Manager, Software Engineering – AI and Data Platform

🕒 July 28

🇺🇸 United States – Remote

💵 $133.7k - $173.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

Where this job comes from

Posted on Blackbaud's careers page, not through a job board

First seen by Remote Rocketship July 28

Logo of Blackbaud

Blackbaud

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

• Lead teams building, operating, and evolving Blackbaud’s enterprise Data & AI platform • Own and evolve ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers • Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy • Partner with Architecture, Governance, and Security on trust, compliance, and Responsible AI standards • Balance build-versus-buy decisions and reduce operational complexity • Lead platform initiatives involving legacy modernization, cloud migration, cost optimization, and agent enablement • Ensure platform reliability through monitoring, incident management, and performance optimization • Establish roadmaps, milestones, and success metrics • Hire, mentor, and grow platform engineers across geographies • Provide feedback, coaching, and career development • Ensure team members have clear goals, active IDPs, and opportunities to develop modern Data & AI skills • Collaborate with Product, Data Science, Analytics, and Product Engineering teams • 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

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