Product Manager, Data – Machine Learning Products
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Job Description
Product Manager seeking to transform data into opportunities for nonprofits and campaigns. Overseeing innovative solutions for impactful societal change with a focus on progressive missions.
Responsibilities:
- Build deep understanding of political and nonprofit users through research and feedback loops to translate their needs into data-informed product requirements.
- Leverage product metrics and user interactions to ensure that we identify the areas of greatest impact for clients in the product roadmap.
- 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.
- Write clear requirements for ML/data features, ensure cross-functional alignment, and monitor production model performance to drive evidence-based product decisions.
- Act as the connective tissue across DS, engineering, and go-to-market teams, communicating priorities and tradeoffs while fostering an inclusive, mission-driven culture.
- Creating a culture of inclusion by generating more and better ideas through diversity of input.
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.
- Direct experience building or managing products that leverage data science, analytics, or machine learning (nice-to-have).
- Ability to partner deeply with data scientists - comfortable discussing data quality, model metrics (e.g., precision, recall, lift, drift), and experimentation (nice-to-have).
- Bachelor’s or Graduate degree in a technical field (e.g., Computer Science, Engineering, Applied Math, Data Science) or equivalent technical experience (nice-to-have).
Benefits:
- 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
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