{"id":4054828,"url":"https://alion.io/job/mongodb-pricing-monetization-associate-3","title":"Pricing & Monetization Associate","company":{"id":4211,"name":"MongoDB","domain":"mongodb.com","url":"https://alion.io/company/mongodb","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":87,"ghost_share":0,"stale_share":0.678,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Sales","role_family":"Sales","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":84000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-11-11T03:18:45Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T04:10:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"MongoDB is seeking a Senior Analyst on the Pricing & Monetization team to help shape how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations. \nThis position requires a driven self-starter who is able to communicate clearly and effectively with leadership and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making.\nThis role is a hybrid / in-office role, with approximately three days per week in our New York City Office.\nResponsibilities\nEvaluate and propose pricing and packaging for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs\nBuild financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions and support key product decisions\nPartner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives\nCommunicate strategic insights and recommendations to leadership\nConduct competitive benchmarking to understand market dynamics and R&D investment opportunities\nDrive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes\nCollaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translating these inputs into unit economics and pricing models\nRequirements\nBA/BS in a quantitative field\n2-5 years of experience in strategy, business operations, or financial analysis and operations, preferably as a management consultant or at a data-driven product/technology company\nProven track record of using data to drive business decisions including the ability to structure problems for analysis\nExcellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner\nAdvanced Excel and Google Slides or PowerPoint skills\nConfidence using SQL for fetching and manipulating data; experience with a scripting language such as Python is a plus\nAbility to move quickly and iterate on analyses\nComfort with ambiguity, solving complex problems, and working in a self-guided manner\nInterest in the intersection of product strategy, finance, and business operations\nSuccess Measures\nWithin 1 month, get up to speed on the analytical tools we use, the products we offer our customers, and our market and competitors\nWithin 2 months, begin partnering with cross-functional teams on initiatives that support our product pricing and packaging strategies\nWithin 3 months, scope and launch your first major business case, with input from your team and cross-functional stakeholders\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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nREQ ID: 4273616033\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, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.\nMongoDB’s base salary range for this role in the U.S. is:\n$84,000—$165,000 USD","description_format":"text","description_chars":6261,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance","Insurance coverage","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Databases & DBMS","Vector Search & RAG"],"lifecycle":[{"event":"open","at":"2026-11-11T04:10:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 130 · green card filings: 43","filings_12m":130,"filings_prev_12m":139,"green_card_filings_12m":43,"median_offered_wage_usd":163743,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":69,"reasons":["conf:1","win:early","comp:junior,brand"],"computed_at":"2026-11-11T05:37:38Z"},"pay":{"stated_usd_annual":165000,"is_top_pay":true},"html_url":"https://alion.io/job/mongodb-pricing-monetization-associate-3","json_url":"https://alion.io/job/mongodb-pricing-monetization-associate-3.json","meta":{"generated_at":"2026-11-11T05:37:38Z","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":7475,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"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-pricing-monetization-associate-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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-pricing-monetization-associate-3"},{"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-pricing-monetization-associate-3"},{"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-pricing-monetization-associate-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmongodb-pricing-monetization-associate-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4054828}},{"tool":"search_jobs","arguments":{"company":"mongodb.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4054828},"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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