Jobs / United States / Mongodb INC
Product Pricing & Monetization Strategy - Associate
Mongodb INC · 🇺🇸 New York City
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 93 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mongodb INC paid sponsored hires in similar roles1 certified filing for “Business Operations & Strategy Associate” (Financial and Investment Analysts) in NY: $120k–$120k, median $120k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Mongodb INC
The US Department of Labor certified 93 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mongodb INC →
About the role
MongoDB is seeking an Associate on the Pricing & Monetization team to own decisions on 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. This position requires a driven self-starter with proven experience in building data-driven business cases, communicating complex recommendations to leadership, and operating cross-functionally to solve business problems. 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. This role is a hybrid / in-office role, with approximately three days per week in our New York City Office. Responsibilities • Lead pricing and packaging strategies for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs • Own complex financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions • Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives • Communicate strategic insights and recommendations to leadership • Conduct competitive benchmarking to understand market dynamics and R&D investment opportunities • Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes • Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translating these inputs into unit economics and pricing models Requirements • BA/BS in a quantitative field, MBA preferred • 5+ years of experience in strategy, business operations, or financial analysis with 2-3 years as a management consultant or in a comparable role at a technology company • Proven track record of using data to drive business decisions including the ability to structure problems for analysis • Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner • Advanced Excel and Google Slides or PowerPoint skills • Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python is a plus • Ability to move quickly and iterate on analyses • Comfort with ambiguity, solving complex problems, and working in a self-guided manner • Interest in the intersection of product strategy, finance, and business operations 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 c