
Blackbaud
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Role Description The Senior Program Manager, AI Literacy & Enablement will be responsible for executing the design, implementation, and continuous evolution of Blackbaud’s enterprise-wide AI Literacy program. This role is pivotal in driving responsible AI adoption and proficiency across all functional areas, empowering teams to leverage AI tools effectively and ethically. You will serve as a thought leader and change agent, integrating AI governance, instructional design, and stakeholder engagement to foster a culture of innovation and responsible AI use. - Define and execute the AI Literacy roadmap, and success metrics aligned with Blackbaud’s enterprise AI goals. - Establish proficiency frameworks tailored to diverse audiences (e.g., product teams, customer success, leadership, and technical staff). - Build and scale engagement initiatives including internal communications, adoption campaigns, role-specific playbooks, and a network of AI Champions. - Design and deliver multi-modal learning experiences (e.g., workshops, e-learning, simulations, office hours) that embed Responsible AI principles. - Collaborate with Legal, Compliance, and Governance to operationalize Responsible AI standards, including acceptable use, data handling, and risk mitigation. - Ensure all training and enablement materials reflect current governance policies and ethical AI practices. - Partner with Learning & Development, Product Management, Engineering, and Knowledge Management to align AI enablement with platform capabilities and business needs. - Coordinate with Marketing and Communications in alignment to the AI Certification for Social Impact and to develop client-facing materials and represent Blackbaud’s AI Literacy efforts externally. - Define and track adoption, engagement, and proficiency metrics; use insights to iterate and improve program effectiveness. - Support certification pathways and continuing education initiatives, where applicable. - Represent Blackbaud’s AI Literacy program at industry events, client engagements, and public forums. - Stay abreast of emerging trends in generative AI, legal tech, and AI regulation; translate insights into actionable updates for internal stakeholders. Qualifications - 8+ years of proven L&D experience leading enterprise-wide learning or enablement programs, ideally in AI, data, or technology domains. - Deep understanding of responsible AI principles, governance frameworks, and change management best practices. - Exceptional communication and executive presence; comfortable presenting to senior leadership and external audiences. - Strong collaboration skills with cross-functional teams including Legal, Compliance, Engineering, and L&D. - Experience designing and delivering scalable learning programs using modern instructional design methodologies. 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
Role Description We are looking for a dynamic, high-performing Senior Sales Manager to join our high performing Nonprofit Vertical team. This position will lead a team of Account Executives to achieve growth targets including building new pipeline for our high growth Customer Team within the Nonprofit Vertical. The successful candidate will be responsible for developing new and strengthening existing relationships with Executives and Senior Leaders at Nonprofit accounts. This position reports to the Director of Sales for the Nonprofit Vertical. The ideal candidate will have experience leading a team of seasoned Account Executives and will have a proven track record for delivering results in commercial accounts. - Leading a team of Account Executives to achieve quarterly/annual bookings and revenue targets - Coaching and measuring key activity metrics, adherence to sales process and the sales leadership framework component - Attracting and retaining an all-star team, including recruiting, hiring, coaching, and training - Establishing C-level relationships with strategic customers via proactive customer networking and development - Monitoring market trends and key events within Nonprofit Vertical; providing periodic updates to executive team - Assisting in territory planning for accounts by working with Account Executives and customers to understand their challenges and identifying opportunities - Assisting sales team with closing transactions with multiple decision makers - Utilizing Sales Team and Customer feedback, in addition to bookings, pipeline and account data to diagnose business strengths and weaknesses, implement change and allocate resources appropriately Qualifications - 5+ years software or SaaS sales experience with a focus on consultative solutions selling - 1+ years sales management experience in a rapidly growing and fast-paced environment - Proven history of leading teams to achieve quotas and objectives within a commercial environment - Excellent coaching skills and sales methodology knowledge allowing you and your team to skillfully negotiate wins internally and externally while maintaining strong relationships - Fostering a positive attitude, the ability to stay flexible in a fast-paced, changing environment and the enthusiasm required to maintain long-term customer relationships - Nonprofit industry experience a plus 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
• Build and run change management plans internally for new AI capabilities, including assessing who's affected, planning how to engage them, shaping communications, and setting clear milestones to confirm teams are ready. • Create simple, practical support materials (job aids, guides, quick-reference resources, etc) that help teams use new AI enabled workflows effectively. • Partner with product owners, AI engineers, functional leaders, and frontline teams to understand what is changing and what people need to be ready for change. • Apply structured change, communication and training methodologies to all programs. • Consult and coach partner enablement teams through communication and education efforts. • Engage and recruit leaders as “change champions” to help build a network of employees who can model and support adoption with their peers. • Identify risks, resistance, confusion, or readiness gaps early and help create practical plans to address them. • Define and track adoption metrics that show whether teams are truly changing how they work, not just whether they have access to a tool. • Share what you learn with the wider Change Management team so our approach keeps improving across business areas.
• Lead the maturation of Blackbaud’s Insider Threat detection program toward an AI-augmented capability, including administration, tuning, and optimization of Insider Threat tools, UEBA platforms, and the AI/ML models underneath them • Perform intrusion and insider risk analysis using SIEM technology, UEBA behavioral analytics, AI-generated insights, reports, data visualization, log analysis, and pattern analysis, applying human judgment to validate AI findings and separate true signal from noise • Direct AI-driven hunting tools and agents to identify threat actor groups (external and insider) and their respective tactics, techniques, and procedures, personally leading the investigation of cases that require nuanced human judgment • Serve as the human escalation point and first responder for security events that AI and automated tooling flag but cannot fully resolve, via email, phone, and tickets across corporate user networks, data centers, and cloud environments • Own remediation of information security incidents, including insider threat investigations, ensuring AI-assisted findings are verified and contextualized before action is taken • Document and communicate findings, escalate critical incidents, and interact with lines of business, HR, Legal, and other stakeholders on sensitive insider matters, exercising the discretion and judgment that AI systems cannot provide • Design and build AI-driven and SOAR-based automated workflows within Detection Engineering, defining the guardrails, escalation thresholds, and human checkpoints that keep automation safe, effective, and improve analyst performance • Champion responsible use of AI-driven analysis and automation to enhance detection accuracy and accelerate triage, while evaluating model accuracy, bias, and drift to keep detection logic explainable and trustworthy • Document automation and AI model deployment processes, to include defining pre-build requirements, validation criteria, and human review checkpoints for high-risk decisions • Utilize AI and automation to build metrics and dashboards supporting the Insider Threat and broader detection program, applying human interpretation to translate outputs into decisions leadership can act on • Serve as a thought leader on the evolving division of labor between AI and human analysts – determining which decisions should be automated, which require human review, and how that boundary should shift as the program matures – as well as on new alert content, data correlation, and anomaly thresholds • Improve and challenge existing processes and procedures in a very agile and fast-paced cyber security environment • Keep current on the threat landscape, insider risk trends, cyber security developments, and emerging AI/ML techniques relevant to detection engineering • Adapt to fluid infrastructures, and evaluate, pilot, and integrate new AI-enabled technologies and platforms • Act as peer reviewer and technical escalation point within the core security engineering team, including reviewing AI-assisted detection logic and automation before deployment • Advise and inform leadership on how to optimize the current toolset and evaluate future tools, including UEBA, SOAR, and AI-enabled analysis platforms, recommending where automation should expand and where human oversight must remain
Role Description Blackbaud is seeking an AI Adoption Specialist to join our Enterprise Technology Group's Change Management team. In this role, you will help employees successfully adopt AI-powered tools, workflows, and ways of working across a designated business area. You will partner with product managers, AI engineers, business leaders, and frontline employees to ensure new AI capabilities are understood, embraced, and effectively incorporated into daily work. Using proven change management practices, you will assess impacts, prepare leaders, create employee communications and training resources, and measure adoption outcomes. What you'll be doing: - Build and run change management plans internally for new AI capabilities, including assessing who's affected, planning how to engage them, shaping communications, and setting clear milestones to confirm teams are ready. - Create simple, practical support materials (job aids, guides, quick-reference resources, etc.) that help teams use new AI enabled workflows effectively. - Partner with product owners, AI engineers, functional leaders, and frontline teams to understand what is changing and what people need to be ready for change. - Apply structured change, communication and training methodologies to all programs. - Consult and coach partner enablement teams through communication and education efforts. - Engage and recruit leaders as “change champions” to help build a network of employees who can model and support adoption with their peers. - Identify risks, resistance, confusion, or readiness gaps early and help create practical plans to address them. - Define and track adoption metrics that show whether teams are truly changing how they work, not just whether they have access to a tool. - Share what you learn with the wider Change Management team so our approach keeps improving across business areas. Qualifications - 5+ years of experience in change management, organizational change, communications, training, employee enablement, or a related field. - Experience supporting enterprise technology, digital transformation, software implementation, or process improvement initiatives. - Demonstrated ability to assess organizational impacts, develop change strategies, engage stakeholders, and drive behavior change. - Strong written and verbal communication skills, including experience creating communications, training materials, and executive presentations. - Experience influencing stakeholders and building alignment across teams without direct authority. - Ability to work effectively with technical and business teams and translate complex concepts into clear, actionable guidance. - Familiarity with generative AI, Agentic AI, and AI-assisted tools, including an understanding of responsible AI practices and employee adoption challenges. - Comfortable working in fast-paced environments where priorities and delivery plans can evolve. - Prosci, CCMP, or other change management certification preferred. 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
Role Description We are looking for a savvy, high-performing Principal AI Threat Detection Engineer – Insider Threat to lead the strategy, design, and day-to-day management of Blackbaud’s Insider Threat program as it matures into an AI-augmented capability, protecting Blackbaud’s and our clients’ information. As a technical leader within Security Engineering, this individual will direct AI-driven and agentic tooling to investigate anomalous events and alerts, detect malicious and anomalous insider activity, and reverse engineer malware, while personally applying the contextual judgment, escalation authority, and accountability that AI cannot provide on its own. The Principal AI Threat Detection Engineer serves as the subject matter expert for Insider Threat tooling, User and Entity Behavior Analytics (UEBA), Security Orchestration Automation and Response (SOAR) platforms, and the AI/ML models underpinning them, validating model outputs, tuning detection logic, and partnering with leadership to report on the business impact of theft, destruction, alteration, or denial of access to information. As the program shifts more first-pass analysis to AI, this role increasingly focuses human effort where it matters most: resolving ambiguous or high-stakes cases, overseeing AI-assisted decisions, and troubleshooting complex threats that impact the information security infrastructure at the data, application, service, operating system, and network levels. Qualifications - 8+ years of Security Engineering and Analysis experience, preferably in Threat Detection and Response, including demonstrated experience supporting Insider Threat programs - 5+ years of IT or networking experience - Hands-on experience administering, tuning, and optimizing Insider Threat detection tools, User and Entity Behavior Analytics (UEBA) platforms, and the AI/ML models that power them - Experience with SOAR tools and playbook development, including explicit expertise applying AI-driven and agentic automation to security operations and critically evaluating AI-generated findings for accuracy - Experience with security metrics and reporting, preferably including automating recurring metrics and reporting processes - Demonstrated ability to critically evaluate AI/ML model outputs - Intermediate to Advanced Linux/Unix OS and Windows knowledge - Firewall rule and policy, and network routing fundamentals - Ability to manage parallel tasks and accurately document resolutions - Proven ability to implement automation through scripting (e.g., PowerShell, PERL, Python, Bash scripting), including integrating AI/ML APIs or agentic frameworks into detection workflows - Experience leveraging APIs to integrate third-party tooling into an existing tool stack - Familiarity with cyber security frameworks such as NIST and MITRE ATT&CK, and awareness of emerging AI governance and security frameworks (e.g., NIST AI RMF, MITRE ATLAS) - Industry-recognized professional certification such as Security+, CBROPS, CSA, CEH, GSEC, SSCP Requirements - Lead the maturation of Blackbaud’s Insider Threat detection program toward an AI-augmented capability, including administration, tuning, and optimization of Insider Threat tools, UEBA platforms, and the AI/ML models underneath them - Perform intrusion and insider risk analysis using SIEM technology, UEBA behavioral analytics, AI-generated insights, reports, data visualization, log analysis, and pattern analysis, applying human judgment to validate AI findings and separate true signal from noise - Direct AI-driven hunting tools and agents to identify threat actor groups (external and insider) and their respective tactics, techniques, and procedures, personally leading the investigation of cases that require nuanced human judgment - Serve as the human escalation point and first responder for security events that AI and automated tooling flag but cannot fully resolve, via email, phone, and tickets across corporate user networks, data centers, and cloud environments - Own remediation of information security incidents, including insider threat investigations, ensuring AI-assisted findings are verified and contextualized before action is taken - Document and communicate findings, escalate critical incidents, and interact with lines of business, HR, Legal, and other stakeholders on sensitive insider matters, exercising the discretion and judgment that AI systems cannot provide - Design and build AI-driven and SOAR-based automated workflows within Detection Engineering, defining the guardrails, escalation thresholds, and human checkpoints that keep automation safe, effective, and improve analyst performance - Champion responsible use of AI-driven analysis and automation to enhance detection accuracy and accelerate triage, while evaluating model accuracy, bias, and drift to keep detection logic explainable and trustworthy - Document automation and AI model deployment processes, to include defining pre-build requirements, validation criteria, and human review checkpoints for high-risk decisions - Utilize AI and automation to build metrics and dashboards supporting the Insider Threat and broader detection program, applying human interpretation to translate outputs into decisions leadership can act on - Serve as a thought leader on the evolving division of labor between AI and human analysts – determining which decisions should be automated, which require human review, and how that boundary should shift as the program matures – as well as on new alert content, data correlation, and anomaly thresholds - Improve and challenge existing processes and procedures in a very agile and fast-paced cyber security environment - Keep current on the threat landscape, insider risk trends, cyber security developments, and emerging AI/ML techniques relevant to detection engineering - Adapt to fluid infrastructures, and evaluate, pilot, and integrate new AI-enabled technologies and platforms - Act as peer reviewer and technical escalation point within the core security engineering team, including reviewing AI-assisted detection logic and automation before deployment - Advise and inform leadership on how to optimize the current toolset and evaluate future tools, including UEBA, SOAR, and AI-enabled analysis platforms, recommending where automation should expand and where human oversight must remain 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
• Lead, mentor, and develop a team of Implementation Consultants and Project Managers, driving accountability, collaboration, and high performance. • Provide ongoing coaching, performance feedback, and development opportunities focused on consulting, project management, customer engagement, and solution expertise. • Coach team members on the effective and responsible use of AI-powered tools to improve productivity, knowledge sharing, problem-solving, and service delivery. • Ensure successful deployment of Blackbaud Corporate Impact solutions through consistent execution of implementation methodologies and best practices. • Drive timely project completion, customer readiness, solution adoption, and successful go-live outcomes. • Monitor project health, implementation quality, customer satisfaction, resource utilization, and delivery metrics. • Act as an escalation point for complex projects, customer concerns, and implementation challenges. • Partner with Customer Success Managers to ensure a seamless transition from implementation to ongoing adoption and account management. • Support strategic initiatives that improve implementation quality, accelerate time-to-value, and increase customer outcomes. • Develop and refine implementation processes, standards, tools, and methodologies to improve scalability, consistency, and efficiency. • Leverage AI-powered tools, automation, and emerging technologies to enhance implementation delivery, reduce administrative overhead, improve reporting, and optimize team productivity. • Analyze key performance indicators including implementation timelines, customer satisfaction, adoption, utilization, and project quality to drive continuous improvement. • Champion a culture of innovation by encouraging experimentation and adoption of new technologies that improve customer and team outcomes. • Partner with Sales, Solution Engineering, and Customer Success teams to support project scoping, implementation planning, and customer onboarding. • Collaborate with Product and Engineering teams to provide implementation feedback, client insights, and recommendations for product enhancements.
• Managing sales activities to exceed assigned revenue objectives. • Providing tactical and strategic plans with specific measurable time frames to penetrate an account. • Collaborate with Client Success Managers (i.e. Account Managers) to generate additional revenue from existing client base. • Following up on leads, completing RFP's etc) into accounts to establish additional relationships. • Executing on the plan to position Blackbaud as solution of choice. • Becoming a 'trusted business advisor' and establish Executive relationships at senior levels within client accounts. • Differentiating Blackbaud's solution by positioning professional services. • Provide and or coordinate appropriate resources such as online demonstrations and proposals when needed to educate clients and advance sales cycles. • Working closely with professional services to present a total solution. • Build and maintain an accurate pipeline and timely sales forecasts to management. • Identifying internal teams, providing direction and leadership in each sales engagement. • Develop a deep understanding of customer industry trends.
• Manage a team of countermeasures engineers and analysts, measure team performance, and create staff development opportunities as the function scales. • Serve as the subject matter expert (SME) for cyber countermeasures, detection engineering, including network, email, and endpoint security. • Develop and optimize detection engineering use cases, correlation rules, and behavioral analytics across SIEM, EDR, SOAR, and cloud platforms. • Collaborate with Security Operations, Incident Response, and Vulnerability Management teams to ensure countermeasures are actionable, tested, and continuously improved. • Represent the team in meetings with other teams and departments to drive projects and priorities toward completion. • Act as a technical escalation point during major incidents where adversary countermeasures must be deployed in real time. • Monitor industry research, emerging threats, and evolving attacker techniques to keep defenses ahead of adversary capabilities. • Provide input to executive leadership on countermeasure effectiveness, defensive gaps, and future-state strategy.
Role Description The Implementation Manager is responsible for leading a team of Implementation Consultants and Project Managers focused on delivering successful client implementations, accelerating time-to-value, driving solution adoption, and ensuring long-term customer success. This role combines people leadership, operational management, project oversight, and process improvement to ensure implementations are executed consistently, efficiently, and in alignment with client expectations. As a leader within Professional Services, the Implementation Manager serves as a coach, mentor, and escalation point while partnering closely with Customer Success, Product, Sales, and Support teams to continuously improve implementation outcomes, operational excellence, and customer satisfaction. Responsibilities - Team Leadership & Development - Lead, mentor, and develop a team of Implementation Consultants and Project Managers, driving accountability, collaboration, and high performance. - Provide ongoing coaching, performance feedback, and development opportunities focused on consulting, project management, customer engagement, and solution expertise. - Coach team members on the effective and responsible use of AI-powered tools to improve productivity, knowledge sharing, problem-solving, and service delivery. - Implementation Delivery & Customer Success - Ensure successful deployment of Blackbaud Corporate Impact solutions through consistent execution of implementation methodologies and best practices. - Drive timely project completion, customer readiness, solution adoption, and successful go-live outcomes. - Monitor project health, implementation quality, customer satisfaction, resource utilization, and delivery metrics. - Act as an escalation point for complex projects, customer concerns, and implementation challenges. - Partner with Customer Success Managers to ensure a seamless transition from implementation to ongoing adoption and account management. - Support strategic initiatives that improve implementation quality, accelerate time-to-value, and increase customer outcomes. - Operational Excellence & Innovation - Develop and refine implementation processes, standards, tools, and methodologies to improve scalability, consistency, and efficiency. - Leverage AI-powered tools, automation, and emerging technologies to enhance implementation delivery, reduce administrative overhead, improve reporting, and optimize team productivity. - Analyze key performance indicators including implementation timelines, customer satisfaction, adoption, utilization, and project quality to drive continuous improvement. - Champion a culture of innovation by encouraging experimentation and adoption of new technologies that improve customer and team outcomes. - Cross-Functional Collaboration - Partner with Sales, Solution Engineering, and Customer Success teams to support project scoping, implementation planning, and customer onboarding. - Collaborate with Product and Engineering teams to provide implementation feedback, client insights, and recommendations for product enhancements. Qualifications - 5-7 years of experience in software implementation, professional services, project management, customer success, or related SaaS delivery roles. - 2-4 years of people leadership or team management experience. - Experience managing complex SaaS, CSR, grantmaking, employee engagement, or enterprise software implementations. - Strong project management, organizational, and problem-solving skills. - Excellent communication, presentation, and stakeholder management abilities. - Experience utilizing AI, automation, or productivity technologies to increase operational efficiency, improve delivery processes, or enhance customer outcomes. - Demonstrated ability to identify opportunities for innovation, process improvement, and operational transformation. Preferred - Experience with CSRconnect®, GrantsConnect®, corporate social responsibility programs, employee engagement platforms, grantmaking solutions, or similar technology platforms. - Experience with Salesforce, Certinia (FinancialForce), Microsoft 365, SharePoint, Smartsheet, Power BI, or similar business systems. Familiarity with generative AI tools. - Familiarity with implementation methodologies, change management, and process improvement practices. - Experience working with enterprise or mid-market clients. - Knowledge of corporate social impact, philanthropy, workplace giving, volunteering, or nonprofit operations. 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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