Amara1

Amara1

Annual Giving Officer

Seattle, WA, United States

Sponsorship not specified$35k-$42kDetected 76 days ago
ExpressCustomer SupportResearchCommunicationMicrosoft Office

About the role

  • Amara serves the evolving needs of children, youth, and families impacted by the child welfare system.
  • Centering equity, we advocate for systems change and bridge gaps by providing compassionate wrap-around resources, while helping to reduce trauma and bring healing.
  • The Annual Giving Officer is responsible for campaign management and cultivating relationships with existing gift donors and identifying new donor prospects.

Requirements

  • The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • A successful track record of achieving, or assisting in achieving, tangible fundraising outcomes and the ability to respond effectively to changing fundraising priorities
  • Ability to work some evening and weekend hours as needed for events and meetings
  • Ability to travel and transport oneself to external meetings and vendor visits
  • Commitment to and ability to represent Amara's mission and values and promoting social justice

Nice to have

  • Strong computer skills, including proficiency with Microsoft Office Suite and experience working with financial systems and donor databases
  • Donor Dock experience is a plus

Compensation

  • This is a 40 hour per week position with a rate of pay between $34.66-$42.09 hourly ($72,100-$87,548.97 annually), depending on experience.

Benefits

  • Amara offers a generous leave and benefits package including 10 company holidays, 4 personal days, paid sick leave, a paid holiday closure at years end and 15 days of vacation per year.
  • Competitive health, dental and vision insurance rates, 401k with a company match, life, disability insurance and a paid sabbatical.

Equal opportunity

  • Amara is an Equal Opportunity Employer.
  • Equal Opportunity Employer.

This listing is sourced directly from Amara1's careers page and normalized into a canonical job model.