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Product Manager, Data & Machine Learning Products

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MissionWired

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

81000.00 - 89000.00 USD / Year
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Job Description:

We are looking for a Product Manager to transform millions of data points into unparalleled opportunities – supporting everything from electing Democrats to combating climate change and hunger. With us, you’ll put your skills to use for disruptive innovation that powers social good. You’ll support the continued use and evolution of AdvantageAI, a lead generation co-op for nonprofits and campaigns that is outperforming other growth sources. With this and so much more, we’re just getting started. You’ll work with a team of analysts, data scientists, and data engineers in developing first-of-their-kind strategies and creating transformational new products.

Job Responsibility:

  • User & Client Impact. Build deep understanding of political and nonprofit users through research and feedback loops to translate their needs into data-informed product requirements
  • Engaging end users in the prioritization and roadmap process. You will leverage product metrics and user interactions to ensure that we identify the areas of greatest impact for clients in the product roadmap
  • Technical Product Development. Partner with data science, analytics, and data engineering to define model goals, understand modeling constraints, and translate experimentation and data-pipeline needs into clear product direction
  • Execution & Delivery. Write clear requirements for ML/data features, ensure cross-functional alignment, and monitor production model performance to drive evidence-based product decisions
  • Cross-Functional Leadership. Act as the connective tissue across DS, engineering, and go-to-market teams, communicating priorities and tradeoffs while fostering an inclusive, mission-driven culture
  • Setting the tone for inclusivity. Creating a culture of inclusion is not just the right thing to do – it will make a better product. In an inclusive environment, we generate more and better ideas, and everyone’s work benefits from a shared strategy

Requirements:

  • Strong analytical skills, including the ability to interpret data insights and drive product decisions from evidence
  • Technical communication skills: you can translate complex topics into clear, actionable product direction
  • Experience working with cross-functional teams (especially data science and engineering)
  • Strong organization, attention to detail, and ability to manage complex technical roadmaps
  • Passion, energy, and excitement for progressive and philanthropic causes and all things digital

Nice to have:

  • Direct experience building or managing products that leverage data science, analytics, or machine learning
  • Ability to partner deeply with data scientists - comfortable discussing data quality, model metrics (e.g., precision, recall, lift, drift), and experimentation
  • Bachelor’s or Graduate degree in a technical field (e.g., Computer Science, Engineering, Applied Math, Data Science) or equivalent technical experience
  • Hands-on familiarity with SQL, Python, Databricks, or analytics tools (enough to pull data, explore patterns, or read a notebook)
  • Experience supporting the ML lifecycle: from discovery to deployment to monitoring
  • Experience in political tech, nonprofit fundraising, civic tech, or a mission-driven organization
What we offer:
  • 100% employer-paid premiums for platinum-level medical plan on a national health care network
  • 100% employer-paid life insurance and short term disability
  • 50% employer-paid vision and dental insurance
  • 401(k) with 3% employer contribution
  • 17 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off
  • Paid parental leave at 100% of your salary
  • Financial support for reproductive and transgender care
  • Flexible telecommute and remote work policies
  • Company issued Mac products for home offices
  • Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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