Publishing Manager - France

Voodoo

ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. This position is Paris-based, with relocation support available. TEAM Our Publishing team plays a strategic role in the company’s growth and serves as a launchpad for Voodoo’s future leaders. The team brings together top performers from consulting, finance, and tech with a passion for product, creativity, and execution. As part of Voodoo Gaming, we partner with studios to build games from initial concept to global launch, aiming to create the next wave of iconic, chart-topping hybrid-casual hits. With over eight billion downloads and counting, Voodoo is the world’s largest and most successful hybrid-casual publisher. You will join a small and high performing team and your main responsibilities will be: ROLE * Building and managing a portfolio of high-potential studios through outreach, industry events, and partnerships * Guiding studios on product strategy and creative direction to build strong, marketable prototypes * Leading launches as a product director by forming the product vision, roadmap, and execution to scale successful titles * Owning the full P&L of your games, with a sharp focus on growth and profitability * Driving deep market and competitive analysis to identify trends and define what we should build next PROFILE * Master’s degree from a top-tier business or engineering school * 3+ years in a fast-paced, analytical environment (e.g. consulting, banking, tech, or startups) * Strong strategic thinking, product sense, and analytical skills * Passionate about gaming and consumer products * Comfortable owning complex projects and working autonomously * Excellent communication and interpersonal skills * Fluent in English and Russian * Personal passion or creative interest outside of work BENEFITS * Competitive salary * Premium healthcare (SideCare) for you and your family 100% borne by Voodoo * Swile Lunch voucher * Gymlib (100% borne by Voodoo) * Wellness activities in our Paris office * Remote days * Child daycare facilities (Les Petits Chaperons rouges)

Datadog

The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record.   We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all.   The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you.   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.   What You'll Do:   * Design and build custom mid-size models for high-throughput stream processing, and train them at scale.   * Optimize these models from start to finish, working across both the mathematics and the systems, often by finding mathematical reformulations that fit the hardware and software constraints better.   * Build the training data pipelines the work depends on when they do not already exist, from the raw stream to a training-ready dataset.   * Work with engineering to integrate models into production, with a clear focus on GPU utilization, latency, and cost per record on live traffic.   * Plan the roadmap of model and system improvements, based on a solid understanding of the product and of what matters most to users.   * Build an agentic layer on top of the models to analyze, validate, and act on their outputs.   * Build lightweight interpretability tools that make model behavior easier to explain to the people who rely on it.   * Maintain and monitor the models, services, and infrastructure your team owns, and take part in your team's on-call rotation.   Who You Are:   * You have a BS/MS/PhD in Computer Science, Engineering, Machine Learning, Applied Mathematics, or a related scientific field, or equivalent experience.   * You have hands-on experience training and fine-tuning models at scale, and deploying them into production systems with real throughput and cost constraints.   * You have a working knowledge of how GPUs work, and a track record of making models run efficiently within real hardware constraints.   * You have strong applied-mathematics fundamentals and reach for them naturally when designing and optimizing models.   * You have a real passion for applied mathematics, software design, and implementation. This role sits at the intersection of the three, and it is a requirement for the position.   * You care about code simplicity and performance, and you can build the data pipelines and the surrounding production code, in addition to the models themselves.   * You can explain complex ideas and trade-offs clearly to engineers and product partners, and you let a solid understanding of the product guide what you build next.   * Bonus: experience with efficient sequence architectures, model interpretability, or large-scale streaming systems.   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth:   * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Opportunity to attend and present at conferences and meetups, and to publish your work * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Competitive global benefits   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog, Equal Opportunity, and Privacy and AI Guidelines boilerplate is appended automatically by the applicant tracking system. Add Datadog's current standard blocks before publishing.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Payhawk

Company Mission Payhawk is a leading global spend management solution for scaling businesses. Headquartered in London and combining company cards, reimbursable expenses and accounts payable into a single product; its future-facing technology enables finance teams to control and automate company spending at scale. The Payhawk customer base includes fast-growing and mature multinational companies in 32 countries including LuxAir and Wagestream. With offices in New York, London, Berlin, Munich , Barcelona, Paris, Amsterdam, Vilnius and Sofia; Payhawk is backed by renowned investors such as Lightspeed Venture Partners, Greenoaks, QED Investors, Bek Ventures and Eleven Ventures. Our values include supporting flat hierarchies, taking ownership and responsibility, seeking and providing feedback, managing constructive critique, and speaking our minds. We understand that the best ideas don’t all come from the same place, so we encourage diversity and inclusion in all areas of our work. The future of fintech is about more than money, and we believe in work-life balance, continual learning, and empowered teams. We’re also on a journey to measure and improve our environmental and social impact. From virtual cards to digital subscriptions, our software and automation help take paper out of the equation for our customers, too. We’re changing the world of payments, and we’re looking for an exceptional team to help us.  ABOUT THE ROLE We want to build a brand finance loves, and content is how that brand demonstrates its relevance, authority, and point of view. As Content & AI Enablement Team Lead, you will lead our global editorial agenda and build the systems that help high-quality content scale across Payhawk. This is a player-coach role. You will own our most important top-of-funnel content programs, remain hands-on with strategic writing and editing, and enable Product Marketing, SEO, Demand Generation, and regional teams to produce strong content through clear workflows, tools, templates, and standards. RESPONSIBILITIES LEAD OUR GLOBAL CONTENT STRATEGY *       Define the themes, problems, and perspectives Payhawk should own with finance leaders. *       Turn company, customer, market, and product insight into a focused editorial plan. *       Build a coherent top-of-funnel narrative across our brand, platform, products, customers, and leadership. *       Own the global content calendar and resolve competing priorities, duplication, and timing conflicts. CREATE FLAGSHIP CONTENT *       Lead original research, reports, customer-story campaigns, executive thought leadership, newsletters, event-led content, and selected video formats. *       Turn customer conversations, events, leadership insight, and proprietary evidence into distinctive content with a clear point of view. *       Design content programs that can be reused across channels, formats, regions, and buyer stages. *       Write and edit Payhawk’s most strategically important content. BUILD OUR AI-ENABLED CONTENT OPERATING SYSTEM *       Identify where AI, automation, and better process design can improve content quality, speed, and capacity. *       Build repeatable workflows for research, briefing, drafting, repurposing, localisation, review, distribution, and performance analysis. *       Create reusable prompts, templates, playbooks, quality checks, and structured knowledge sources. *       Combine AI tools, automation, and human review in ways that protect accuracy, originality, brand consistency, and trust. *       Evaluate new tools based on measurable business value. *       Train teams to use the systems and track adoption. ENABLE TEAMS TO SELF-SERVE *       Give Product Marketing, SEO, Demand Generation, and regional teams the workflows and tools they need to create product and mid-funnel content. *       Define clear ownership, handoffs, and review requirements. *       Build self-service toolkits for repeatable formats such as explainers, campaign assets, localisation, and executive social content. *       Reduce reliance on the central content team without lowering quality. LEAD THE FUNCTION *       Manage, coach, and develop a small team of content managers. *       Set clear priorities, standards, and development goals. *       Manage external writers, creators, agencies, and production partners where needed. *       Build a content model that scales through systems, expertise, and enablement rather than headcount alone. REQUIREMENTS *       7–10 years of experience in B2B content marketing, editorial, brand publishing, or a related discipline. *       Native-level English proficiency, with excellent writing, editing, and verbal communication skills. *       Experience leading a content team or function. *       Experience in SaaS, fintech, enterprise technology, financial services, or another complex B2B category. *       Experience creating content for senior business audiences. *       Evidence of building repeatable content processes and operating models, not only individual assets. *       Experience working across Brand, Product Marketing, SEO, Demand Generation, Sales, Web, Design, and regional teams. *       Strong stakeholder management and the confidence to challenge low-value requests.   AI AND AUTOMATION EXPERIENCE You should be able to show how you have used AI and automation to redesign a real content or marketing process. We are looking for: *       Advanced practical experience using large language models. *       Experience building repeatable, multi-step AI workflows. *       Strong prompt, context, and knowledge-management skills. *       Experience with no-code or low-code automation tools. *       Understanding of human review, AI quality evaluation, and governance. *       The ability to document workflows and train others to use them. *       The ability to translate content needs into requirements for technical or systems teams. Experience with APIs, agentic workflows, retrieval systems, scripting, automated claims checking, or AI evaluation frameworks is useful, but not required. Company Benefits * 30 days holiday paid leave * A week exchange policy to another Payhawk office (London, Berlin, Sofia, Amsterdam, Barcelona) * Sports card fully funded by us * Regular team-wide events * 150EUR of monthly commuting allowance Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.