
Mongodb · Cork
We're looking for a Senior Product Manager to help drive the strategic vision, product strategy, and roadmap for the AI Builders Experience Team. The AI Builder...
We're looking for a Senior Product Manager to help drive the strategic vision, product strategy, and roadmap for the AI Builders
Experience Team. The AI Builders Experience team owns how MongoDB shows up for the rapidly growing community of developers
building AI-native applications, with explicit license to explore where this space is heading. This includes our integrations with
frameworks like LangChain, Mastra, LlamaIndex and others; the patterns and reference architectures we ship for RAG, agents, and
semantic search; and the developer-facing tooling that makes MongoDB the natural choice for AI workloads. You'll also place
strategic bets on where the space is going next.
Our customer is the AI application builder, and our job is to deliver an exceptional developer experience for that audience. You
should be the kind of PM who lives in the AI builder community, continuously tracking emerging frameworks, tooling, and
development patterns, and identifying which deserve a place in MongoDB's portfolio.
You're a strong fit if you have already shipped a product or can demonstrate a side-project where developers were the customer and
AI was central to the value proposition. Examples include AI developer tooling such as framework integrations, SDKs/APIs, or
agent, evaluation, and observability products. You can walk through what you shipped, who used it, what changed for them, and the
decisions you owned along the way.
You'll collaborate closely with a globally distributed engineering team and partners across documentation, developer relations,
partnerships, and marketing. Your focus is outward: understanding and serving AI builders where they are.
We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model.
We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers, working together to
make the experience of building with data, and increasingly with AI, easy and enjoyable for developers.
We are a distributed team, stretching from our offices in Dublin and NYC to other locations in Europe, the US, and Canada. Every
now and then, we all meet in one place for project kickoffs, workshops, and team events.
the developers who used it, articulate how you moved their experience forward, and describe the strategic and technical
tradeoffs you owned along the way
RAG, agents, tool use, and evaluation; and the broader landscape of model providers, vector stores, and orchestration tools
a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments)
communities you've tracked recently, and have a defensible opinion on which matter and why
understanding of how AI applications are built, deployed, and monitored in production
development cycles) and the ability to set realistic expectations with stakeholders accordingly
developers to executive stakeholders
formulate the vision, strategy, and roadmap for your area, keeping it aligned with MongoDB's strategic priorities
make evidence-based bets on where MongoDB should invest
experience
direct customer engagement
establish credibility and weigh in on discussions shaping the space
producing sales messaging
with Python and MongoDB on GitHub, successfully triaged new issues with the engineering team, taken ownership of the existing
roadmap and product backlog, and started building relationships across the globally distributed team.
engineering team, and produced a research-backed point of view on emerging opportunities in the AI builder space that informs
the roadmap.
builders, delighted users with new and improved experiences (with metrics you've defined to measure customer success),
identified new opportunities and refined your roadmap, contributed to adjacent projects, presented to customers, and gained
strong support from your team and other stakeholders.
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the
data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data
platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy
workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed,
multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for
their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s
what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching
culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our
employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what
it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and
interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 4263289662
We're looking for a Senior Product Manager to help drive the strategic vision, product strategy, and roadmap for the AI Builders Experience Team. The AI Builders Experience team owns how MongoDB shows up for the rapidly growing community of developers building AI-native applications, with explicit license to explore where this space is heading. This includes our integrations with frameworks like LangChain, Mastra, LlamaIndex and others; the patterns and reference architectures we ship for RAG, agents, and semantic search; and the developer-facing tooling that makes MongoDB the natural choice for AI workloads. You'll also place strategic bets on where the space is going next. Our customer is the AI application builder, and our job is to deliver an exceptional developer experience for that audience. You should be the kind of PM who lives in the AI builder community, continuously tracking emerging frameworks, tooling, and development patterns, and identifying which deserve a place in MongoDB's portfolio. You're a strong fit if you have already shipped a product or can demonstrate a side-project where developers were the customer and AI was central to the value proposition. Examples include AI developer tooling such as framework integrations, SDKs/APIs, or agent, evaluation, and observability products. You can walk through what you shipped, who used it, what changed for them, and the decisions you owned along the way. You'll collaborate closely with a globally distributed engineering team and partners across documentation, developer relations, partnerships, and marketing. Your focus is outward: understanding and serving AI builders where they are. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. ABOUT THE TEAM We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers, working together to make the experience of building with data, and increasingly with AI, easy and enjoyable for developers. We are a distributed team, stretching from our offices in Dublin and NYC to other locations in Europe, the US, and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and team events. THE IDEAL CANDIDATE FOR THIS ROLE SHOULD HAVE * 5+ years of product management experience with a track record of shipping developer-facing tools, integrations, SDKs, or APIs * Hands-on experience as a PM who has owned a developer-facing AI product end to end. You can point to a specific product, name the developers who used it, articulate how you moved their experience forward, and describe the strategic and technical tradeoffs you owned along the way * Working fluency in the modern AI builder stack, including frameworks such as LangChain, Mastra, or LlamaIndex; patterns like RAG, agents, tool use, and evaluation; and the broader landscape of model providers, vector stores, and orchestration tools * Ideally have commercial/professional experience developing applications in Python (the interviews for this position may include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) * A demonstrated habit of staying ahead of a fast-moving space. You can point to specific emerging tools, techniques, or communities you've tracked recently, and have a defensible opinion on which matter and why * Familiarity with adjacent ML and Data Science concepts and tooling (e.g., Pandas, NumPy, common ML frameworks) and an understanding of how AI applications are built, deployed, and monitored in production * Comfort with the unique challenges of AI product development (model uncertainty, evaluation difficulty, longer or non-linear development cycles) and the ability to set realistic expectations with stakeholders accordingly * Ability to translate complex technical concepts into clear product direction for a wide range of audiences, from individual developers to executive stakeholders * Ability to distill customer use cases into comprehensive business cases and execute on them * A commitment to fostering an inclusive and respectful work environment in line with MongoDB's Core Values POSITION EXPECTATIONS * Explore the problem space, build connections with your customer base, interact with users in the AI builder community, and formulate the vision, strategy, and roadmap for your area, keeping it aligned with MongoDB's strategic priorities * Identify and pursue emerging opportunities in the AI builder space (new frameworks, patterns, partnerships, and use cases) and make evidence-based bets on where MongoDB should invest * Deeply understand all aspects of the business. Your job is to ensure a business outcome, not just product definition * Work closely with engineering and product marketing to design, ship, and position new capabilities of the MongoDB AI builder experience * Collect and analyze data that drives product decisions, including signals from community channels, telemetry, partnerships, and direct customer engagement * Work with thought leaders across the AI ecosystem (framework maintainers, model providers, open-source contributors) to establish credibility and weigh in on discussions shaping the space * Engage in go-to-market activities such as collaborating on marketing campaigns, running surveys, presenting at conferences, and producing sales messaging SUCCESS MEASURES * In three months, you will have onboarded onto current MongoDB technologies and tools, built and shipped a public AI application with Python and MongoDB on GitHub, successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and product backlog, and started building relationships across the globally distributed team. * In six months, you will have refined existing user stories and JIRA issues, prioritized and started executing on them with your engineering team, and produced a research-backed point of view on emerging opportunities in the AI builder space that informs the roadmap. * In nine months, you will have produced at least two General Availability releases, integrations or capabilities serving AI builders, delighted users with new and improved experiences (with metrics you've defined to measure customer success), identified new opportunities and refined your roadmap, contributed to adjacent projects, presented to customers, and gained strong support from your team and other stakeholders. ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 4263289662
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP is looking for a Senior Product Manager to lead Agent Builder, a core capability within WPP Open, our AI-powered marketing platform. This is an opportunity to shape how more than 110,000 users create, configure and deploy AI agents across one of the world's largest marketing organisations. You'll lead the future of agent creation at WPP, making it easier for teams to build, customise and scale AI-powered solutions — from intuitive no-code experiences through to advanced integrations with LLMs, workflows and external tools. We're looking for a curious, technically-minded Product Manager who is excited by AI, emerging technologies and the future of agentic workflows. Whether you've built AI products, developer tools, automation platforms or agent-based experiences, you'll be energised by the opportunity to influence how AI is created and adopted at scale. What you'll do: Reporting into the Senior Director, Product Enablement - WPP Open, your responsibilities will include: Product Strategy and Roadmap: * Define the vision, strategy and roadmap for Agent Builder. * Shape a seamless experience that helps users create and deploy AI agents with confidence. * Prioritise the capabilities that deliver the greatest value, from AI-assisted creation experiences to LLM integrations and workflow automation. * Define success metrics and use data to guide product decisions. Builder Experience and User Insight: * Understand the needs of users ranging from first-time builders to experienced developers. * Use research, analytics and user feedback to remove friction and improve the creation experience. * Lead continuous discovery, validating ideas and testing new experiences with users. Technical Partnership: * Partner with Engineering and Architecture teams to deliver scalable platform capabilities. * Explore emerging AI technologies, agent frameworks and integrations that can strengthen the platform. * Ensure governance, quality and compliance are embedded naturally within the user experience. Delivery and Collaboration: * Partner with Product Owners, Engineering and Design teams to translate strategy into impactful outcomes. * Stay close to delivery through planning, demos and launches to ensure the product vision is realised. * Help accelerate AI adoption across WPP by making it easier for teams to build and scale AI-powered solutions. What you'll need: * Experience building products within AI, platform, developer tooling, automation or workflow environments. * A good understanding of modern AI technologies, including LLMs, agent frameworks, RAG patterns and API-driven products. * Curiosity about how AI agents are designed, built and deployed. * Experience using data, experimentation and customer insight to shape product decisions. * Confidence partnering with engineers and architects to solve complex technical challenges. About WPP Data & Technology Solutions and WPP Open: WPP's Data & Technology Solutions (DTS) team brings together global technology, data and AI expertise to power the future of marketing. WPP Open is our AI-enabled marketing platform, connecting people, data, tools and intelligence in a single ecosystem to help teams work smarter, move faster and deliver better outcomes for clients. WPP Open – our agentic marketing platform | WPP We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.
ABOUT THE ROLE VTEX is looking for a Senior Product Manager to lead the future of Content Management across our Commerce Platform. This role is for product builders. We’re looking for someone who doesn’t just write specs and manage roadmaps, but someone who actively uses modern AI tools, rapid prototyping techniques, and emerging technologies to accelerate discovery, validation, and execution. As the Product Manager for CMS, you will shape how brands, marketers, developers, and AI systems create, manage, and deliver digital experiences on VTEX. You will be responsible for defining the next generation of content management capabilities, helping customers move faster from idea to production while maintaining the flexibility and performance required by enterprise commerce. You will work at the intersection of commerce, content, AI, developer experience, and user experience. Success in this role requires strong product judgment, technical curiosity, and a passion for building. We expect you to be comfortable turning ideas into working prototypes, leveraging tools like Claude Code, Spec Kit, AI coding assistants, agents, MCP-based workflows, and other emerging technologies to validate solutions. This is a role for someone who believes the future of product management is increasingly hands-on and AI-native. ABOUT THE TEAM The CMS team owns the systems that power content creation, collaboration, and delivery across storefronts. Our mission is to enable merchants to create rich, performant, and personalized digital experiences with speed and confidence. We build the experience that powers everything from landing pages and merchandising experiences to personalized content journeys and AI-assisted content operations. As commerce becomes increasingly AI-driven, the CMS team is at the forefront of defining how content, data, agents, and commerce workflows come together. Our team consists of product managers, engineers, and designers who care deeply about craft, experimentation, and customer impact. We value builders who are excited to challenge assumptions, prototype new ideas quickly, and leverage technology to create meaningful advantages for our customers. WHAT YOU WILL DO * Define and execute the product strategy and roadmap for VTEX CMS. * Identify opportunities where AI can fundamentally improve content creation, management, personalization, governance, and delivery. * Work closely with engineering and design to build best-in-class content management experiences for enterprise commerce. * Rapidly validate ideas through prototypes, proofs of concept, and experimentation. * Leverage modern AI development workflows and tools to accelerate product discovery, specification, and validation. * Partner with customers to deeply understand content operations, publishing workflows, developer needs, and business challenges. * Drive product decisions through a combination of customer insights, market research, experimentation, and data analysis. * Collaborate with platform teams to ensure CMS capabilities integrate seamlessly with storefront, search, merchandising, and commerce services. * Stay at the forefront of AI, developer tooling, content management, and digital experience trends, identifying opportunities that create durable competitive advantages. * Define clear success metrics and continuously measure product impact, adoption, and customer outcomes. * Influence product direction across multiple teams and contribute to VTEX’s broader platform strategy. WHO YOU ARE Builder First * You are passionate about building products and turning ideas into reality. * You regularly use AI tools to accelerate your work and are excited about the future of AI-native product development. * You are comfortable creating prototypes, workflows, mock implementations, or technical proofs of concept yourself. * You believe that reducing the distance between an idea and customer validation is a competitive advantage. Strong Product Thinker * You have experience leading product strategy and execution for complex software products. * You can balance long-term vision with pragmatic decision-making and fast iteration. * You understand how to identify customer problems worth solving and translate them into successful products. AI-Native Mindset * You have strong knowledge of modern AI technologies and concepts, including large language models, agents, tool calling, MCPs (Model Context Protocol), retrieval systems, AI workflows, and emerging development paradigms. * You understand both the opportunities and limitations of AI systems and can apply them thoughtfully to real customer problems. * You actively experiment with new tools and techniques to improve product outcomes. Technically Curious * You are comfortable discussing technical architecture, APIs, integrations, developer workflows, and platform capabilities. * You can effectively collaborate with engineers and make informed product tradeoffs. * Previous experience with developer platforms, content management systems, AI products, or enterprise SaaS is a strong plus. Customer Obsessed * You have a deep curiosity about how users work and what drives successful outcomes. * You seek direct customer feedback and use it to inform product decisions. * You care about solving real problems rather than simply shipping features. Exceptional Communicator * You can clearly articulate product strategy, priorities, and tradeoffs across technical and non-technical audiences. * You build alignment across engineering, design, and leadership stakeholders. * You can write concise, effective product narratives that inspire action. * You can speak and present fluently in English to drive influence Preferred Experience * Experience building CMS, developer platform, AI, productivity, or enterprise SaaS products. * Familiarity with modern AI development tools such as Claude Code, Cursor, Windsurf, GitHub Copilot, Spec Kit, or similar platforms. * Experience working in fast-paced product organizations where experimentation and iteration are core operating principles. * Knowledge of digital experience platforms, headless CMS architectures, content operations, or commerce technologies is a plus. HOW WE BUILD PRODUCT AT VTEX At VTEX, the PM role has already been reinvented. This isn't a vision — it's how we work today. PMs don't write specs for others to interpret. They bring the Vision and a product Brief. An AI agent — equipped with VTEX skills, tools, and an automatically provisioned testing environment — proposes the spec and builds a functional prototype. The PM tests it. We are operating with unprecedented speed. If you want to build at the frontier of the product profession — at unprecedented speed, with AI as your co-builder — this is the place. ---------------------------------------------------------------------------------------------------------------------------------- ABOUT VTEX VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024). Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com. At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together. BENEFITS * Annual profit-sharing program and equity eligibility; * Health, dental, and life insurance with national coverage provided by VTEX; * Annual budget for professional development in Tech; * Language development incentive program (English, Spanish, Portuguese); * Flexible meal allowance; * Extended parental leaves; * Child-care assistance; * Flexible work schedule and remote-first culture; * Financial assistance to build your work-from-home setup; * Wellness program; * Free shipping on 1000+ VTEX stores #LI-remote