MissionWired
Resume Pool: Product and Engineering
- Location
- United States - Remote Flexibility, United States
- Work type
- Remote · Full-time
- Posted
- (2 years ago)
About the role
At MissionWired, we help nonprofit organizations and Democratic campaigns advance their revenue and cause. By unifying direct response programs – from email, direct mail, and advertising to analytics, creative, and acquisition – we’ve helped raise over $5 billion for our partners.
Our team brings tech intelligence, empathetic storytelling, and an unrivaled agility to every partnership. We proudly work alongside world-changing nonprofit clients including Human Rights Watch, Innocence Project, and the American Red Cross – as well as major Democratic committees and competitive Senate and gubernatorial races.
As an equal-opportunity employer dedicated to building and sustaining an inclusive community, we are deeply committed to equality, equity, and inclusion. Representation and diversity of thought strengthen our work with clients to change the world.
If you are passionate about powering progressive change and helping organizations amplify their impact, we’d love to hear from you!
Teams available for this resume pool:
- Engineering (Data, Software, ML)
- Data Science
- Data Analysis
- Product Management
- Project Management
- Full-Stack Web Development
- This may not be a holistic list and is subject to change as new positions are added to the data and product teams.
Successful candidates will be responsible for (varying levels of responsibility depending on your experience):
- Joining each and every one of your colleagues in creating an inclusive workspace;
- Using an array of technological languages, models, and tools;
- Working toward constantly improving data reliability and quality;
- Collaborating with cross-functional teams to support their data related needs.
Must-have qualifications:
- Attention to detail;
- Intellectual curiosity to innovate on ways to solve data management issues;
- Passion, energy, and excitement for progressive and philanthropic causes and all things digital.
Nice-to-have qualifications (depending on the role):
- Python, Pandas, PySpark, SQL, R;
- Familiarity with big data tools using AWS or other cloud services;
- A passion for statistical methodology;
- Experience with MLOps platforms like MLFlow, Sagemaker, and/or Google Cloud AI;
- Experience in coding and/or analytics;
- Experience in building data- and/or machine learning-based products;
- A background in related industry sectors.
Location
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
- 20 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