bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesMongoDBData Product Manager, Finance

Data Product Manager, Finance

MongoDB · Austin; New York City; Palo Alto; San Francisco; United States · Active · Greenhouse

Job facts

FieldValue
CompanyMongoDB
TitleData Product Manager, Finance
Normalized title-
Department / teamData & Platform
LocationAustin, TX, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-13 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MongoDB.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Data & Platform.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMongoDB
Source88998ec6-cc1d-48ba-a390-4f081dbd8e53
ATS providerGreenhouse

Description

Who We Are The Internal Data team powers decisions and applications across MongoDB, organized around four core business areas: CustomerGTM, Product & Technology, Finance, and EmployeeHR. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, dashboards, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. Our work directly enables teams to hit their KPIs, automate workflows, and build the AI and BI capabilities that drive the business forward. 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 platform. As the company continues to grow, the scope and stakes of that work grow with it. This role is focused on our Finance domain, where data products support smarter planning, forecasting, spend efficiency, and financial performance analysis. If you want to build data products that matter at scale, this is the role for you. This role can be based out of one of our NYC, Austin, Palo Alto, or San Francisco office locations or remotely in the United States. What You'll Do In this role you will own Finance-focused data products end to end, partnering with cross-functional teams to help shape product strategy, set priorities, define requirements, and drive delivery. You will build and maintain pipelines, datasets, dashboards, APIs, and frameworks that Finance teams rely on daily for planning, forecasting, and performance analysis, while also contributing to the data management tools and services that power AI and BI across the company. A significant part of the work is understanding your stakeholders. You will spend time with Finance teams learning their workflows, translating their needs into clear requirements and user stories, and building relationships across Finance, engineering, and technical counterparts. You will keep the voice of the user central in prioritization and discovery, help shape the roadmap for Finance-focused data products, and push for the right solutions even when the ask is not fully formed. You will own your product backlog, break complex problems into well-scoped increments, manage dependencies across technical teams, and support agile delivery from sprint planning through release. You will make thoughtful tradeoff decisions across business impact, technical feasibility, and timelines, while balancing new feature delivery with long-term platform health. You will define success metrics and track adoption, usability, and business value. You will also drive adoption through documentation, onboarding, rollouts, and change management. When issues arise, you will partner with engineering and Finance teams to drive resolution and capture what can be learned for next time. What We're Looking For 3 to 5 years of product management experience with a focus on data products, platforms, analytics, or internal business systems, including at least one year at a modern, high-growth company Direct experience partnering with Finance stakeholders on planning, forecasting, or reporting workflows Solid foundation in data, analytics, and technical product management, with the ability to work effectively with engineering on technical details while staying focused on user value and business outcomes Familiarity with modern data platforms and scalable architecture concepts such as lakehouse or medallion models Experience working with sensitive financial data, including SOX-related processes, with sound judgment on balancing controls with execution speed Strong communication skills across technical and non-technical audiences, with the ability to give stakeholders clear visibility into product direction, progress, and risk Comfortable operating with guidance from senior product and data leaders while independently owning your area and driving work forward with a high degree of accountability 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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 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: $108,000 — $212,000 USD

Full job record

Job ID0e49ff17ba65098a040758119d4aa1a266751a52
Org IDe9008b6b-69b1-433e-bfca-0c10cf61e9d3
Source ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Board ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Providergreenhouse
Provider Job Key7908293
TitleData Product Manager, Finance
Normalized Title
Statusactive
Activeyes
Location TextAustin; New York City; Palo Alto; San Francisco; United States
DepartmentData & Platform
Team
Employment TypeFull-time
Workplace Type
Remote Policy
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.mongodb.com/careers/job/?gh_jid=7908293
Apply URLhttps://www.mongodb.com/careers/job/?gh_jid=7908293
First Seen At2026-05-29 22:41:08Z
Last Seen At2026-06-06 07:33:49Z
Last Checked At2026-06-06 07:33:49Z
Last Changed At2026-06-06 07:33:49Z
Inactive At
Source Posted At2026-05-13 15:55:09Z
Source Updated At2026-06-04 18:30:04Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mongodb/date=2026-06-06/2026-06-06T07-33-48-265Z-878cefdbd2d6652aa865bfb36ccc5162b6d25126bb43ee12601adf9824216fcc.json
Event Fields
{
  "content_hash": "9ff5b90eefdae0c6408288768a070d02d9f1e15047ed194d90adc88f6f5e39fd",
  "source_hash": "ffe24b45757eac26c6aa9e20c483949980308bb732af0198f5e6a075983f6aa1",
  "last_changed_at": "2026-06-06T07:33:49.055Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Austin",
    "city": "Austin",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:33:48.815Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Austin",
      "city": "Austin",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "title": "Data Product Manager, Finance",
  "offices": [
    {
      "id": 3960,
      "name": "New York City",
      "location": "New York, NY, United States",
      "child_ids": [],
      "parent_id": 23657
    }
  ],
  "language": "en",
  "location": {
    "name": "Austin; New York City; Palo Alto; San Francisco; United States"
  },
  "metadata": [
    {
      "id": 22194060,
      "name": "Position ID",
      "value": "10014338",
      "value_type": "short_text"
    },
    {
      "id": 24918,
      "name": "Department ID",
      "value": "D85022-Data & Platform",
      "value_type": "single_select"
    },
    {
      "id": 22194061,
      "name": "Team",
      "value": "T10430-Data Product & Governance",
      "value_type": "single_select"
    },
    {
      "id": 4914027,
      "name": "Region",
      "value": "North America",
      "value_type": "single_select"
    },
    {
      "id": 4137836,
      "name": "Working Model Eligibility",
      "value": [
        "2-Flexible"
      ],
      "value_type": "multi_select"
    },
    {
      "id": 4914029,
      "name": "Job Level",
      "value": "Professional - IC",
      "value_type": "single_select"
    },
    {
      "id": 24109,
      "name": "Employment Type",
      "value": "Full-time",
      "value_type": "single_select"
    },
    {
      "id": 1073551,
      "name": "Job Type",
      "value": "Standard",
      "value_type": "single_select"
    },
    {
      "id": 988684,
      "name": "JD Link",
      "value": "https://docs.google.com/document/d/16xSNIKy8w7zMna0y0l7gWsvrGQcfj0PEJWv_gKHqgiY/edit?tab=t.j4zgtixd53zc",
      "value_type": "url"
    },
    {
      "id": 5525802,
      "name": "Baseline Budgeted Salary",
      "value": {
        "unit": "USD",
        "max_value": "193000.0",
        "min_value": "135000.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 5525816,
      "name": "Other Large Market Budgeted Salary",
      "value": null,
      "value_type": "currency_range"
    },
    {
      "id": 13324394,
      "name": "Job Post Range (United States)",
      "value": {
        "unit": "USD",
        "max_value": "212000.0",
        "min_value": "108000.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 40497768,
      "name": "Job Post Range (Canada)",
      "value": {
        "unit": "USD",
        "max_value": "0.0",
        "min_value": "0.0"
      },
      "value_type": "currency_range"
    },
    {
      "id": 57694516,
      "name": "Job Post Range (Poland)",
      "value": null,
      "value_type": "currency_range"
    },
    {
      "id": 64002488,
      "name": "Job Post Range (Italy)",
      "value": null,
      "value_type": "currency_range"
    }
  ],
  "updated_at": "2026-06-04T14:30:04-04:00",
  "departments": [
    {
      "id": 289356,
      "name": "Data & Platform",
      "child_ids": [],
      "parent_id": 298006
    }
  ],
  "company_name": "MongoDB",
  "requisition_id": 3437387,
  "first_published": "2026-05-13T11:55:09-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/0e49ff17ba65098a040758119d4aa1a266751a52?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/e9008b6b-69b1-433e-bfca-0c10cf61e9d3JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/88998ec6-cc1d-48ba-a390-4f081dbd8e53JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/0e49ff17ba65098a040758119d4aa1a266751a52/eventsJSON