We're MissionWired, and we develop effective and innovative digital strategies that help our partners change the world.

Product Manager, Data – Machine Learning Products

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200H1B No SponsorCompany Site LinkedIn

Location

Arizona + 24 more

Posted

76 days ago

Salary

$81K - $89K / year

Bachelor DegreeEnglish

Job Description

• 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.

Job 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