Model Policy Manager in Ireland

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for a Customer Success Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own relationships with a portfolio of advertising partners, serving as their primary point of contact. Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. Identify opportunities to expand partnerships through increased product adoption and incremental investment. Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. Surface advertiser feedback and insights to inform product improvements and long-term strategy. Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: Have 5-10+ ye

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. Own and achieve a defined revenue target within an assigned territory or vertical. Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. Structure and negotiate complex commercial agreements. Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. Partner with

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for an experienced Ads Policy Lead who has significant subject matter expertise, strong policy development capabilities, and thrives in dynamic environments. This is a senior individual contributor role, with no people management responsibilities, reporting to our Head of Ads Policy. This hire will be primarily responsible for driving the research and development of large-scale policies that impact Reddit's global advertising platform. This critical new role will partner with colleagues and leaders across Legal, Sales, Operations,Product, Trust & Safety Policy and other departments to tackle cutting edge challenges, enable responsible business opportunities, and work on other high impact advertising policy projects that help Reddit continue to scale its business across the world. What You’ll Do: Drive the development, drafting, and maintenance of strategic advertising policies across Reddit's ads products acting as subject matter expert in the EMEA region Draft risk assessments and strategic policy recommendations for senior cross-functional leaders and executive stakeholders, representing the Ads Policy perspective with clarity and confidence. Act as a role model of Reddit’s Company Values, assisting teammates and providing guidance as a senior peer leader Serve as the decision-maker on highly complex, grey-area ads policy escalations, delivering definitive, risk-balanced rulings on high-impact issues Qualifications: 7+ years of experience in compliance, standards, or policy development and implement

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the ChatGPT Ads team is building advertising products that help businesses reach customers in useful, trusted, and responsible ways. The Ads Strategy, Planning, and Operations team is responsible for building the operating foundation for OpenAI’s advertising business: GTM systems, segmentation, coverage, planning, forecasting, business rhythms, sales programs, incentives, and scalable execution across advertisers, agencies, partners, resellers, and internal teams. This team sits at the intersection of Sales, Product, Engineering, Finance, Legal, Policy, Marketing, Partnerships, and Customer Success. About the role We’re looking for a Reseller & Ecosystem Programs Lead to build the ChatGPT Ads reseller program from the ground up and design ecosystem programs that accelerate advertiser adoption, partner productivity, and revenue growth. This role will define how OpenAI works with resellers and ecosystem partners across the Ads business: who we partner with, what motions they own, how they are enabled, how performance is measured, and how incentives should work. The ideal candidate has built reseller, channel, partner, or ecosystem programs in digital advertising, media, adtech, marketplace, or platform businesses and knows how to balance growth, control, customer experience, and platform integrity. In this role, you’ll: Design and build the ChatGPT Ads reseller program, including partner segmentation, eligibility criteria, commercial model, operating model, onboarding, governance, and performance management. Define the role of resellers and ecosystem partners across customer acquisition, activation, spend growth, market expansion, support, and scaled coverage. Develop partner coverage and engagement models across advertisers, agencies, resellers, outsourced sellers, and other ecosystem participants. Partner with Sales, Partnership

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipeli

MongoDB is seeking a Director, Web Platform & Technology to define the technology strategy, architecture, and delivery model for mongodb.com, our primary digital experience. This leader will drive the evolution of the platform as we migrate to Adobe Experience Manager (AEM), modernize our software development lifecycle, improve performance and scalability, and establish the technical foundation for personalization, experimentation, AI-enabled workflows, and product-led growth. Leading a cross-functional team of Product Managers, Web Engineers, and specialized contractors (Business Analysis, QA, Scrum Master), this role will champion AI adoption across the web development lifecycle while delivering a best-in-class developer experience and partnering closely with design, marketing, and product teams to maximize business impact. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Platform Strategy & Ownership: Define the long-term vision, architecture, roadmap, and operating model for MongoDB's web platform, aligning technology investments with marketing, growth, and business objectives AEM & Digital Experience: Lead the migration to and evolution of Adobe Experience Manager while integrating Adobe Experience Cloud capabilities to support personalization, content operations, search visibility, and scalable content delivery Engineering Excellence: Establish modern engineering practices spanning Agile delivery, CI/CD, release management, quality assurance, automation, documentation, accessibility, security, and technical governance to accelerate delivery and reduce technical debt Team Leadership: Lead globally distributed engineering teams and contractor partners, building high-performing delivery models and fostering technical excellence and accountability AI & Innovation: Identify, pilot, and operationalize AI capabilities—including generative AI, conversational experiences, workflow

Job Details: Job Description: The Role and Impact As a Sr Deep Learning Hardware Verification Engineer, you will play a pivotal role in shaping the future of AI hardware by validating and optimizing next-generation NPU silicon solutions. In this role you will join the NPU Hardware Pre-Silicon Validation team working closely with design engineers, model engineers and AI architects to validate components of the next generation NPU IP portfolio, your contributions will directly shape Intel's advancements in AI technologies. Your responsibilities will include: • Functional Verification of complex digital design block(s) on the latest generations of Intel's NPU AI accelerators. • Architect, development and implementation of verification environments from initial planning through the validation lifecycle to review and signoff. • Development of test plans and test cases. • Implementation of random test generators, high level transactional models, bus functional models (BFMs), functional/formal constraints, checkers and scoreboards, coverpoints/covergroups and SVA properties. • Implementation of software based testcases for functional and performance based testing of the NPU AI accelerators. • Collaborate with cross-functional teams to analyses and address next-generation AI requirements, influencing the AI product roadmap. Leixlip is the primary location for this position, however, we offer some flexibility to support your work/life balance arrangements. Business group The Artificial Intelligence and Deep Learning team drives innovation in AI hardware development, aligning with Intel's mission to deliver world-class solutions in the AI domain. With a focus on building state-of-the-art hardware that supports cutting-edge AI models, the team collaborates across Intel to en

We are looking for a Senior Payroll Specialist to serve as a subject matter expert on our Global Payroll team, with ownership of payroll operations across LATAM (Brazil and Mexico). Reporting to the Senior Payroll Manager, this role partners closely with HR, Finance, and external vendors to ensure accurate, compliant, and timely payroll delivery. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities: Prepare and review advance, monthly and supplemental payrolls for our LATAM operations including salary, equity, benefits, and variable pay Manage Brazil 13º salário (13th month salary), férias (vacation), and rescisão (termination) calculations and payments Manage Mexico Christmas Bonus, profit sharing and terminations calculations and payments Single point of contact (POC) for all LATAM issues. Resolve all issues in a timely manner and within global payroll SLAs Reconcile payroll and support monthly/quarterly/annual accounting close processes Build internal LATAM payroll expertise, reducing reliance on external consultants through hands-on guidance and more efficient processes Issue union due slips and submit for payment Prepare the income tax DARF and reconcile the amounts according to the appropriate period Deep, current knowledge of Brazilian labor law (CLT), social security and tax obligations, and the eSocial/FGTS Digital ecosystem Own LATAM payroll-related employee lifecycle processes, including onboarding, vacations and terminations, ensuring accurate and timely execution Partner with Legal, Finance, and HR on termination processing, CBA (Dissidio) and any other processes as required Ensure we are meeting annual compliance requirements; assist the Payroll Tax Team with any audits and year-end compliance reporting Train junior payroll staff; document and continuously improve payroll SOPs Automate processes to enhance scalability and efficiency of payroll operations Ensure SOX compliance with all pa

We are seeking a highly motivated Corporate Recruiter to join our Talent Acquisition team. This individual will bring deep sourcing capability, strong market insights, and proven recruiting experience to identify and engage top talent across roles, with a focus on People and Finance functions. The ideal candidate brings experience building talent pipelines through proactive outreach, targeted market research, and thoughtful partnership with hiring managers, while delivering a high-touch candidate and stakeholder experience throughout the recruiting process. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Key Responsibilities Manage the full recruitment lifecycle across multiple roles and business units, partnering closely with hiring managers to drive search strategy, candidate engagement, interview process management and offer execution Proactively identify and engage top talent through advanced sourcing techniques, including Boolean search, LinkedIn Recruiter, Gem, Greenhouse, referrals, and professional networking Deliver a high-touch, highly responsive candidate experience from initial outreach through offer stage, ensuring clear communication and strong follow-through Develop a clear view of talent markets, industry trends, and hiring dynamics to shape search strategy and inform hiring decisions Partner closely with hiring managers and business leaders to align on role requirements, candidate profiles, search strategy, and market trends Maintain strong data accuracy and process discipline across recruiting systems and workflows Qualifications & Skills 5+ years of recruiting experience, preferably within a high-growth technology company, Executive Search firm or recruitment consultancy Demonstrated success sourcing and engaging talent through LinkedIn Recruiter, Boolean search, CRM/ATS tools, and market research Exceptional verbal and written English communication skills, with the ability to engage ca

Role Description We are looking for a data-driven, systems-thinking Sales Operations Manager to own the operating infrastructure that powers our go-to-market engine. In this highly visible Individual Contributor role, you will serve as the backbone of a regional Sales organization and translate go-to-market strategy into an executable operating model. You will act as the primary regional business partner for sales executives , supporting all routes to market within the region. You will own or coordinate supporting sales planning, territory and quota execution, forecast interpretation, operational improvements, and translation of strategic priorities into clear execution plans . You’ll drive process clarity, pipeline health, forecasting hygiene, and cross-functional governance, using AI and automation-enabled workflows to reduce manual reporting effort while maintaining strong human judgment over business recommendations. Your top priority each day will be to ensure excellence in execution and reporting on our regional goals. Responsibilities Own the operating cadence, including territory management, account segmentation, forecasting governance, pipeline inspection, business reviews, and performance visibility, delivering executive-ready insights that drive forecast accuracy, balanced sales coverage, and operational excellence .Partner with regional Sales leaders across all routes to market to improve forecast accuracy, pipeline health, sales coverage, deal quality, and operational execution. Work in close partnership with the Chief Business Officer’s organization and the GTM Strategy & Programs team to connect regional Sales Operations to company-wide priorities, provide timely inputs for executive reporting, and ensure consistency across regional and corporate operating cadences. Lead end-to-end coverage design, including segmentation, book cutting, territory planning, account assignment, capacity planning, and quota allocation in partnership with

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You’ll Do Translate GTM questions into analytical projects Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). Design and build scalable analytics & models Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. Own core GTM analytics assets Contribute t

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 10+ years of experience building production-quality systems software with a large user base, robust design structure, and rigorous code quality Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management. Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures. Excellent verbal and written technical communication skills for communicating to a wide variety of audiences ranging from junior engineers to executive stakeholder Strong mentorship skills, and excitement about leveling up your peers and teammates through coaching, feedback, and enablement Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related

The data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development. MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure. We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week. Cool things you’ll do You’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll: Solve customer challenges across architecture, performance, recovery, and security Lead investigations from diagnosis to resolution, providing clear, actionable guidance Partner with Product Management and Engineering to advocate for customers and improve MongoDB Build tools, documentation, and training while mentoring peers and raising technical excellence What you need We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following: 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field Experience running complex, mission-critical production database systems Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS Ability

We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partn