Level

MongoDB

Product Manager, Internal Financial Data

MongoDB is hiring a Product Manager, Internal Financial Data in Austin, New York and Palo Alto, United States. It pays $106k-$209k a year and Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting mentions product management, financial planning and data pipelines among its tools and skills.
  • Level classes it as a senior role.
  • MongoDB has 382 other open roles on Level.

AI in this role

Lead product strategy for internal financial data pipelines and automated forecasting systems.

product-managementfinancial-planningdata-pipelinesagileapi

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.

We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model.

What You'll Do

  • 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

What We're Looking For

  • 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

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, 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.

Req ID: 2273437387

MongoDB’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.

MongoDB’s base salary range for this role in the U.S. is:$106,000—$209,000 USD

How we rate this

Product Manager, Internal Financial Data at MongoDB rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementFinancial PlanningData PipelinesAgileAPI

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where financial planning was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. Tell me about a project where agile was part of your work. What did you do?
  5. Tell me about a project where api was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Financial Planning, Data Pipelines, Agile, and API. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new product jobs (Uses AI ●●○○ or higher) by email

One email a week with the new product jobs (Uses AI ●●○○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Product roles that use AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at MongoDB

Related searches

Same AI level

Jobs by city