Bloomerang

Data Engineer

• Design and ship production pipelines on Databricks, using a medallion architecture grounded in Data Vault 2.0 modeling patterns.
• Build and harden the curated and presentation layers—driving donor lifetime value, retention, lapse risk, and campaign ROI.
• Resolve identity across products to compute values on one trustworthy record.
• Move toward near-real-time data and partner with architects on Change Data Capture.
• Extend existing tracing and AI lifecycle tooling into ETL.
• Partner with AI and product engineers to ensure data is properly shaped for applications.
• Use AI tools in daily development tasks.
• Raise the bar on engineering standards, addressing testing, idempotency, documentation, and security.

Senior Data Engineer

Data Scientist

• Design and run the experimentation engine for fundraising actions.
• Build predictive and forecasting models that drive donor lifetime value and retention.
• Own model quality and evaluation for trustworthy AI products.
• Manage ML lifecycle on Databricks and MLflow including model training and performance monitoring.
• Define technical direction for data science with high standards and rigor.
• Partner daily with data engineers and AI engineers.

Lead Data Scientist

Full-stack Engineer

• Act as a driving force behind our mission to empower nonprofits
• Shape the technical direction of our SaaS platform
• Own the technical vision and direction for your domain
• Diagnose and resolve complex technical bottlenecks
• Champion Agile ceremonies and workflows
• Conduct rigorous code reviews
• Champion AI-driven development
• Serve as the technical lead, guiding the development of the team

Senior Software Engineer – Tech Lead

Product Manager

• Own Outcomes for a Customer Persona
• Stay Close to Customers
• Identify Problems Worth Solving
• Build, Prototype, and Experiment
• Deliver Outcomes, Not Features
• Operate as an AI-Native Product Manager
• Hold a High Quality Bar
• Create Clarity and Focus

Senior Product Manager

Data Analyst

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Associate Conversion Data Analyst

Account Manager

• Act as an expert on how Bloomerang’s fundraising, donor, and volunteer management solutions transform nonprofits to help them achieve their mission.
• Engage inbound inquiries and re-engage past prospects from the Bloomerang customer base, ensuring rapid follow-up and maximize conversion rates.
• Qualify/Disqualify inbound leads via phone, email and live chat, qualifying upsell prospects and scheduling meetings for Account Managers.
• Create & nurture a 90-day rolling pipeline of high-quality potential meetings from leads, using creative and strategic outreach to warm them up and convert to qualified meetings.
• Collaborate with marketing and sales, providing feedback on lead quality and helping refine messaging to improve conversion rates.
• Consistently meet (and ideally exceed) business development KPIs, including response time, lead-to-meeting conversion rate and pipeline influence rate.
• Ensure the accurate maintenance of sales data and lead tracking through Salesforce, Qualified Chat, Chilipiper and Outreach, maintaining a record of all interactions and progress to ensure a seamless handoff.

Account Manager – Business Development Representative

• Own the Platform & Integration Strategy.
• Enable Cross-Product Workflows.
• Build for Agents & Automation.
• Act as the Connector Across Product Teams.
• Operate in a Modern, AI-Assisted Product Lifecycle.

Senior Product Manager, Platform & Integrations

• Deliver against commitments with a focus on quality
• Diagnose and resolve technical issues, maintaining reliability and performance
• Actively participate in Agile ceremonies and workflows
• Engage meaningfully in code reviews
• Embrace AI-driven development using tools like Claude Code
• Collaborate with and learn from teammates, contributing to a high-quality engineering culture

Software Engineer

Platform Engineer

• AI Platform Build: Design and build end-to-end internal AI platform
• Ship the Product: Architect a unified AI workspace with easy access to tools
• Governed Intelligence: Partner with data/security stakeholders for role-based access
• Marketplace of Skills: Create an internal app store for reusable skills and agents
• Memory That Works: Architect a context system for known user activities
• Internal AI Tooling Enablement: Partner with AIOps Engineer to advance AI tool adoption
• Builder Support: Help internal builders maximize existing tools through templates/examples
• Embedded Discovery: Engage with users to identify how the platform can improve workflow and translate observations into shipped features