Product Manager, Data – Machine Learning Products
MissionWired
full-time
Posted on:
Location Type: Remote
Location: Remote • Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Illinois, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $81,000 - $89,000 per year
Job Level
Mid-LevelSenior
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismachine learningdata scienceanalyticstechnical communicationproduct managementdata pipelinemodel metricsevidence-based decision makingproduct requirements
Soft skills
analytical skillsorganizationattention to detailcross-functional collaborationcommunicationinclusivitypassion for philanthropyenergyexcitement for digital innovationability to manage complex roadmaps
Certifications
Bachelor’s degreeGraduate degree