<div><strong>Position Summary &nbsp;</strong></div><div>Reporting to the Chief Data and Information Officer</div><div>Location within Kansas City, MO or Remote and or Hybrid optional</div><div>Reporting to the Chief Data and Information Officer, the Director, Applied AI leads the practical application of AI and automation to improve operational effectiveness across GO Project. This role functions as an internal continuous improvement leader, working across every department to identify workflow friction, reduce manual work, and implement AI enabled solutions that expand staff capacity.&nbsp;</div><div>This role represents a strategic priority for GO Project’s next phase of operational scale, with executive leadership committed to embedding AI and automation into everyday organizational workflows. The Director begins as a hands on builder, rapidly prototyping and deploying practical automation and AI enabled workflows. Over time, the role will increasingly focus on architecture, standards, and scaling successful approaches across the organization.&nbsp;</div><div>In the first year, success will be measured by delivering practical AI enabled automations that reclaim staff time, reduce manual administrative work, and demonstrate clear operational value across multiple teams.This role owns the organization’s internal AI tooling environment, establishing standards for approved tools, managing evaluation and selection of platforms, and ensuring AI tools are secure, effective, and aligned with organizational workflows. The Director is responsible for building baseline AI literacy across GO Project, ensuring staff understand how to incorporate AI tools safely and effectively into their daily work.&nbsp;<br><br></div><div><strong>Your Responsibilities Include&nbsp;</strong></div><div><strong>Process Discovery and Workflow Improvement&nbsp;</strong></div><ul><li>Conduct systematic reviews of workflows across departments including programs, operations, marketing, finance, and people operations to identify repetitive or inefficient tasks.&nbsp;</li><li>Lead discovery sessions with department leaders and frontline staff to surface operational pain points and automation opportunities.&nbsp;</li><li>Map end to end workflows to identify friction points where AI and automation can create leverage.&nbsp;</li><li>Maintain and prioritize an organization wide backlog of automation opportunities.&nbsp;</li><li>Maintain a steady pipeline of automation initiatives delivering continuous improvements.&nbsp;</li></ul><div><strong>AI Enabled Workflow Automation&nbsp;</strong></div><ul><li>Design and implement AI enabled workflows that automate routine tasks and improve operational efficiency.&nbsp;</li><li>Rapidly prototype and deploy automation solutions and iterate with real users before scaling.&nbsp;</li><li>Build and maintain AI workflows using modern automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools).&nbsp;</li><li>Design purpose built AI agents connecting AI models with organizational workflows.&nbsp;</li><li>Prototype tools leveraging internal knowledge sources in collaboration with Data and Engineering teams.&nbsp;</li><li>Maintain clear documentation of key workflows and system dependencies.&nbsp;</li></ul><div><strong>System Evaluation, Selection and Implementation&nbsp;</strong></div><ul><li>Evaluate and select commercial AI tools supporting organizational workflows and productivity.&nbsp;</li><li>Lead vendor demonstrations, pilot programs, and tool evaluations.&nbsp;</li><li>Develop business cases and budget recommendations for AI investments.&nbsp;</li><li>Coordinate implementation with IT, Data, and departmental teams.&nbsp;</li><li>Ensure integration with systems like Office 365, Salesforce, Slack, and Asana.&nbsp;</li></ul><div><strong>AI Tooling Governance and Ownership&nbsp;</strong></div><ul><li>Own the organization’s AI tool inventory and approval process working with CDIO.&nbsp;</li><li>Establish standards for approved AI tools used across the organization.&nbsp;</li><li>Manage lifecycle of AI tools including evaluation, approval, renewal, and retirement.&nbsp;</li><li>Identify and rationalize duplicative or unofficial AI tools.&nbsp;</li><li>Apply governance and architecture standards.&nbsp;</li><li>Serve as the operational lead for implementing AI governance decisions.&nbsp;</li><li>Serve as an intake point for requests to introduce new AI tools and prepare recommendations for governance review.&nbsp;</li><li>Prepare tool reviews, vendor assessments, and risk analyses for governance approval.&nbsp;</li><li>Translate governance principles and policies into practical operational guidance for staff.&nbsp;</li></ul><div><strong>Organizational Adoption and AI Literacy&nbsp;</strong></div><ul><li>Lead organizational change efforts for AI initiatives.&nbsp;</li><li>Design and lead an organization wide AI enablement program including workshops and playbooks.&nbsp;</li><li>Build and support an internal AI Champions network.&nbsp;</li><li>Develop practical guidance and examples showing staff how AI can improve everyday work.&nbsp;</li><li>Develop approved tool lists and guidance helping staff comply with the organization’s AI acceptable use policy.&nbsp;</li><li>Proactively intervene when adoption lags expectations.&nbsp;</li></ul><div><strong>AI Strategy Execution&nbsp;</strong></div><ul><li>Translate organizational AI strategy into a pipeline of workflow improvements.&nbsp;</li><li>Identify opportunities where AI can reduce manual work and expand staff capacity.&nbsp;</li><li>Run controlled pilots and recommend scaling or discontinuing initiatives.&nbsp;</li><li>Track KPIs such as time saved and operational efficiency gains.&nbsp;</li><li>Product and Engineering Collaboration&nbsp;</li><li>Provide guidance to engineering teams exploring AI capabilities within CarePortal, Strong Family, and GOEX.&nbsp;</li><li>Share patterns and lessons learned from operational AI implementations.&nbsp;</li></ul><div><strong>What Success Looks Like in the First Year&nbsp;</strong></div><ul><li>Several practical AI automations are live across multiple departments.&nbsp;</li><li>Staff reclaim meaningful time previously spent on administrative tasks.&nbsp;</li><li>Staff understand when and how to use AI tools effectively.&nbsp;</li><li>A clear set of approved AI tools and governance practices is established.&nbsp;</li><li>Department leaders view AI as a practical solution to operational challenges</li></ul><div><br></div><div><strong>Qualifications</strong></div><div><strong>Knowledge and Skills, You Bring to the Organization&nbsp;</strong></div><div><strong>Required&nbsp;</strong></div><ul><li>Bachelor's degree in computer science, Information Systems, Data Science, Engineering, Business Analytics, or related fields required.&nbsp;</li><li>5 to 7 plus years of professional experience in operations, systems implementation, digital transformation, data systems, or technical product development.&nbsp;</li><li>2 to 4 plus years of hands on experience designing and implementing workflow automation, AI enabled systems, or advanced productivity tools within an organizational environment.&nbsp;</li><li>Hands on experience implementing AI enabled workflows or productivity tools.&nbsp;</li><li>Strong working knowledge of current AI technologies and enterprise applications.&nbsp;</li><li>Experience with automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools).&nbsp;</li><li>Comfort working with APIs, JSON, and light scripting (e.g., Python).&nbsp;</li><li>Proven ability to analyze workflows and redesign processes.&nbsp;</li><li>Experience leading cross functional initiatives.&nbsp;</li><li>Effective communication skills with technical and non technical stakeholders.&nbsp;</li></ul><div><br></div><div><strong>Preferred&nbsp;</strong></div><ul><li>Experience designing AI workflows integrating LLMs with business processes.&nbsp;</li><li>Familiarity with prompt engineering, agent workflows, or retrieval systems.&nbsp;</li><li>Experience implementing knowledge management or enterprise search platforms.&nbsp;</li><li>Training or certification in change management methodologies.&nbsp;</li></ul><div><br></div><div><strong>Key Traits for Success&nbsp;</strong></div><ul><li>Curious and Diagnostic enjoys understanding how work gets done.&nbsp;</li><li>Pragmatic: focused on solving operational problems.&nbsp;</li><li>Builder: comfortable getting hands on with automation platforms and APIs.&nbsp;</li><li>Change Leader: skilled at helping teams adopt new tools.&nbsp;</li><li>Translator: explains AI capabilities clearly to technical and non technical audiences.&nbsp;</li><li>Organized: maintains understandable workflows and documentation.&nbsp;</li><li>Operational: thinks in terms of capacity and measurable improvements.&nbsp;</li></ul><div>&nbsp;</div><div>The above description is not intended to be comprehensive, but rather a focused list of priorities. Success provides the opportunity to not only build a career but also bring much needed support and care to local children and families in crisis across the United States. Successful candidates, like all GO Project LLC employees, are expected to live and work consistent with GO’s vision, mission, and values.&nbsp;</div><div>&nbsp; &nbsp;</div><div>GO Project offers a competitive benefits package for full time positions (30 plus hours per week) including health, dental, vision and employer paid life insurance, retirement savings and generous PTO plan and a highly competitive, market indexed compensation when compared to similar non profit roles. Compensation is commensurate with relevant skills and experience. &nbsp;</div><div>The Global Orphan Project is a 501c3 nonprofit located at 3161 Wyandotte, Kansas City, MO 64111.&nbsp;</div><div>GO Project associates are at will employees.&nbsp;</div><div><a href="http://www.goproject.org/">www.goproject.org</a> &nbsp;</div>

Director of Applied AI

<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>

AI Software Engineer

<div><em>Remote (U.S. Based)<br></em><br></div><div><em>The Christian Broadcasting Network (CBN)</em> is looking for a <strong>DevOps Engineer</strong> with experience in the D365 Power Platform to join our IT team! This position is responsible for ensuring the stability, scalability, and efficiency of application environments, with a focus on system reliability, automation, and seamless deployment pipelines. This critical role will focus on the administration, stability and efficiency of Microsoft Dynamics 365 (D365) CRM and our financial transaction processing.&nbsp; Serving in this position facilitates ministry activities and contributes to CBN’s Biblical mission to advance the Gospel of Jesus Christ worldwide.<br><br></div><div>We are looking for someone who can proactively monitor system health, troubleshoot production issues, support CI/CD pipelines, and collaborate with teams across IT, Development, and Operations to enhance system performance and enable effective service delivery. Responsibilities include supporting legacy applications as well as driving the transition to cloud-based infrastructure and modern DevOps practices.<br><br></div><div><strong>The successful candidate will have the following qualifications:<br></strong><br></div><ul><li>A bachelor’s degree in Programming/Systems, Computer Science, or related field or equivalent work experience</li><li>1+ years of experience with Microsoft Dynamics 365 CRM and Power Platform</li><li>Proven experience in DevOps, system administration, or infrastructure support roles</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (IaC), and automation tools</li><li>Broad understanding of content and content organization</li><li>Proficiency with scripting languages such as PowerShell, React, SQL, and optionally Python or T-SQL</li><li>Experience with SQL and troubleshooting data flow/integration issues</li><li>Excellent verbal, written, and other media communication skills</li><li>Integrative thinking, analytical and problem-solving skills</li><li>Self-motivated with ability to work independently and be an effective member of a team</li><li>Excellent project management and organizational skills with attention to detail</li><li>Strong interpersonal skills with ability to establish effective rapport with all levels of CBN staff and outside public</li><li>Demonstrate life application of Biblical principles and practices in alignment with CBN’s non-profit Christian mission</li></ul>

DevOps Engineer

<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>

Christian Python Jobs

Explore top Christian Python jobs at leading Christian tech companies, nonprofits, and churches.