Responsibilities
- Partner with clients to assess their existing data environments, systems architecture, and fundraising processes
- Serve as a technical liaison across customer-facing and internal teams to align business needs with engineering solutions
- Design, implement, and support integrations with numerous fundraising platforms, CRMs, and related software systems
- Construct and enhance data pipelines that ingest, process, and standardize high-volume datasets
- Monitor and resolve issues throughout the data lifecycle, including ingestion, transformation, and delivery stages
- Work closely with data science and engineering teams to ensure predictive models are effectively deployed for each client
- Lead client onboarding, technical setup, and ongoing support to drive successful product adoption
- Advocate for customer requirements within engineering and leadership teams to influence product direction
Benefits
- Full coverage of a silver-level healthcare plan including medical, dental, and vision benefits
- 401k retirement plan with company match up to 5 percent
- Four weeks of paid time off annually, with additional leave available for qualifying life events
- Ten days of paid sick leave per year
- Annual professional development allowance for training, mentorship, or industry events, plus home office funding
- Paid volunteering days to support personal charitable and community initiatives
Work Arrangement
Hybrid — US remote, with team presence in SF / Bay Area, Austin, and Denver
Other
- Position is full-time and permanent
- Employees must be available for flexible hours occasionally, particularly later starts and ends, to align with teams in Sydney, Australia, due to time zone differences with US-based customers
