<div><strong>Summary</strong></div><div><br></div><div>This role is strategic yet hands-on, combining innovative leadership with practical implementation. The AI Innovation Manager will manage AI processes and lead the identification, development, and deployment of artificial intelligence (AI) initiatives across academic and administrative units. This role partners with faculty and staff to drive responsible, high-impact AI adoption aligned with institutional policies.</div><div>&nbsp;</div><div><strong>Essential Duties and Responsibilities</strong></div><div><br></div><div>Include the following. Other duties may be assigned.</div><ol><li>Develop and execute a university-wide AI innovation strategy and roadmap; aligned with institutional goals for research excellence, student success, and operational efficiency.</li><li>Identify, evaluate, and pilot emerging AI tools and technologies (e.g., generative AI for curriculum design, research automation, administrative workflows, student advising, and personalized learning).</li><li>Collaborate with faculty, researchers, IT teams, and department leaders to integrate AI into academic programs, research projects, and campus operations.</li><li>Manage AI pilots and proof-of-concept projects, including budgeting, timelines, risk assessment, and success metrics.</li><li>Promote responsible and ethical AI use, including governance, bias mitigation, data privacy (FERPA, GDPR), and compliance with university policies and California regulations.</li><li>Design and deliver training programs, workshops, and resources to build AI literacy among faculty, staff, and students.</li><li>Track AI trends, emerging technologies, best practices in higher education, and provide strategic recommendations.</li><li>Identify and prioritize AI use cases across the campus while collaborating with other ITS staff to implement scalable AI solutions.</li><li>Partner with faculty and staff to support AI-enabled teaching, research, and operational needs to improve efficiency and user experience.</li><li>Work with others to establish AI governance, ethics, and compliance frameworks to promote AI literacy across campus through workshops and training.</li><li>Assist with AI technology standards, processes and evaluate and manage AI vendors, tools, and processes.</li><li>Participate in planning activities with other areas of ITS and lead AI development of agents/bots across campus.</li><li>Maintain thorough documentation of systems for all applications and processes while staying up-to-date with the latest technologies and trends to improve access to information and services.</li></ol><div>&nbsp;</div><div><strong>Supervisory Responsibilities</strong></div><div><br></div><div>Directly supervise employees and student workers. Carry out supervisory responsibilities in accordance with the organization&rsquo;s policies and applicable laws. Interview and train employees; plan, assign, and direct work; appraise performance; reward and discipline employees; address complaints and resolve issues.</div><div>&nbsp;</div><div><strong>Other Skills and Abilities</strong></div><div><br></div><div>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.</div><ul><li>Demonstrated ability and willingness to live and uphold the University's Christ-centered mission and values.</li><li>Experience in AI/ML project management, agent/bot creation, innovation management, or technology strategy roles (higher education, research, or tech industry experience strongly preferred).</li><li>Deep knowledge of AI technologies, including generative AI, machine learning, large language models, and responsible AI practices.</li><li>Proven success leading cross-functional projects and driving technology adoption.</li><li>Strong understanding of higher education environments, including research, teaching, and academic governance.</li><li>Excellent project management, communication, and stakeholder engagement skills.</li><li>Familiarity with data privacy laws (FERPA, etc.) and ethical AI frameworks.</li><li>Experience in higher education and related ERP/SIS systems such as Banner, Salesforce and Canvas.</li><li>Familiarity with generative AI, LLMs, and academic technology ecosystems.</li><li>Experience developing training programs or faculty development initiatives.</li><li>Knowledge of data privacy regulations.</li><li>Ability to simultaneously coordinate and complete multiple projects.</li><li>Maintain a long-term, big picture view; foresee obstacles, risks and opportunities.</li><li>Ability to supervise and train employees.</li><li>Strong interpersonal and teamwork skills and the ability to work effectively with diverse faculty, staff and student body.</li><li>Ability to perform thorough research to propose alternatives and options.</li><li>Ability to communicate effectively both orally and in writing, and to present information effectively to all levels of the organization.</li><li>Ability to investigate and analyze information and to draw conclusions.</li><li>Ability to direct and work closely with vendors, consultants, and contractors.</li><li>Ability to work flexible hours.</li></ul><div>&nbsp;</div><div><strong>Education and/or Experience</strong></div><div><br></div><div>Bachelor&rsquo;s degree required in the areas of Computer Science, Computer Information System, Data Science or related field; Master&rsquo;s degree preferred. 3-5+ years of experience in AI, machine learning, data analytics, digital innovation AI/ML project management, agent/bot creation, innovation management, or technology strategy roles (higher education, research, or tech industry experience strongly preferred). Demonstrated ability to lead complex, cross-functional projects. Strong understanding of AI ethics, data governance, and privacy considerations. Excellent communication, facilitation, and stakeholder-management skills.</div>

AI Innovation Manager

<h3>Description</h3><div>The Principal Artificial Intelligence (AI) Software Architect leads the design, development, and deployment of advanced AI and software engineering solutions across the enterprise.&nbsp; This role blends deep expertise in artificial intelligence with architectural leadership in software systems, driving innovation, scalability, and excellence in engineering practices.<br><br></div><div><strong>&nbsp;PRINCIPAL RESPONSIBILITIES AND DUTIES:<br></strong><br></div><ul><li>Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals.</li><li>Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions.</li><li>Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability.</li><li>Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture.</li><li>Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement.</li><li>Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives.</li><li>Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives.</li><li>Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies.</li><li>Other duties as needed or assigned.</li></ul><div><br><strong>SKILLS AND ABILITIES REQUIRED:<br></strong><br></div><ul><li>Hands-on experience driving innovation through emerging technologies and methodologies.</li><li>Excellent communication skills and leadership skills with a track record of mentoring and influencing teams.</li><li>Proven experience designing and deploying AI/ML and software solutions at scale in cloud environments such as Azure, AWS, GCP.</li><li>Expertise in machine learning, deep learning NLP, computer vision, and generative AI.</li><li>Ability to demonstrate strategic thinking and the ability to align technical vision with business objectives.</li><li>Ability to build trust and influence across all levels of the organization, driving consensus and momentum for complex initiatives.</li><li>Advanced knowledge of programming languages within the respective divisions.</li><li>Advanced knowledge of applicable data privacy practices and laws.</li><li>Advanced analytical, conceptual, and problem-solving abilities.</li><li>Advanced level of written and oral communication skills.</li><li>Advanced level of interpersonal and consultative skills.</li><li>Ability to effectively prioritize and execute tasks in a high-pressure environment.</li><li>Ability to work in a team-oriented, collaborative environment.</li></ul><div><br><strong>MINIMUM LEVEL OF PREPARATION AND TRAINING NORMALLY REQUIRED:<br></strong><br></div><ul><li>A bachelor’s degree in the field of computer science, information systems, or computer engineering or equivalent experience.</li><li>7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems.</li><li>5+ years of hands-on experience with application development tools, including Visual Studio .NET.</li><li>5+ years of hands-on experience with relational database technology, preferably MS SQL Server.</li></ul><div><br></div>

Principal AI Software Architect

<div><strong>Position Summary</strong></div><div><br>Virtuous is evolving its data platform into an AI-ready foundation that powers trusted decision-making and self-service analytics across the company.</div><div><br>We’re hiring a <strong>Lead Data Platform Engineer</strong> to design, build, and <em>own</em> the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ambiguity and thrives at the intersection of systems design, business semantics, and AI enablement.</div><div><br>This is <strong>not a traditional data engineering role</strong> focused on building one-off pipelines, dashboards, or ad hoc reports. Success in this role comes from designing and building durable platform capabilities — security models, access patterns, cost controls, and shared data foundations — that enable teams (<em>and AI systems</em>) to safely and confidently use data at scale.</div><div><br>You’ll work closely with the Director of Data Operations as well as our Finance, Product, Engineering and Security Teams to ensure our data platform is accurate, governable, and ready to support AI-enabled workflows across the company.</div><div><strong><br>What You'll Build &amp; Own</strong></div><div><br></div><h3>Data Platform &amp; AI-Enablement</h3><ul><li>Own the evolution of Virtuous’s data platform, primarily on <strong>Snowflake and dbt</strong>, as a secure, scalable, and AI-ready system.</li><li>Design data models, metadata, and access patterns that support <strong>natural-language querying and AI-assisted analysis</strong>.</li><li>Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions.</li><li>Prepare data foundations that allow AI tools to deliver consistent, timely, and trustworthy answers.</li><li>Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and access standards.</li></ul><div><br></div><h3>Access, Trust &amp; Governance by Design</h3><ul><li>Architect and implement role-based access controls within Snowflake and related data systems (including row- and column-level security), ensuring enforcement aligns with enterprise IAM standards, approved access policies, and centralized identity governance processes.</li><li>In partnership with Security Operations and IT, translate approved enterprise access and compliance policies into enforceable platform-level controls, and maintain technical configurations to ensure ongoing alignment with those standards.</li><li>Ensure all platform-level access controls integrate with the enterprise identity provider (SSO, SCIM, role lifecycle management), and support automated provisioning, deprovisioning, and periodic access certification processes.</li><li>Build governance patterns that are enforced by design — not by manual process.</li><li>Support periodic access reviews and control validation processes in coordination with Security and Compliance teams, ensuring appropriate separation of duties between policy definition, approval, and technical implementation.</li></ul><div><br></div><h3>Platform Leverage &amp; Standards</h3><ul><li>Build and maintain <strong>CI/CD pipelines</strong>, testing strategies, and deployment patterns for dbt and Snowflake.</li><li>Design deployment, testing, and validation patterns that make accuracy the default.</li><li>Establish platform standards, templates, and best practices that enable others to move faster without sacrificing quality or security.</li><li>Increase the amount of trusted work the organization can do without increasing Data Ops involvement.</li><li>Reduce ad hoc work by building reusable systems and guardrails.</li><li>Act as a technical leader and thought partner across data-related initiatives.</li></ul><div><br></div><h3>Reliability, Cost &amp; Performance</h3><ul><li>Own Snowflake warehouse strategy, resource governance, and cost optimization.</li><li>Continuously improve performance, scalability, and reliability across the data platform.</li><li>Identify and eliminate inefficiencies that increase cost, risk, or operational overhead.</li><li>Collaborate with IT and Cloud Engineering to ensure Snowflake networking, storage integrations, and data movement patterns align with enterprise cloud security baselines, network segmentation standards, and infrastructure governance policies.</li></ul><div><strong><br>What Success Looks Like</strong></div><ul><li>Teams reliably self-serve data and insights without increasing DataOps workload or risk.</li><li>AI-powered tools consistently answer business questions accurately, using governed data, with access enforced by role and context.</li><li>Data access, governance, and correctness are enforced by platform design rather than manual review or process.</li><li>Platform improvements materially reduce cost, operational risk, or time-to-insight.</li><li>Shared, trusted models replace bespoke datasets and one-off definitions.</li><li>At least one company-critical initiative (e.g., AI enablement, cost optimization, access expansion) succeeds specifically because of systems you designed and built.</li></ul><div><br><strong>Who This Role is For</strong></div><ul><li>Care about leverage, durability, and outcomes — not just shipping artifacts.</li><li>Think deeply about how AI and automation change the role of data platforms.</li><li>Are highly self-directed and motivated, and take pride in ownership.</li><li>Thrive in ambiguity and are comfortable making decisions with incomplete information.</li><li>Are motivated by leverage, correctness, and long-term impact — not ticket volume or titles.</li><li>Readily navigate cross-functional tradeoffs to build shared data foundations that serve the whole company, not individual teams.</li></ul><div><strong><br>You Must Have</strong></div><ul><li>7+ years of experience in data engineering, platform engineering, or related infrastructure roles, with ownership of production systems.</li><li><strong>Deep expertise in Snowflake</strong>, especially:<ul><li>Roles and RBAC</li><li>Row-level and column-level security</li><li>Warehouse design and cost optimization</li><li>Performance tuning and governance</li></ul></li><li><strong>Strong experience using dbt </strong>to build and maintain shared data models, including macro development, testing strategies, source freshness, group model security implementation, and production deployment patterns..</li><li>Advanced SQL skills and experience designing reliable ELT/ETL pipelines.</li><li>Proven systems-thinking mindset, with the ability to reason about tradeoffs across correctness, access, cost, and speed.</li><li>Clear communicator who can explain complex technical concepts to both technical and non-technical partners.</li></ul><div><strong><br>Nice to Have</strong></div><ul><li>dbt certification strongly preferred</li><li>Experience enabling AI/ML or natural-language data access.</li><li>Familiarity with data observability, lineage, or metadata tooling.</li><li>Experience designing platforms for self-service analytics.</li><li>Exposure to BI tools such as Sigma, Looker, or Tableau.</li><li>Experience working in lean, fast-growing organizations where leverage matters more than headcount.</li></ul><div><strong><br>What We Offer</strong></div><ul><li>Market competitive pay leveraging Carta data</li><li>Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)</li><li>401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days</li><li>We value our employee’s work-life balance and encourage taking advantage of Unlimited PTO</li><li>Supportive time off including paid volunteer days and company holidays</li><li>Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).</li><li>12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)</li><li>We pride ourselves on Community and host exciting company outings and events.</li></ul><div><br><strong>About Us</strong></div><div><br>Virtuous is on a mission to inspire global generosity by helping nonprofits build better relationships with their donors. We offer a modern software platform that provides mid-sized charities with elegant tools for fundraising, marketing, volunteerism, and online giving.</div><div><br>Our talented team is driven to disrupt the status quo in the nonprofit sector. We are hungry, humble, and committed to delivering best-in-class software solutions, customer success interactions, and sales experiences to the world’s leading nonprofits&nbsp;</div><div><br><br></div><div>We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity by volunteering at nonprofits or going the extra mile for our team and the customers we serve. We take our work seriously, but we don’t take ourselves too seriously. We believe that life is too short not to love what you do.&nbsp;</div><div><br>The ideal candidate for Virtuous embodies our values by:</div><ul><li>Asking questions with a spirit of curiosity</li><li>Giving feedback freely with candor &amp; grace, welcoming it in return</li><li>Displaying a passion for philanthropy and technology&nbsp;</li><li>Serving with joy. Everyone is willing to make the coffee!</li><li>Celebrating the wins &amp; milestones of others&nbsp;</li><li>Assuming good intent &amp; demonstrating trust in others&nbsp;</li><li>Pursuing relationships with people different from themselves &amp; creates space to be human</li></ul>

Lead Data Platform Engineer

<div><strong>The Role<br></strong><br></div><div>We're hiring Software Engineers to own core platform systems as we scale. This is a high-ownership role on a small team. You'll shape technical direction, make architectural decisions, and ship end-to-end. The specific problems will shift as we grow - what stays constant is that you'll own technically complex systems with direct, measurable business impact. You'll work closely with the rest of the engineering team as well as the ops team that manages client relationships.<br><br></div><div><strong>Requirements<br></strong><br></div><div><strong>The Kind of Work You'll Do<br></strong><br></div><div>To give you a sense of the problems on - not an exhaustive list, but representative of the type and complexity of work at this level:<br><br></div><div><strong>Decision systems.</strong> Building the logic that determines which customers to contact, when, and why - and making that logic configurable, auditable, and increasingly intelligent over time.<br><br></div><div><strong>Data infrastructure.</strong> Making our data trustworthy, queryable, and actionable - the analytics foundation that powers targeting, reporting, and client-facing products.<br><br></div><div><strong>Supply and demand.</strong> Connecting real-time technician availability to outreach decisions, agent conversations, and client reporting so the platform responds to what's actually happening on the ground.<br><br></div><div><strong>Client-facing visibility.</strong> Our clients need to see what's happening with their campaigns without emailing us. That means dashboards, attribution, full-funnel tracking, and alerting - built on the analytics layer and designed for people who aren't technical.<br><br></div><div><strong>System evolution.</strong> We have production systems serving real clients that need to be replaced incrementally. You'll design migration strategies, run parallel validation, and cut over without disrupting active campaigns.<br><br></div><div><strong>What We're Looking For<br></strong><br></div><div><strong>You drive impact.</strong> You work to find the next thing big thing that will bring value to the team and company. You influence the team and company in an honest and positive way. You build up and support your teammates.<br><br></div><div><strong>You've built systems that make decisions at scale.</strong> Whether that's ad targeting, recommendation engines, marketplace matching, or campaign orchestration - you've designed pipelines where the system decides who gets what, and you've dealt with the operational complexity that comes with it.<br><br></div><div><strong>You think in data models.</strong> You know how to design schemas that absorb business complexity without becoming unmaintainable. You're comfortable with the tradeoffs between normalized relational models, EAV patterns, and JSONB escape hatches - and you know when each is appropriate.<br><br></div><div><strong>You're pragmatic about shipping.</strong> You design for incremental delivery, not big-bang rewrites. You've migrated production systems while they were running and know what it takes to do that safely.<br><br></div><div><strong>You close the loop.</strong> You don't just build the pipeline - you think about how to measure whether it's working, how to surface failures before clients notice, and how to use outcome data to improve the system over time.<br><br></div><div><strong>You write clearly.</strong> Engineers at UpSmith write design docs that the team can build from. You'll spend meaningful time articulating your approach before you start coding.<br><br></div><div><strong>Technical Environment<br></strong><br></div><ul><li><strong>Backend:</strong> Python, PostgreSQL, SQLAlchemy</li><li><strong>Data:</strong> dbt, Prefect, incremental models, SCD Type 2 snapshots</li><li><strong>Infrastructure:</strong> Kubernetes, AWS (S3, SQS, EventBridge)</li><li><strong>AI/ML:</strong> LLM-powered conversational agents, with growing opportunities to introduce ML-based optimization into targeting and prioritization</li><li><strong>Integrations:</strong> ServiceTitan (field service management), CRM systems</li></ul><div><br><strong>Benefits<br></strong><br></div><ul><li>Early-stage equity in a company with strong revenue growth and a clear path to scale</li><li>High ownership - you'll shape technical direction, not implement someone else's spec</li><li>A small team where your work has visible, measurable impact on client outcomes</li><li>Remote-first with flexibility to work where you're most productive</li></ul><div><br></div><div><strong>About UpSmith<br></strong><br></div><div>UpSmith is an AI-powered platform for home services companies. Our AI agents automate customer outreach at scale - booking maintenance appointments, following up on estimates, confirming jobs, and re-engaging lapsed customers on behalf of HVAC, plumbing, and electrical companies across the US.<br><br></div><div>We're a small engineering team where every system we build directly drives revenue for our clients. The feedback loop is tight and the stakes are real - something breaks or underperforms, clients notice the same day.</div>

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