{"id":4278077,"url":"https://alion.io/job/mongodb-principal-gtm-operations-analyst","title":"Principal GTM Operations Analyst","company":{"id":4211,"name":"MongoDB","domain":"mongodb.com","url":"https://alion.io/company/mongodb","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":86,"ghost_share":0,"stale_share":0.686,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Sales","role_family":"Sales","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Salesforce","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-11-13T17:51:02Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T14:13:54Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nAs a Principal Analyst on the Applied Science team, you will set the technical direction for our GTM model portfolio and personally lead our highest-stakes programs, from framing problems with SVP-level stakeholders, through data engineering and model design, to productionalized workflows, dashboards, and executive-ready narratives that change how the field operates. This role will be based remotely Canada, and supports a global stakeholder set across regions and GTM functions.\nWhat You’ll Do\nOwn the model portfolio and roadmap for one or more domains\nSet the multi-quarter roadmap for a given GTM model portfolio domain, deciding what to build, retire, or invest in based on measured business impact\nAct as the senior analytical thought partner to GTM leadership, shaping which questions the team takes on, not just how it answers them\nTranslate GTM questions into analytical projects\nPartner 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\nStructure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders)\nDesign and build scalable analytics & models\nDevelop 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\nEngineer 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\nOwn core GTM analytics assets\nLead 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\nBuild and govern self-serve analytics assets (e.g., Sigma workbooks, curated datasets) that allow GTM stakeholders to answer their own questions safely and consistently\nMeasure and prove impact\nDesign experiments, holdouts, and causal analyses that quantify the revenue and efficiency impact of our models and GTM investments, and make that evidence the basis for investment decisions\nTurn analysis into decisions and change\nDeliver concise, executive-ready narratives (memos, scorecards, and QBR/MBR content) that highlight trade-offs and explicit recommendations, not just data and charts\nRun stakeholder working sessions to align on scenarios, validate model outcomes, and embed recommendations into operating rhythms (e.g., segmentation reviews, annual planning, forecast calls)\nAdvance our GTM data & AI foundations\nDefine how we use new GTM data sources such as call transcript modeling, workload inference, and account intelligence to unlock novel scoring and routing use cases\nSet the standards for testing, monitoring, documentation, and change management of GTM models and analytics products, in partnership with Central Analytics and GTM Tech\nMultiply the team\nMentor analysts and data scientists, review their technical work, and raise the bar for rigor across our teams\nCreate clear documentation, playbooks, and training to help other analysts and GTM stakeholders understand and safely use the models, tools, and datasets you own\nContribute to a strong culture of technical rigor, peer review, and knowledge sharing within Sales Intelligence and the broader GTM Operations community\nWhat We’re Looking For\nExperience\n~8-12+ 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)\nDemonstrated 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\nTrack record of leading multi-quarter, cross-functional analytics programs and influencing executive decisions without direct authority\nExperience setting technical direction or standards for a team or a portfolio of production models\nExperience working directly with senior commercial stakeholders (e.g., Sales/GTM leaders) and turning analysis into concrete decisions and measurable business impact\nTechnical Skills\nAdvanced SQL and strong Python (or equivalent) for data wrangling, feature engineering, and statistical / ML modeling\nComfort working with large, messy datasets spanning CRM (Salesforce), product usage, and marketing/sales engagement tools\nExperience with at least one modern BI / analytics environment (e.g., Sigma, Looker, Tableau) and building self-serve, governed assets for business users\nSolid grounding in statistical thinking (sampling, backtesting, lift/impact measurement) and model validation practices\nExperimentation and causal inference (e.g., A/B and holdout design, difference-in-differences, regression discontinuity)\nExperience with forecasting and time-series models\nProblem-Solving & Communication\nAbility to decompose ambiguous business questions into structured analytical plans, with clear assumptions, risks, and trade-offs\nStrong written and verbal communication: you can explain complex models and data decisions in simple, GTM-friendly language and build trust with non-technical stakeholders\nBias toward action and ownership: you are comfortable making recommendations under uncertainty and iterating as new data arrives\nNice to Have\nPrior experience in Sales Operations / Revenue Operations or GTM Strategy at a high-growth SaaS company\nExperience with commercial applications of NLP / LLMs (e.g., call transcript analytics, opportunity notes analysis)\nFamiliarity with MongoDB’s ecosystem (Atlas, GTM motions, sales process) or similar modern cloud data platforms\nExperience contributing to cross-functional programs such as Customer 360, self-serve analytics initiatives, or GTM data/metrics standardization\nAbout MongoDB\nMongoDB 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.\nWith offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.\nOur 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. \nTo 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!\nMongoDB 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.\nMongoDB is an equal opportunities employer.\nReq ID: 2273430764\nAI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.\nMongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.\nMongoDB’s base salary range for this role in Canada is:\n$104,000—$144,000 CAD","description_format":"text","description_chars":9373,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Retirement plans"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Databases & DBMS","Vector Search & RAG"],"lifecycle":[{"event":"open","at":"2026-11-13T19:36:30Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":69,"reasons":["seen:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/mongodb-principal-gtm-operations-analyst","json_url":"https://alion.io/job/mongodb-principal-gtm-operations-analyst.json","meta":{"generated_at":"2026-11-14T17:02:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19567,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4211},"rest":"https://alion.io/mcp/rest/get_company?id=4211"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmongodb-principal-gtm-operations-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmongodb-principal-gtm-operations-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmongodb-principal-gtm-operations-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mongodb-principal-gtm-operations-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmongodb-principal-gtm-operations-analyst"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4278077}},{"tool":"search_jobs","arguments":{"company":"mongodb.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4278077},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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