<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

<h3>The Role</h3><div>Cloverleaf transforms how teams understand themselves and each other <strong>— and customer success is where that impact grows. </strong>As a Customer Success Manager, you’ll serve as a <strong>strategic partner to HR, Learning &amp; Development, and People leaders</strong>, helping them deeply embed Cloverleaf into their most important talent initiatives and business processes.<br><br></div><div><em>Because this role spans enterprise, mid-market, and coach/partner accounts, we’re seeking someone with </em><strong><em>3–5 years of B2B SaaS customer success or account management experience </em></strong><em>who can own the strategic customer journey focusing on adoption and expansion, and operate with confidence across diverse customer environments.<br></em><br></div><div>This is far more than a relationship management role. You’ll think like a consultant and approach every account with a <strong>land-and-expand mindset</strong>; driving the kind of deep, durable adoption that naturally opens doors to new use cases, new stakeholder groups, and revenue growth.<br><br></div><h3><strong>What You'll Do</strong></h3><div>You’ll be the trusted strategic advisor helping customers get maximum value from Cloverleaf — and grow their partnership over time.<br><br></div><ul><li><strong>Own a diverse book of business </strong>across enterprise, mid-market, and coach/partner segments, serving as the primary point of contact and trusted advisor throughout the customer lifecycle</li><li><strong>Build deep, multi-threaded relationships </strong>with HR leaders, L&amp;D professionals, People Operations teams, and executive sponsors to understand their business priorities and organizational challenges</li><li><strong>Act as a strategic consultant </strong>who maps Cloverleaf’s capabilities to customers’ existing workflows from onboarding programs and leadership development tracks to manager enablement, performance cycles, and engagement strategies</li><li><strong>Develop and execute tailored success plans </strong>anchored to measurable business outcomes: reduced time-to-productivity, stronger collaboration scores, improved 360 feedback results, and more</li><li><strong>Drive land-and-expand growth </strong>within each account: start with deep adoption in an initial team or use case, then leverage that success to expand into new business units, stakeholder groups, and initiatives</li><li><strong>Proactively identify expansion opportunities </strong>by connecting evolving customer needs to additional Cloverleaf use cases, positioning the platform as an integral part of the customer’s people strategy, not a standalone tool</li><li><strong>Monitor customer health metrics and usage data </strong>to identify risk signals and growth opportunities, using AI-powered tools and data-driven insights to prioritize outreach and deliver timely interventions</li><li><strong>Lead strategic business reviews and executive check-ins </strong>that go beyond usage reporting to demonstrate tangible business impact, surface recommendations, and plant seeds for expansion</li><li><strong>Collaborate cross-functionally </strong>with Implementation Specialists, Support, Sales, and Product to ensure seamless handoffs, resolve issues quickly, and relay customer feedback that shapes the roadmap</li><li><strong>Track and report on key CS metrics </strong>including Net Revenue Retention, logo retention, NPS, adoption milestones, and health scores — using data to drive strategy and demonstrate impact</li></ul><div><br></div><h3>Who You Are</h3><div>You’re consultative, curious, and energized by helping customers succeed. You can zoom out to understand a customer’s business strategy and zoom in to solve the adoption challenge in front of you. You love building relationships, connecting the dots, and making a real difference in how organizations develop their people.<br><br></div><div>You’ll thrive in this role if you:<br><br></div><ul><li>Think and communicate like a strategic partner and can influence stakeholders from end users to C-suite executives</li><li>Are naturally consultative and ask thoughtful questions that uncover what customers actually need to succeed</li><li>Get energized by connecting business problems to platform solutions and articulating the <em>why</em> behind every recommendation</li><li>Stay calm and adaptable when priorities shift (they will!), and know how to keep accounts on track through ambiguity</li><li>Love using data, AI tools, and automation to work smarter and deliver more proactive, personalized outreach at scale</li><li>Work well across teams and communicate clearly whether you’re presenting in an executive QBR or collaborating with Product on a feature request</li></ul><div><br></div><h3>What You Bring</h3><div><strong><br>Required</strong></div><ul><li>3–5 years of experience in <strong>Customer Success, Account Management, or a strategic client-facing role </strong>within B2B SaaS</li><li>Demonstrated ability to <strong>manage and grow a portfolio of accounts </strong>with a land-and-expand approach owning renewals, identifying expansion opportunities, and driving revenue growth</li><li>Track record operating as a strategic partner with strong <strong>consultative and strategic thinking skills</strong>, with the ability to understand a customer’s business landscape and influence stakeholders at all levels</li><li>Outstanding <strong>written and verbal communication skills</strong>, with a confident customer-facing presence in business reviews, executive conversations, and cross-functional sessions</li><li>Ability to interpret and act on <strong>customer health data, usage analytics, and AI-driven insights </strong>(e.g., predictive churn signals, engagement scoring) to drive proactive account strategies</li><li>Experience guiding customers through <strong>organizational change</strong>, including stakeholder alignment, user adoption strategies, and embedding new tools into established workflows</li><li>Comfort operating in a <strong>fast-paced startup environment </strong>where resourcefulness, adaptability, and ownership are essential</li></ul><div><strong><br>Preferred</strong></div><ul><li>Experience in a <strong>SaaS startup environment</strong>, with familiarity with the pace, ambiguity, and opportunity of high-growth companies</li><li>Background in or deep familiarity with <strong>Human Resources, Talent Development, Learning &amp; Development, or Organizational Development</strong></li><li>Experience with <strong>behavioral assessments or personality frameworks </strong>(e.g., DISC, Enneagram, CliftonStrengths, 16-Types) or coaching methodologies</li><li>Experience with <strong>Customer Success Platforms </strong>(e.g., Vitally, ClientSuccess, Gainsight, ChurnZero) and CRM tools (Salesforce, HubSpot)</li><li>Exposure to <strong>AI applications in customer experience</strong>, including predictive analytics, automated engagement tools, or AI copilots</li><li>Experience using <strong>data visualization or BI tools </strong>(e.g., Looker, Tableau, Sigma, Omni) to communicate customer outcomes and portfolio health</li></ul><div><br></div><h3>Success in this Role</h3><ul><li><strong>Cloverleaf is embedded into customers’ core people processes,</strong> not treated as an add-on, resulting in deep, durable adoption that naturally creates expansion opportunities.</li><li><strong>Accounts consistently grow over time through a land-and-expand motion:</strong> initial deployments expand into new departments, use cases, and stakeholder groups, directly contributing to revenue growth.</li><li><strong>Customers can clearly articulate how Cloverleaf contributes to their business outcomes</strong> whether that’s improved team performance, stronger leadership pipelines, faster onboarding, or higher engagement scores.</li><li><strong>Net Revenue Retention and logo retention targets are met or exceeded quarter over quarter,</strong> with expansion revenue driven by adoption-led growth rather than transactional upsells.</li><li><strong>Customers are engaged advocates</strong> who participate in case studies, referrals, and community activities because they see Cloverleaf as a true strategic partner.</li><li><strong>Customer health scores improve across the portfolio,</strong> with proactive interventions reducing churn risk before it escalates.</li><li><strong>Cross-functional collaboration is seamless,</strong> with clear feedback loops between CS, Product, Sales, and Implementation that improve the overall customer journey and inform product strategy</li></ul><div><br></div><h3>How We Unleash You to Do Your Best Work</h3><ul><li>Flexible PTO and work schedule - with a minimum of 2 full weeks off per year</li><li><em>Company paid</em> full benefits, including medical, dental, vision, life insurance, and more!</li><li>Recognition rewards and monthly stipend for wellness, technology, pet care, or student loans</li><li>Macbook and home-office set-up stipend</li><li>401k benefits including a match with immediate vesting</li><li>Truly values-driven team (ask us about it!)</li></ul><div><br><br></div><h3>Who We Are</h3><div>Cloverleaf connects siloed HR data and team collaboration tools to deliver personalized, actionable development at scale. Built on validated assessments like DISC, Enneagram, CliftonStrengths, and 16 Types, plus real-time insights, it strengthens team alignment, communication, and performance for over 30,000 teams worldwide.<br><br></div><div><strong><em>Cloverleaf is on a mission to unleash people to do their best work.&nbsp;<br></em></strong><br></div><div><em>We believe that people should be passionate and engaged with the work that they are doing, starting with our own team.</em></div>

Customer Success Manager

<div>The expected salary range for this position is $106,400.00 - $125,010.60. Employees in specific high cost of labor locations in the United States (such as San Francisco, CA and Seattle, WA) may qualify for a geographic differential. Compassion International is not responsible for third parties who omit this information when copying and re-posting job openings.</div><div><br>We’re seeking an Applied Data Scientist III to turn our backlog of AI use cases into scalable, production-ready solutions. This role is both hands-on technical and strategy, combining model development, system design, and operationalization in AWS alongside AI adoption and domain readiness. You’ll work to standardize efforts, drive measurable business impact, and elevate data science best practices across the team and enterprise. You’ll also represent AI platform capabilities to neighbor groups, translating complex ideas and needs into clear value, for both non-technical and technical stakeholders.&nbsp;</div><div><br><strong>What will you do?</strong> &nbsp;</div><ul><li>Maintains a personal relationship with Jesus Christ. Is a consistent witness for Jesus Christ, maintains a courteous, Christ-like attitude in dealing with people within and outside of Compassion, and faithfully upholds Compassion’s ministry in prayer.&nbsp;</li><li>Acts as an advocate to raise the awareness of the needs of children. Understands Christ’s mandate to protect children. Commits to and prioritizes child protection considerations in all decision-making, tasks and activities across the ministry. Abides by all behavioral expectations in Compassion’s Statement of Commitment to Child Protection and Code of Conduct. Reports any concerns of abuse, neglect or exploitation of children through Compassion’s internal reporting process and appropriately supports responses to incidents if they occur.&nbsp;</li><li>Uphold and engage in Compassion’s core <strong>Cultural Behaviors</strong>.&nbsp;</li><li>Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments.&nbsp;</li><li>Develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets. Further evaluates potential operational changes, and designs new approaches and data methodologies accordingly.&nbsp;</li><li>Performs exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes. Further develops proofs of concept to verify ideas and closes the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients.&nbsp;</li><li>Translates complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions and AI adoption.&nbsp;</li></ul><div><br><strong>What do you bring?</strong>&nbsp;</div><ul><li>Demonstrated ability to act as an AI evangelist—guiding non-technical teams, influencing adoption, and promoting best practices across the organization&nbsp;</li><li>Strong ability to quantify impact, including cost savings, ROI, and prioritization of high-value use cases&nbsp;</li><li>Experience partnering with business stakeholders and translating technical concepts into clear, actionable items and insights&nbsp;</li><li>Strong hands-on experience building and deploying machine learning models end-to-end in production environments&nbsp;</li><li>Proven ability to perform exploratory data analysis and select appropriate algorithms based on business outcomes and data characteristics&nbsp;</li><li>Hands-on experience with AWS (especially SageMaker) for model development, deployment, and orchestration&nbsp;</li><li>Experience working with modern data platforms such as Snowflake and enterprise data warehouses&nbsp;</li><li>Ability to consolidate and operationalize multiple siloed use cases into standardized, scalable solutions&nbsp;</li><li>Seven years Relevant experience working in the Data field&nbsp;</li></ul><div><br><strong>Why work here?</strong>&nbsp;</div><ul><li><strong>The mission:</strong> Join a team that is motivated to release children from poverty in Jesus’ name.&nbsp;</li><li><strong>Our benefits</strong>: Receive generous paid time off, 10% contribution to a 403(b) retirement fund on top of your salary, excellent healthcare coverage, free short-term professional counseling, and <strong>more</strong>.&nbsp;</li><li><strong>Spiritual growth:</strong> Participate in regular chapel services, prayer groups, and department devotionals.&nbsp;</li></ul>

Applied Data Scientist III

<div>GMO Global Media Outreach harnesses the power of digital technology to spread the Gospel around the globe. Through advanced data-driven strategies, we connect with millions, fostering their spiritual growth in Christ. We aim to offer every person on Earth the chance to discover Jesus via various digital channels, creating a faith-based community that unites volunteers with individuals worldwide seeking spiritual enlightenment.<br><br></div><div>We are seeking a skilled and mission-driven Data Scientist to join our growing team. This role is pivotal in helping us understand, engage with, and support people at every stage of their spiritual journey. As a <strong>Data Science &amp; Analytics Director </strong>at Global Media Outreach, you’ll apply statistical modeling, machine learning, and data mining techniques to generate insights that inform outreach strategies, measure spiritual engagement, and optimize impact. You’ll work closely with stakeholders across the organization to ensure data is used to advance our mission effectively and responsibly.<br><br></div><div><strong>Key Responsibilities:<br></strong>This role will provide leadership to the Data Science &amp; Analytics team and foster cross-functional collaboration (including engineering, product, etc.) to align data initiatives with broader business objectives. This role reports to the Chief Technology Officer and works closely with the Director of Engineering and Sr. Director of Solutions as part of the Technology Solutions leadership team.&nbsp;<br><br></div><div><em>Modeling, Metrics &amp; Analysis:</em></div><ul><li>Design and implement machine learning models to classify contacts, predict user engagement, and identify behavioral trends.</li><li>Develop and refine metrics to quantify spiritual growth and content effectiveness.</li><li>Analyze large datasets to extract insights that inform strategic decisions, campaign performance, and digital outreach strategies.</li></ul><div><br><em>Experimentation &amp; Optimization:</em></div><ul><li>Design and evaluate A/B tests, multivariate experiments, and causal analyses to test hypotheses and optimize messaging, user flows, and engagement pathways.</li><li>Leverage data insights to assess the efficacy of product enhancements, content approaches, and operational workflows. This analysis will inform solution development and drive continuous improvement.</li></ul><div><br><em>Data Engineering Collaboration:</em></div><ul><li>Partner with the Director of Engineering to source, clean, and prepare structured and unstructured data for analysis and model deployment.</li><li>Contribute to refining data pipelines and support the execution of scalable models in production environments.</li></ul><div><br><em>Communication &amp; Visualization:</em></div><ul><li>Communicate complex data insights to stakeholders at all levels through clear narratives and effective data visualizations, enabling data‑driven decision‑making across the organization.</li><li>Create compelling dashboards, reports, and visualizations to communicate trends and recommendations to internal stakeholders and leadership.&nbsp;</li></ul><div><br>Research &amp; Innovation:</div><ul><li>Stay informed on trends in data science, machine learning, and AI—especially those applicable to digital engagement and nonprofit work.</li><li>Explore emerging technology trends such as NLP, recommender systems, and responsible AI to inform future innovation.</li></ul><div>&nbsp;</div><div><strong>Skill Requirements:</strong></div><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5–7 years in data science/analytics with leadership experience.</li><li>Proficiency in Python or R and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, caret).</li><li>Strong SQL skills and experience working with relational databases and data warehouses.</li><li>Demonstrated experience with supervised and unsupervised learning techniques.</li><li>Strong grasp of experimental design, hypothesis testing, and statistical inference.</li><li>Excellent communication and visualization skills, with the ability to explain complex models to non-technical stakeholders.</li><li>Experience deploying models and working with data in production environments.</li></ul><div><br><strong>Bonus Skills:</strong></div><ul><li>Experience in digital engagement, donor analytics, or non-profit impact measurement.</li><li>Familiarity with cloud platforms such as AWS or Google Cloud Platform.</li><li>Exposure to NLP and chatbot-related applications.</li><li>Proficiency in data visualization tools such as Tableau, Power BI, or Looker.</li><li>Understanding of data ethics and responsible AI practices.</li></ul><div>&nbsp;</div><div><strong>Additional Requirements</strong></div><ul><li>This position is fully remote.</li><li>Only U.S.-based applicants will be considered.</li><li>Applicants must be authorized to work in the U.S.</li><li>Alignment with our Statement of Faith is required.</li></ul><div>&nbsp;</div><div><strong>To Apply<br></strong>If you have a passion for using your skills for Gospel purposes, we encourage you to apply. Please submit your <strong>resume</strong> and a <strong>cover letter below. </strong>Your cover letter should detail your interest in joining Global Media Outreach and highlight your experience and skills.<br><br></div><div>Join us in our mission to make a significant global impact through innovative digital means, spreading the gospel and connecting people with the message of Jesus Christ!</div>

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