Manager, Software Engineering – AI and Data Platform

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Blackbaud

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🤝 Non-profit

🤝 B2B

💰 $6.5M Series A on 2000-02

SaaS • Non-profit • B2B

Blackbaud is a cloud software company that builds intelligent solutions for social impact, focusing on nonprofit organizations. It provides products and services for fundraising, donor management, engagement, and sector-specific cloud solutions to help charities, educational institutions, and other mission-driven organizations move faster and work smarter. Blackbaud also offers training, support, developer resources, a partner marketplace, and industry research through the Blackbaud Institute. The company emphasizes privacy, security, and corporate social responsibility.

📋 Description

• Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers. • Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design) • Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards. • Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity. • Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement). • Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization. • Establish clear roadmaps, milestones, and success metrics for platform initiatives. • Hire, mentor, and grow high‑performing platform engineers across geographies. • Provide regular feedback, coaching, and career development aligned with Blackbaud’s people strategy. • Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills. • Collaborate closely with Product, Data Science, Analytics, and Product Engineering teams to ensure the platform accelerates—not blocks—delivery. • Influence standards and best practices across the Data Intelligence COE.

🎯 Requirements

• 8+ years of experience in software, data, or platform engineering (.NET, Azure, Databricks, ADO preferred) • 3+ years of experience managing and developing data engineering teams. • Hands-on experience with modern data platforms, cloud data lakes/lakehouses, distributed processing, streaming, APIs • Strong understanding of platform engineering principles and operating production systems at scale. • Proven ability to lead through ambiguity and influence without authority.

🏖️ Benefits

• Medical, dental, and vision insurance • Remote-flexible workforce • Wellness Programs • 401(k) program with employer match • Flexible paid time off • Generous Parental Leave • Donations for Doers • Pet insurance, legal and identity protection • Tuition reimbursement program