Manager, Software Engineering - AI and Data Platform

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Offered From the posting source checked Jun 20, 2026

Verification

Not verified checked Jun 13, 2026

Salary

$134K-$174K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

32% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Manager, Software Engineering - AI and Data Platform Remote - Anywhere - USA The Engineering Manager, Data & AI Platform is responsible for leading teams that build, operate, and evolve Blackbaud's enterprise Data & AI platform-the foundation that powers analytics, data products, machine learning, and agent‑based experiences across the company. This role blends people leadership, platform ownership, and technical strategy. You will manage engineers working across modern data and AI infrastructure (Lakehouse, pipelines, feature services, ML enablement, observability, and governance), while ensuring the platform is scalable, secure, cost‑efficient, and product‑oriented. Success in this role requires strong engineering judgment, the ability to operate in ambiguity, and a passion for building platforms that accelerate teams and unlock business outcomes for the nonprofit sector. What You'll Do 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

Read the full description at blackbaud.wd1.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.