’LL WORK ON: - Act as a strategic partner to Sales, aligning field programs with sales priorities and helping AEs create and accelerate pipeline in their territories - Develop and execute account-based programs for named accounts, working with Sales to identify key stakeholders and the right mix of touchpoints for each - Decide which industry conferences and sponsorships are worth investing in, and own what we bring, who we send, and whether we go back next year - Plan and host high-touch 1:1 and 1:few events for prospects and customers, such as executive dinners, roundtables, and technical workshops, in partnership with AEs - Own pre-event and post-event execution, including targeted invitations, meeting booking, and timely follow-up with Sales - Build co-marketing programs with VCs, accelerators, and ecosystem partners to reach their portfolio companies and customers - Track and report on program performance, including meetings booked, account engagement, and sourced and influenced pipeline, and use the results to plan future investment - Own the VIP experience at Modal’s flagship events, including our annual conference, Runtime - Build repeatable processes and playbooks as the team grows YOU MAY BE A FIT IF: - You have a track record of running field programs at a technical company and can point to specific ones and clear outcomes - You’ve worked directly with AEs and you’re happy sharing a number with them - You have good judgment about where to spend: a lot of sponsorships look better than they perform, and you can tell which is which - You’re organized and self-directed, and comfortable running many events, partners, and vendors at once - You’ve produced events across a range of formats, from small executive dinners to large conference sponsorships and brand events - You have strong attention to detail and a high bar for taste and the quality of every event and touchpoint - You’re comfortable with data and reporting, including CRM, attribution, and pipeline analysis - You’re familiar with ABM, intent data, and marketing automation tools - You’ve built AI into marketing workflows, such as account research, audience development, event operations, and reporting NICE-TO-HAVE: - Experience at an AI, developer tools, or cloud infrastructure company - Experience marketing to technical audiences such as engineers, ML teams, and technical executives - Experience bridging product-led and sales-assisted growth - Existing relationships with Bay Area VCs, accelerators, or AI communities