Product Manager, MongoDB
Internal Financial Data
$108-212k
Modern data platform
Open for applications
Modern data platform
1001+ employees
Open for applications
$108-212k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 3 - 5 years of strong, technical Product Management experience, specifically managing data-as-a-product
- Direct experience partnering with Finance teams on planning, forecasting, and reporting workflows
- Deep familiarity with modern data architecture, including lakehouse and medallion models
- Strong product judgment and an outcomes-oriented mindset, with the ability to balance user needs, business priorities, technical direction, and delivery constraints while driving measurable impact and adoption
- Hands-on experience with ERPs and core finance systems, with a strong understanding of journal entries, AR/AP, and aging schedules
- Familiarity with FP&A and Workforce Planning (WFP) ecosystems
- Experience handling sensitive data and SOX compliance, with the judgment to balance risk controls with velocity
- Strong communication skills, with a track record of providing clear product visibility to both technical and non-technical stakeholders
- High autonomy, with the ability to take full ownership of workstreams once priorities are aligned
- Experience at top-tier software companies with consumption-based business models is a major plus
What the job involves
- The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee
- We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem
- We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products
- As MongoDB scales, our financial data footprint has grown exponentially
- You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting
- Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor
- Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories
- Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise
- Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes
- Ruthlessly prioritize the product backlog, breaking down massive, ambiguous data initiatives into well-scoped, high-value increments. Direct agile delivery from sprint planning through to release while aggressively managing cross-functional dependencies
- Establish and track aggressive success metrics focused on product adoption, system usability, data accuracy, and quantifiable business value
- Own the data lifecycle from deployment to adoption. Drive organizational change management, establish comprehensive technical documentation, and proactively lead incident resolution alongside engineering to continuously optimize system uptime
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organizations modernize their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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