<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>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

<h3>Who we are</h3><div>Clearstream is a communication and engagement platform serving more than 9,000 churches and non-profits. Our core products are texting and email. You can learn more about our company, culture, and values at Clearstream and on our "Our Story" page.<br><br></div><div>We are a small, detail-oriented, tight-knit team with a high standard for the work we ship. This role will be an important part of that.<br><br></div><div>Our team works four days per week (36 hours), which means a three-day weekend every week. 🎉<br><br></div><h3>The role</h3><div>We are looking for a <strong>Senior Full-Stack Engineer</strong> with strong experience in Vue and Laravel, excellent attention to detail, and a genuine desire to serve the local church through great software. You will work closely with our Director of Engineering and our small product team.<br><br></div><div>You will own features end-to-end once scope is defined. Your work will include writing code, writing tests, reviewing pull requests, offering suggestions to improve the developer experience, and occasionally making edits to our `AGENTS.md` file.<br><br></div><div>This role is a strong fit for someone who cares deeply about code quality, application and database performance, polished implementation, and working independently on a small, high-trust team.<br><br></div><div><strong>Requirements<br></strong><br></div><h3>What we’re looking for</h3><div>We are looking for someone who can contribute across the stack with a high degree of ownership. You should be comfortable taking a polished Linear issue and carrying it through implementation, testing, and deployment. You should be able to work autonomously, communicate clearly, and consistently produce thoughtful, high-quality work.<br><br></div><div>You likely have several years of experience building production web applications with Laravel and modern single-page applications. Experience working on large-scale applications with high availability is a plus.<br><br></div><h3>You may be a fit if you have:</h3><ul><li><strong>A desire to understand the </strong><strong><em>why</em></strong><strong>.</strong> You want to understand the problem a feature is solving for our churches. You do not want to simply check something off a list.</li><li><strong>Strong programming fundamentals.</strong> You may not be an expert in every part of our stack, but you understand the fundamentals deeply and write clean, well-tested code.</li><li><strong>Keen attention to detail.</strong> You care about the little things. As a product team, we believe in quality over quantity.</li><li><strong>A mindset of continuous improvement.</strong> You are always looking for ways to improve yourself, our processes, and our product.</li><li><strong>High ownership.</strong> You manage your time well, work efficiently, and know when to ask for help.</li><li><strong>A genuine desire to serve the local church.</strong> That is the heart of our mission at Clearstream.</li><li><strong>Working hours:</strong> You must be able to maintain at least a four-hour overlap with our team’s working hours of <strong>7:00a – 4:00p ET.</strong></li></ul><div><br></div><h3>Our tech</h3><div>You should have experience with most of the following:<br><br></div><ul><li>Laravel, MySQL, and Redis on the backend</li><li>Vue + TypeScript SPA on the frontend</li><li>React Planning Center plugin</li><li>Tailwind CSS v3</li><li>Hosted on AWS</li><li>OpenAI and Claude subscriptions</li><li>GitHub, Linear, Slack, and Loom for communication</li></ul><div><br></div><h3>What success looks like in this role</h3><ul><li>You are regularly building new user-facing features that are reliable and polished.</li><li>You have provided thoughtful reviews on several pull requests.</li><li>You have improved the performance of a few slow queries.</li><li>You have suggested a couple of meaningful improvements to our design system.</li><li>You have identified ways we can improve our development process.</li><li>You have beaten someone on the product team at GeoGuessr.</li></ul><div><br><strong>Benefits<br></strong><br></div><ul><li>4-day work week year-round (36 hours)</li><li>Base salary: <strong>$130,000–$160,000</strong></li><li>99% company-paid premium healthcare coverage through Blue Cross Blue Shield, plus 75% company-paid dependent coverage</li><li>100% company-paid vision, dental, and life insurance</li><li>5% 401(k) match</li><li>5 PTO days in year one. 10 PTO days per year starting year two</li><li>Paid sick time</li><li>Minimal working hours during the week of Christmas and New Year’s</li><li>Annual Christmas bonus</li><li>Annual compensation review</li><li>Phone and gym allowance</li><li>Remote, in-office, or hybrid</li></ul><div><br></div><h3>Application process</h3><div>To apply, please send us your resume, a few examples of code you've written, and a <strong>1–2 minute video</strong> introducing yourself and explaining why you’d be a good fit for this role.<br><br></div><div><strong>The video is required. We will not consider applications submitted without it.<br></strong><br></div><h3>Interview process</h3><div>1. <strong>Initial application</strong> — Resume, design examples, and required intro video.<br><br></div><div>2. <strong>Zoom interview</strong> — A conversation with our Director of Engineering and Director of Operations.<br><br></div><div>3. <strong>Code challenge</strong> — This should take around four to six hours. We will compensate your time.<br><br></div><div>4. <strong>Reference check</strong> — We’ll ask for references and take time to review them.<br><br></div><div>5. <strong>Final Zoom interview</strong> — We’ll discuss your code challenge, ask any final questions, and give you time to ask any remaining questions you have.</div>

Senior Full-Stack 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>

Data Science & Analytics Director

<div>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>We are seeking a <strong>QA Engineer</strong> to join our Technology Solutions team. This role ensures the quality and reliability of our digital platforms through robust testing, automation, and documentation. You’ll be responsible for testing web and mobile applications, APIs, and system workflows to ensure a seamless experience for seekers and volunteers around the world. This is a hands-on role that requires a detail-oriented mindset, strong collaboration skills, and a passion for delivering high-quality software to advance a meaningful mission.<br><br></div><div><strong>Responsibilities of the Role<br></strong>This role will work closely with engineering, product, and data teams to uphold our commitment to excellence in software delivery. This role will report directly to the Director of Support and work closely with the Sr. Director of Solutions.<br><br></div><div><em>Test Planning &amp; Execution<br></em><br></div><ul><li>Develop and execute test plans, test cases, and test scripts for functional, regression, performance, and integration testing in collaboration with a cross-functional team of staff and volunteers.</li><li>Conduct end-to-end testing of new features, bug fixes, and system enhancements across web, mobile, and backend systems.</li><li>Collaborate with developers during sprint cycles to ensure testability and quality of new code.</li><li>Implement and maintain automated test suites using Jest, Jasmine, and Cypress.</li></ul><div><br><em>Automation &amp; Continuous Integration<br></em><br></div><ul><li>Build and maintain automated test suites using tools such as Selenium, Postman, Cypress, or similar.</li><li>Integrate automated testing into CI/CD pipelines to improve deployment confidence and reduce regressions.</li><li>Maintain documentation of automated test coverage and ensure it aligns with evolving codebases.</li></ul><div><br><em>Bug Reporting &amp; Quality Metrics<br></em><br></div><ul><li>Log detailed bug reports and track resolution through tools such as GitHub Issues or Jira.</li><li>Proactively identify edge cases and inconsistencies in user flows, business logic, and API responses.</li><li>Collaborate with team members to improve processes that ensure scalable and sustainable quality assurance practices.</li></ul><div><br><em>Collaboration &amp; Documentation<br></em><br></div><ul><li>Partner with the product and UX teams to understand acceptance criteria and ensure test cases align with user expectations.</li><li>Maintain clear and up-to-date QA documentation, including test cases, testing processes, and release notes.</li><li>Participate in sprint planning, retrospectives, and release meetings, representing QA priorities and timelines.</li></ul><div><br><strong>Skill Requirements for the Role<br></strong><br></div><ul><li>Bachelor’s degree in Computer Science, Information Technology, or related field—or equivalent work experience.</li><li>3+ years of experience in software QA or test engineering.</li><li>Strong understanding of QA methodologies, tools, and processes for web and mobile applications.</li><li>Hands-on experience with test automation frameworks and scripting languages.</li><li>Familiarity with RESTful APIs and tools like Postman or Swagger for API testing.</li><li>Experience working within Agile/Scrum environments.</li><li>Excellent problem-solving, critical thinking, and communication skills.</li></ul><div>&nbsp;<br><strong>Bonus Skills<br></strong><br></div><ul><li>Experience testing in cloud-based environments (AWS, GCP, or Azure).</li><li>Familiarity with database testing and writing basic SQL queries.</li><li>Exposure to testing Salesforce and HubSpot workflows, forms, or APIs.</li><li>Background in nonprofit or faith-based organizations.</li><li>Experience with basic application/API security testing.</li></ul><div>&nbsp;</div><div><strong>Additional Requirements<br></strong><br></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><strong>To Apply<br></strong>If you have a passion for leading both innovation and support in a mission-driven technology environment, 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.&nbsp;<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!<br><br></div>

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