AI Technical Product Leader

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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

• Serve as the embedded technical partner and team lead for value stream Product Owners (e.g., Awareness to Revenue, Implementation to Renewal), providing hands-on guidance on agent design, model selection, and workflow architecture. • Help value stream POs translate business requirements into well-scoped agent specifications that the engineering team can build against reliably. • Bridge the gap between platform capability and value stream delivery ensuring POs know what the platform can support currently and in the future. • Set the technical direction for how Blackbaud builds and governs AI agents establishing standards, patterns, and guardrails that scale across value streams and teams. • As the AI Engineer/Builder function grows, serve as the lead architect and day-to-day technical lead for a team of two to three engineers focused on API and agentic architecture. • Represent the technical platform in Steering Committee discussions, PI Planning, and cross-functional forums providing the analysis that grounds platform decisions in reality. • Mentor and upskill practitioners across the Champions Network and value stream teams for AI development across the organization. • Assess new releases, capability claims, and integration options across Claude Enterprise, Copilot/Copilot Studio, Agentforce, and Watson Orchestrate. • Produce platform recommendations within days, not weeks — with a clear rationale the Director can act on and the ELT can understand. • Evaluate vendors on technical merit for each use case, with no commercial allegiance to any single platform. • Own the internal MCP server taxonomy ensuring governance standards apply. • Coordinate with the CTO's architecture team on crossover zones where internal and external platform tooling intersects. • Make architecture recommendations on when an internal workflow warrants an MCP server vs. a simpler integration. • Define design standards for operational agents and review agentic workflow designs before they reach production • Serve as the technical resource for the internal Champions Network. • Run technical office hours, review workflow designs, and flag risks before they reach production. • Prepare technical platform inputs for PI Planning highlighting what capabilities are ready for value stream adoption. • Partner with the CTO's platform architecture team on technical governance of split-ownership tools and the boundary between internal tooling and external product capability. • Track new model releases, agent frameworks, and vendor capabilities and communicate what matters to the Steering Committee. • Translate field developments into actionable platform implications for the Director and senior stakeholders.

🎯 Requirements

• 2+ years experience hands-on with LLM APIs and agent frameworks, including experience inside or alongside an enterprise AI adoption effort. • Demonstrated hands-on AI fluency, experience building prompts, working with more than one LLM API, and experience pushing AI into real workflows preferred. • Agentic workflow design experience in an enterprise context. • MCP server architecture literacy with ability to govern a taxonomy and make architecture recommendations. • Familiarity with multiple Enterprise AI platforms including Claude Enterprise, Microsoft Copilot/Copilot Studio, Salesforce AgentForce, and IBM Watson Orchestrate • Strong communication skills and able to communicate complex technical platform recommendations to non-technical and executive audiences • Experience with AI governance, responsible AI, security, and compliance considerations in an enterprise context. • Background in consulting or systems integration implementing Claude Enterprise, Copilot, or AgentForce at enterprise scale. • Passion for making complex organizations better incorporate AI into their teams, workflows, and processes.

🏖️ 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