Marketing Operations Manager

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 to flagship programs such as Forecasting 3.0 / Atlas Forecasting Calculator, Customer 360 Revamp, GTM Metrics 3.0, and territory optimization initiatives, ensuring they are statistically sound, explainable, and operationally durable. * Build and govern self-serve analytics assets (e.g., Sigma workbooks, curated datasets) that allow GTM stakeholders to answer their own questions safely and consistently. * Turn analysis into decisions and change * Deliver concise, executive‑ready narratives (memos, scorecards, and QBR/MBR content) that highlight trade‑offs and explicit recommendations, not just data and charts. * Run stakeholder working sessions to align on scenarios, validate model outcomes, and embed recommendations into operating rhythms (e.g., segmentation reviews, annual planning, forecast calls). * Advance our GTM data & AI foundations * Help shape and exploit new GTM data sources such as call transcript modeling, workload inference, and account intelligence to unlock novel scoring and routing use cases. * Partner with Central Analytics and GTM Tech on best practices for testing, monitoring, documentation, and change management for GTM models and analytics products. * Coach, document, and uplevel the org * Create clear documentation, playbooks, and training to help other analysts and GTM stakeholders understand and safely use the models, tools, and datasets you own. * Contribute to a strong culture of technical rigor, peer review, and knowledge sharing within Sales Intelligence and the broader GTM Operations community. WHAT WE’RE LOOKING FOR Experience * ~4–7+ years in analytics, sales operations, data science, or strategy/consulting roles supporting B2B or SaaS go‑to‑market teams (or equivalent high‑impact analytical experience). * Demonstrated track record owning complex analytics projects end‑to‑end (from scoping through production deployment and stakeholder adoption), ideally in forecasting, segmentation/territory design, or account/deal scoring domains. * Experience working directly with senior commercial stakeholders (e.g., Sales/GTM leaders) and turning analysis into concrete decisions and measurable business impact. Technical Skills * Advanced SQL and strong Python (or equivalent) for data wrangling, feature engineering, and statistical / ML modeling. * Comfort working with large, messy datasets spanning CRM (Salesforce), product usage, and marketing/sales engagement tools. * Experience with at least one modern BI / analytics environment (e.g., Sigma, Looker, Tableau) and building self‑serve, governed assets for business users. * Solid grounding in statistical thinking (sampling, backtesting, lift/impact measurement) and model validation practices. Problem‑Solving & Communication * Ability to decompose ambiguous business questions into structured analytical plans, with clear assumptions, risks, and trade‑offs. * Strong written and verbal communication: you can explain complex models and data decisions in simple, GTM‑friendly language and build trust with non‑technical stakeholders. * Bias toward action and ownership: you are comfortable making recommendations under uncertainty and iterating as new data arrives. NICE TO HAVE * Prior experience in Sales Operations / Revenue Operations or GTM Strategy at a high‑growth SaaS company. * Experience with forecasting and timeseries models, or commercial applications of NLP / LLMs (e.g., call transcript analytics, opportunity notes analysis). * Familiarity with MongoDB’s ecosystem (Atlas, GTM motions, sales process) or similar modern cloud data platforms. * Experience contributing to cross‑functional programs such as Customer 360, self‑serve analytics initiatives, or GTM data/metrics standardization. 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: 2273430764

Location: London Weekly office requirement: Hybrid, 2 days/week Employment type: Permanent AS OUR MARKETING OPERATIONS MANAGER YOU’LL: Run the engine behind our go-to-market, and build it as you go. You’ll own our marketing tech stack and the automations that connect it. Data flows cleanly between systems, leads move fast and land in the right place, and every campaign is measurable. You keep the machine running today, and you’re trusted to push it forward tomorrow: building the agents and AI-powered workflows, many of them running on Claude, that give our GTM teams an edge. This role carries real leverage. It’s central to our FY27 goal of accelerating GTM execution through smarter operations. You’ll keep our systems trustworthy, automate the manual work, and speed leads through the funnel, which frees the wider team to chase the bigger strategic bets. You’ll report to the Marketing Operations Director, collaborating deeply with Revenue Operations and Sales Operations on GTM optimisation, and work across Marketing, Revenue, and Product, right at the heart of how GWI turns human insight into pipeline.   WHAT YOU'LL BE DOING * Build AI-powered GTM automation and agents. Turn manual work into systems that scale. You’ll automate enrichment, routing, the value-proposition engine and creative enablement using Clay, Zapier, Claude and our wider AI stack. This is where you push the edges: prototyping agentic workflows and showing the wider GTM teams what’s now possible. * Speed up lead velocity and routing. Sharpen our scoring models and tune routing in LeanData. Build AI-powered routing checks so there are fewer errors, faster progression, and sales time spent only on the leads worth chasing. * Make attribution self-serve. Run Dreamdata to deliver account-level funnel and multi-touch, allbound attribution the whole business can use. You’ll also own the pipeline reporting that leadership and the board rely on. * Operationalize account signals and market intent. Capture and wire up buyer and account signals from across the stack, from website behavior and product usage to third-party intent, so they flow into scoring, routing and rep alerts. Turn raw intent into something the team can act on the moment an account heats up. * Own the HubSpot and Salesforce integration. Keep our two systems of record in sync: lifecycle stages, lead status, sync errors, field audits, and clean dedupe and deletion. Everything downstream depends on getting this right. * Automate campaigns and events. Set up campaigns and the automations behind them in HubSpot and Salesforce. Run tools like Qualified and Goldcast, and own the reporting setup for the moments that matter. * Power new product launches. Provide the operational backbone for coordinated launches: enablement, campaign activation, and the measurement that ties releases to pipeline and adoption. * Run and govern the stack. Handle day-to-day admin across HubSpot, Salesforce, Clay, Zapier, LeanData, Qualified, Goldcast and Dreamdata. Manage access and seats, support renewals, and keep everything compliant and documented. * Be the team’s go-to for ops. Own the marketing operations triage queue, the one reliable place for system, campaign and data requests from across Marketing, Revenue and RevOps. * Document how it all works. Keep SOPs and process docs in Notion so systems and automations stay transparent, repeatable and resilient.   What do I need to bring with me? You’re a hybrid: part commercial thinker, part builder. You’ve probably come from marketing ops, sales ops or RevOps. You treat GTM like a design problem, mapping the journey and building systems that scale rather than just wiring tools together. You think about ROI, and you always ask whether a workflow actually helps someone close a deal. You know your way around a modern martech stack, and you go deep on HubSpot in particular. You’re fluent in building workflows, managing lifecycle stages and properties, configuring lead scoring, and keeping data clean at scale. Beyond the CRM, you’ve worked across the tool types this role touches: marketing automation platforms (HubSpot, Marketo, Pardot), lead routing (LeanData), enrichment and data tooling (Clay, Clearbit, ZoomInfo), attribution (Dreamdata, Bizible), conversational and booking tools (Qualified, Drift), and workflow automation (Zapier, n8n). You won’t have used every one, but you recognize the categories and you pick new platforms up fast. Most of all, you’re curious and resourceful. You learn new tools by getting your hands dirty. A fast-moving landscape excites you rather than fazing you, and you turn messy, open-ended problems into something structured and testable. You already build with AI, not just chat with it: chaining prompts, wiring up agents, and automating tasks that used to eat someone’s afternoon. Hands-on experience with an LLM like Claude, ChatGPT or Gemini is a real plus.   Bonus points for: * Built agentic workflows or AI automations that drove a real GTM outcome * Deep HubSpot experience, ideally with admin-level configuration or certification * Hands-on with Clay and workflow tools like Zapier or n8n * Experience with attribution tooling like Dreamdata * Time around a sales motion, enough to understand pipeline velocity and where automation helps versus hurts   WHAT WE OFFER 🧘 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: * Time to recharge – 25 days’ annual leave, plus office closures over the holidays. * Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. * Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. * Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. * Career growth – Accredited learning, leadership development, and global career mobility. * Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving. Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.   DIVERSITY, EQUITY & INCLUSION 🫶 Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We're happy to discuss whatever would work best for you. We actively encourage applications from underrepresented and marginalised communities. At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully.   #li-hybrid #LI-