<div>GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist, NPR, TED, and The Washington Post. We are one of Time100’s Most Influential Companies of 2026. <br><br></div><div>Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do. If they resonate, this could be a great fit!<br><br></div><div><strong>Location: Remote, with a requirement to overlap with an East Africa timezone by at least 3 hours. </strong>We can only employ people in certain places at the moment, so it's worth checking our <strong>current list of eligible countries</strong> to see if yours is included. If you're based elsewhere, it's not an automatic no, but do flag it early with your recruiter. <strong>We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.</strong><br><br></div><div><strong>About this role</strong></div><div>GD moves cash directly into the hands of people living in poverty, often in contexts with limited infrastructure and oversight. Protecting that cash from fraud — whether attempted by external bad actors, field staff, or recipients — is core to our mission and to donor trust. Internal Audit is GD's second line of defense against fraud, and this role sits at the center of it.<br><br></div><div>We're looking for a Data Analyst who can turn raw operational, payments, and enrollment data into a clear picture of where fraud risk is emerging across our programs, translate those patterns into recommendations that change how projects are designed, and partner with our Product team to build the tools that help us catch fraud earlier and more reliably. You'll move fluidly between deep analysis, clear storytelling to stakeholders who aren't data specialists, and hands-on collaboration with engineers and product managers.<br><br></div><div>This role sits within Internal Audit but has a dotted reporting line to the Director of Data in order to ensure we meet the organisational technical quality bar and standardise analytical and engineering practises and ways of working across the organisation. Internal Audit owns fraud-risk questions, indicator definitions, investigative analysis, and interpretation, while the central Data team owns shared data infrastructure, production pipelines, governed data models, and platform standards. The analyst bridges the two: contributing domain requirements, validation, and quality assurance, and ensuring this work aligns with organization-wide analytical and engineering practices. <br><br></div><div>You are as comfortable in a spreadsheet or SQL console as you are in a room with country program leads explaining why a trend matters and what to do about it. You default to evidence over instinct, but you know that a good insight is only useful if someone acts on it.<br><br></div><div><strong>What you'll do</strong></div><ul><li><strong>Analyze fraud risk trends:</strong> Mine enrollment, payment, survey, and field-operations data to identify patterns, anomalies, and emerging fraud typologies (e.g., duplicate enrollments, collusion, identity fraud, diversion of funds) across GD's programs and geographies.</li><li><strong>Design and oversee fraud-risk indicators:</strong> Build, validate, and maintain recurring monitoring in partnership with central data and operational control owners.</li><li><strong>Identify data quality issues</strong> in data currently collected by Internal Audit, and help design and implement process improvements to resolve them.</li><li><strong>Embed data-driven thinking into IA design:</strong> Identify fraud-related decisions where GiveDirectly should be more data-driven, and incorporate this into Internal Audit process design.</li><li><strong>Translate findings into action:</strong> Package analysis into clear, credible briefs and presentations for country teams, operations leadership, and senior management, with concrete recommendations for reducing fraud risk.</li><li><strong>Support fraud investigations:</strong> Provide data pulls, quantify exposure, and help reconstruct events for specific cases — ensuring analysis is reproducible and audit-ready, with documented queries, data lineage, assumptions, exclusions, and QA checks.</li><li><strong>Partner with Product and Central Data on fraud-detection tooling:</strong> Translate validated risk signals into product requirements, contribute domain expertise and acceptance criteria, and test whether controls operate as intended — while maintaining clear ownership and independence boundaries.</li><li><strong>Partner with Data Engineering</strong> on upstream data quality and pipeline improvements, while owning the downstream analytical layer.</li><li><strong>Strengthen methodology over time:</strong> Back-test risk indicators against investigated cases, monitor precision, coverage, and false-positive rates, and refine based on outcomes and emerging risks.</li><li><strong>Communicate uncertainty honestly:</strong> Distinguish confirmed fraud from suspicious-but-unconfirmed patterns, helping stakeholders make decisions without overstating findings.</li></ul><div><strong>What you'll bring</strong></div><ul><li>4+ years of experience in data analysis, audit, risk, or a related analytical role; experience in internal audit, fraud/forensics, or a nonprofit/development context is a plus but not required.</li><li>Strong SQL skills and comfort working directly in large, sometimes messy operational datasets (Salesforce data, payments data, survey data).</li><li>Experience using Python for reproducible analysis, automation, record linkage, anomaly investigation, or data-quality testing is strongly preferred.</li><li>Familiarity with analytical notebooks, version control, and documenting analysis so it can be reviewed and reproduced by others is a plus.</li><li>Experience with visualization tools (e.g., Looker, Tableau, Power BI) and/or Python/R for analysis.</li><li>Demonstrated ability to turn ambiguous, exploratory analysis into a clear, defensible narrative for non-technical stakeholders.</li><li>Experience or strong interest in working cross-functionally with product and engineering teams to translate analytical needs into product requirements.</li><li>Sound judgment on evidence quality: knowing the difference between a real signal and noise, and communicating that distinction transparently.</li><li>High integrity and discretion — this role will have visibility into sensitive information about staff, recipients, and active investigations.</li><li>Alignment with GiveDirectly's values, including prioritizing recipient wellbeing above all else.</li></ul><div><strong><strong>Compensation</strong></strong></div><div>At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy <strong>here</strong>.<br><br></div><div>Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.<br><br></div><div><strong>United States</strong><br><br></div><ul><li><strong>Base Salary:</strong> $107,070</li><li><strong>Bonus at Target Performance:</strong> 10% (~$10,707, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $12,527 in 2025)</li><li><strong>Estimated Total Compensation at Target: $117,777</strong></li><li><strong>Annual Benefits Stipend:</strong> $21,393</li></ul><div><strong>United Kingdom</strong><br><br></div><ul><li><strong>Base Salary:</strong> £70,250</li><li><strong>Bonus at Target Performance:</strong> 10% (~£7,025, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be £8,219 in 2025)</li><li><strong>Estimated Total Compensation at Target: £77,275</strong></li><li><strong>Annual Benefits Stipend:</strong> £2,760</li></ul><div><strong>Kenya</strong><br><br></div><ul><li><strong>Base Salary:</strong> $72,550</li><li><strong>Bonus at Target Performance:</strong> 10% (~$7,255, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $8,488 in 2025)</li><li><strong>Estimated Total Compensation at Target: $79,805</strong></li><li><strong>Annual Benefits Stipend:</strong> $0</li></ul><div>This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. <br><br></div><div><strong><strong>Why work at GiveDirectly?</strong></strong></div><div>At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:<br><br></div><ul><li>A supportive team that works hard and cares hard</li><li>A robust health benefits plan (exact details will vary by country)</li><li>Flexible paid time off that staff is encouraged to take</li><li>Allowances for desk set-up and learning and development</li></ul><div> #LI-REMOTE<br><br></div><div><strong>Working at GiveDirectly</strong><br><br></div><div>GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.<br><br></div><div><em>Flagging for US applicants:</em> We invite you to "Know Your Rights" as an applicant.<br><br></div><div><strong>Commitment to Safeguarding</strong><br><br></div><div>As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.<br><br></div><div>These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.<br><br></div><div>**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**<br><br></div><div><strong>Reasonable Accommodations</strong><br><br></div><div>We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.<br><br></div><div><strong>Want to put your best foot forward on your GiveDirectly application?</strong> Take a look at our Candidate Application Prep Guide<strong>!</strong><br><br></div><div><strong><strong>Referrals</strong></strong></div><div>Know the right person for this role? Please consider <strong>referring them</strong>. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!<br><br></div> Departments: Internal Audit

Data Analyst, Internal Audit

<div>Indiana Wesleyan University is seeking experienced Adjunct Faculty to teach undergraduate and graduate applied A.I. courses in an online, asynchronous format. Additional opportunities exist to teach international student courses in a hybrid format, which includes online coursework and a two-day in-person session located in Merrillville, IN or Dallas, TX.<br><br>We are seeking faculty with a Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related course work and recent experience in applied A.I. and data analytics. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered.<br>&nbsp;</div><div><strong>Duties and Responsibilities</strong></div><ul><li>Perform instruction related duties and responsibilities in a timely manner and in accordance with the mission, policies and procedures of the college.</li><li>Employ a range of suitable strategies to foster student learning, stimulate class discussions, encourage active learning in all students, maintain proper class related records, promptly assess student coursework, and apprise students of progress.</li><li>Articulate, current within his or her discipline, and demonstrate a passion for teaching and learning with related professional experience.</li><li>Incorporate Biblical principles into the content area</li><li>Communicate with all IWU constituents in a professional and academic manner. - (Essential)</li></ul><div>&nbsp;</div><div><strong>Education</strong></div><ul><li>Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related field. Or a Doctorate at 18 graduate hours in the field. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered.</li></ul><div><br><strong>Experience</strong></div><ul><li>5+ years of experience in A.I., data science, and/or the integration of emerging technology into the business environment. This may include cross-disciplinary experience into technology application in particular fields such as healthcare, finance, manufacturing, business, and education.</li><li>Prior teaching experience preferred.</li><li>Applicants with at least five years of relevant work experience in Data Analytics/Science, Computer Science, Artificial Intelligence,</li><li>Information Technology are invited to apply. Teaching experience in cross-cultural settings preferred (not required)</li></ul><div><br><strong>Required Skills</strong></div><ul><li>Ability to model an active and mature personal faith in Jesus Christ</li><li>Demonstrated subject matter expertise and active involvement in continuous education/scholarship in the field</li><li>Passion and ability to teach effectively, including effective written and verbal communication</li><li>Ability to motivate and connect with students of diverse ages, cultures, and backgrounds</li><li>Ability to be engaged, reliable, and professional in a distributed work environment</li><li>Proficiency in MS Office products and online Learning Management software</li></ul>

Adjunct Faculty, Artificial Intelligence and Analytics

<h3>About the Company</h3><p>Logos is a purpose-driven tech company dedicated to building technology solutions that equip the church to grow in the light of the Bible. Our team is committed to increasing biblical literacy and accessibility for every Christian around the world. We do so by delivering value along three fronts: software tools, community collaboration, and rich digital content. Based in Bellingham, Washington, Logos also has operations in Chandler, Arizona and Puebla, Mexico.</p><h3>About the Role</h3><p>We're looking for a Data Scientist to join our Analytics team, reporting to the Director of Analytics and Data Science. You'll work as a peer to our Staff Data Scientist, jointly owning the data science function at Logos—predictive modeling, experimentation, and the recommendations work that shapes how hundreds of thousands of customers discover and use our products.</p><p>This is a role with real ownership. You will decide how to approach problems, what methods fit, and—just as importantly—what isn't worth doing. We're a lean team inside a company in the middle of a significant data transformation, which means the work is broad and the impact is visible, but it also means we need someone who brings their own judgment rather than waiting for direction.</p><p>We're results-driven, not academic. A model or analysis is only good if it measurably reduces churn, increases usage, or drives revenue. Methodological elegance that doesn't move a business metric isn't a win here.</p><h3>Responsibilities</h3><ul><li>Own data science projects end to end—problem framing, method selection, modeling, validation, and presenting results to the leaders who will act on them.</li><li>Ship data science work as certified, production-ready data products: models, scores, and features that other teams can trust and build on.</li><li>Design, run, and interpret experiments, including hypothesis formulation, sizing, and honest reads on inconclusive results.</li><li>Build and maintain predictive models and analytical pipelines in Python or R, SQL, and dbt on Databricks.</li><li>Help set the data science roadmap alongside the Staff Data Scientist and the Director, including pushing back when a request won't produce value.</li><li>Partner with Data Champions, the embedded analysts distributed across our business teams, so that data science output gets adopted rather than just delivered.</li><li>Work with the Data Platform team to validate data quality and the reliability of upstream data products.</li><li>Mentor analysts and less experienced team members, and contribute to code review and team standards.</li><li>Keep documentation and reproducible code current enough that a colleague could pick up your work without you in the room.</li></ul><h3>Requirements</h3><ul><li>4–7 years of professional experience in data science, applied statistics, or a closely related quantitative field.</li><li>A track record of owning projects independently, from ambiguous ask through delivered result, without daily oversight.</li><li>A results-driven mindset: you judge your own work by measurable business impact—churn, usage, revenue—and you can tell when a model isn't earning its keep.</li><li>Strong SQL and fluency in Python or R.</li><li>Solid grounding in statistics and experimental design, including knowing the limits of what a given test can tell you.</li><li>The judgment to prioritize: deciding what to work on, what to defer, and what to decline.</li><li>Excellent communication skills, with the ability to explain technical work to non-technical audiences and to hold your position when the data supports it.</li></ul><h3>Preferred Requirements</h3><ul><li>Experience as the only data scientist—or one of very few—on a team, where you had to operate without a technical safety net.</li><li>Hands-on experience with Databricks and dbt.</li><li>Exposure to production ML systems, recommendation engines, or MLOps practices.</li><li>Experience in a subscription or SaaS business, particularly around churn, retention, and usage analytics.</li><li>Familiarity with a data mesh or distributed analytics operating model.</li></ul><h3>Why This Role</h3><p>Data science at Logos is small, which means your work is not one input among dozens—it is the data science capability of the company. You'll have latitude to shape how the function operates, a Staff Data Scientist to think alongside, and a Director who will back your judgment. As the team and the company's data maturity grow, so does the scope available to you.</p><h3>Benefits</h3><ul><li>Competitive family medical, dental, vision, and life insurance</li><li>3 company-paid holidays per year in addition to regular holidays</li><li>4 days of paid time off (PTO) per year</li><li>Paid time off (PTO) on your birthday</li><li>Law benefits (15-day Christmas bonus, vacation days established by law, 25% vacation bonus)</li><li>Awards and recognition program</li></ul>

Data Scientist

<h3>Job Description</h3><p>Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.</p><p>Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.</p><h3>Overview</h3><p>The Professional/Individual Contributor Staff member is responsible for performing work responsibilities, building relationships, and sharing expertise and experience as he/she contributes to specific bodies of work, builds connections, and optimizes performance.</p><p>As a Senior Lead Data Engineer, you will be responsible for leading complex project work as a part of a larger cross-functional team in support of Supply Chain. Sr. Lead Data Engineers typically design, implement, maintain, and optimize necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs. You must have a general understanding of Supply Chain operations and be able to quickly develop mastery of the needed subject area across Supply Chain.</p><p>Our Senior Lead Data Engineers work with wide latitude for action or decisions on projects that are more complex and cross-functional in nature. They serve as technical anchors within one or more product areas or platform capabilities, applying advanced knowledge to outcomes of complexity and providing technical leadership and consultation to peer engineers on the design patterns, modeling standards, and testing frameworks that keep data products consistent, scalable, and aligned to enterprise standards. They act as a subject-matter expert and resource on data and/or analytics technology, and they may represent SCDA in external conversations. They also assist with the selection or oversight of outside vendor partners. They are expected to influence the project execution of IT and analyst teams. Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and Python.</p><p>We expect our Senior Lead Data Engineers to have demonstrated fluency in both the technology language of IT and the analyst language of Supply Chain. They bring deep experience developing and implementing data models for analytic use and strong proficiency with cloud database architecture. They apply seasoned judgment to ambiguous, multi-source data problems, balancing performance, cost, and maintainability, and they work steadfastly with cross-functional partners to create impactful change.</p><h3>Responsibilities</h3><ul><li>Exhibits wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.</li><li>Develops ETL pipelines for Supply Chain consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.</li><li>Develops tool, data, and analytics best practices for SCDA and advises on their integration into operational practices.</li><li>Designs specific tool implementations, understanding Databricks, DBT, and cloud compute performance requirements and expectations.</li><li>Helps design patterns for efficient use of cloud compute resources.</li><li>Drives architecture decisions and establishes the technical approach for the product area, balancing performance, cost, and maintainability on ambiguous, multi-source data problems.</li><li>Defines design patterns, modeling standards, and testing frameworks for the product area, and leads design reviews to guide engineering work across the team.</li><li>Provides technical direction and mentorship to peer engineers, building capability across the product area without requiring managerial oversight.</li><li>Owns and is accountable for data model and code quality and any relevant documentation.</li><li>Acts as a technical anchor for one or more product areas or platform capabilities, owning end.</li><li>Implements data governance and master data management principles across specific project execution.</li><li>Acts as a subject matter expert and resource on data and/or analytics technology issues for the larger SCDA community.</li><li>Drives complex projects to success and enables others to own the impact.</li><li>Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use.</li></ul><h3>Required Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has strong analytical and data modeling skills</li><li>Has a deep understanding of cloud database technology</li><li>Has a deep understanding of analytic platform data use</li><li>Has strong programming skills in SQL and Python</li><li>Has experience developing and implementing data models for analytic use</li><li>Has moderate experience with cloud database architecture</li><li>Has the skill to partner with cross-functional teams using strong written and verbal communication</li><li>Fast learner and proven problem solver</li><li>Keen eye for system thinking and process design, especially with respect to scalability and automation</li><li>Keen eye for detail and thoughtful investigation of data</li><li>Has a steadfast focus on creating impactful change</li></ul><h3>Preferred Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has some experience using the AWS big data technology stack</li><li>Has extensive experience with Databricks, dbt, Snowflake, or similar distributed platforms</li><li>Has extensive experience with Tableau or similar data visualization tools</li><li>Has some experience implementing data governance principles</li><li>Has experience defining engineering standards, design patterns, or leading design reviews for peer engineers within a product area or discipline</li></ul><h3>Required Years of Experience</h3><p>5</p><h3>Preferred Years of Experience</h3><p>10</p><h3>Travel Requirements</h3><p>10%</p><h3>Required Level of Education</h3><p>Bachelor's Degree</p><h3>Preferred Level of Education</h3><p>Master's Degree</p><h3>Required Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Preferred Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Relocation Assistance Provided</h3><p>No</p>

Sr. Lead Data Engineer

<h2>Senior AI Developer &amp; Technical Lead</h2><p>Remote (Global)</p><p>Full-time</p><h2>The Opportunity</h2><p>We're looking for a Senior AI/Backend Developer with deep expertise in Python, backend systems, and AI agent frameworks to join our studio team as both a technical contributor and mentor. As a player-coach, you'll split your time between hands-on development and leading our team of developers—helping set technical direction, mentoring junior talent, and ensuring best practices across our ventures.<br><br>You'll help build and scale AI-powered applications across multiple ventures while guiding a distributed team of 3-5 developers through technical challenges and career growth. This role focuses on strengthening human relationships through technology, both in the products we build and the team culture we foster.<br><br>This is a full-time, fully remote role working within a small studio of 10-15 passionate builders yearly launching three new redemptive AI ventures in partnership with Praxis.</p><h2>Who We Are</h2><p>Sprout AI is pursuing a relational renaissance through venture building. We partner with exceptional entrepreneurs to create AI ventures that deepen authentic human connections in an increasingly digital world. Our founding team combines decades of proven commercial success with a powerful redemptive vision for how entrepreneurs can address the major issues of our time.</p><h2>What You'll Do</h2><h3>Technical Contribution (60-70%)</h3><ul><li>Design and develop intelligent agent systems and backend services that scale</li><li>Build multi agent systems using LangGraph, Open AI Agents SDK, etc.</li><li>Fine-tune and deploy models, manage training datasets, and maintain performance</li><li>Integrate backend functionality with web/mobile frontends (React, Next.js)</li><li>Stay on the leading edge of evolving coding agents and AI-assisted development tools and workflows (Cursor, Codex, Claude Code, etc)</li><li>Support 2-3 ventures per year, contributing across prototype, MVP, and launch phases</li></ul><h3>Leadership &amp; Mentorship (30-40%)</h3><ul><li>Mentor and guide 3-5 developers of varying experience levels, helping accelerate their technical growth</li><li>Take lead on making key architecture and tech stack decisions across our startup ventures</li><li>Help prioritize technical work across the team, balancing immediate needs with long-term architecture</li><li>Serve as the go-to technical resource for problem-solving and architectural decisions</li><li>Foster a culture of learning, experimentation, and continuous improvement</li><li>Work asynchronously across time zones, ensuring smooth handoffs and clear communication</li></ul><h2>Our Development Approach</h2><p>We embrace an AI-augmented development process that maximizes creativity and efficiency:</p><ul><li>Rapidly prototype concepts using tools like V0, Lovable, etc</li><li>Develop applications using AI-assisted coding with Cursor, Codex, Claude Code</li><li>Deploy and iterate quickly using Railway, Vercel, Replit, and Lambda Labs H100s</li><li>Focus on building what matters through rapid experimentation and validation</li></ul> <h2>What We're Looking For</h2><h3>Required:</h3><ul><li><strong>7+ years of experience building production-grade web/backend applications</strong></li><li><strong>2+ years of experience mentoring developers or leading technical teams</strong></li><li>Strong experience with backend development in Python (Flask, FastAPI, etc.)</li><li>Experience with API design, microservices, and relational/non-relational databases</li><li>Knowledge of cloud-based deployment, CI/CD pipelines, and DevOps basics</li><li>Familiarity with AI agent frameworks (e.g., LangGraph) and LLM RAG implementations</li><li>Demonstrated ability to explain complex technical concepts clearly</li><li>A proactive, builder mindset and the ability to work independently while supporting others</li><li>Bachelor's degree in Computer Science or related field</li><li>Strong written and verbal communication skills in English</li></ul><h3>Preferred:</h3><ul><li>Experience fine-tuning models and building/managing datasets</li><li>Understanding of security best practices, performance optimization, and API scaling</li><li>Previous experience in startup or venture-building environments</li><li>Excitement about working on projects that restore and deepen human connection</li></ul><h2>Why Join Us</h2><ul><li>Build AI-first products that positively impact human relationships</li><li>Shape the technical culture and growth of a talented development team</li><li>Collaborate with ambitious founders across multiple ventures each year</li><li>Be part of a lean team redefining product development with AI</li><li>Enjoy flexibility and autonomy in a globally distributed team</li><li>Work on real problems with real societal stakes—from 0 to 1</li><li>Grow your leadership skills while maintaining hands-on technical work</li></ul><h2>Our Culture</h2><p>We're builders and innovators at heart, exploring how technology can be applied redemptively rather than accepting the status quo. While we set audacious targets, we remain committed to a posture of humility. We balance high standards with grace, knowing that building ventures requires iteration and learning.</p><p>We value mentorship and believe that growing others is as important as shipping code. We're looking for someone who finds energy in both solving hard technical problems and helping others do the same.</p><h2>How to Apply</h2><p>If you're passionate about using AI to deepen human connection, enjoy mentoring others, and want to build ventures that matter, we'd love to meet you.</p><p>Complete the application below to tell us more about yourself.</p>

Senior AI Developer & Technical Lead

<strong>ABOUT US</strong><br>Compassion is looking for a DevOps AWS expert who is passionate about making an eternal difference utilizing technology. We need someone who can join our other AWS staff in managing and maturing our AWS platform, while still mentoring our internal customers to pursue ever increasing value from AWS utilizing strong DevOps practices!<br><br><strong>WHAT WILL YOU DO?</strong><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.</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.</li><li>Matures DevOps disciplines and champions the lean agile mindset for major initiatives regarding issues such as Test Driven Development, flow, and systems thinking.</li><li>Continually improves integration of complex infrastructure builds with application deployment processes across major projects and systems.</li><li>Troubleshoots complicated technical problems relating to information systems, providing insight and guidance to other specialists.</li><li>Analyzes, designs and evaluates large automation scripts and systems.</li><li>Researches new technologies that will be efficient, effective, and highly scalable.</li><li>Coaches and provides expertise, and may oversee the work of other professionals and support staff in the business analysis discipline.</li></ul><br><strong>WHAT DO YOU BRING?</strong><ul><li><strong>AWS production experience</strong> — Extensive experience operating and optimizing AWS environments at scale</li><li><strong>Cloud Operations</strong> — Deep understanding of AWS Cloud Operations life cycle management including security, governance, compliance, and disaster recovery models</li><li><strong>Landing Zone Accelerator (LZA)</strong> — Hands‑on experience implementing and operating AWS Landing Zone Accelerator (LZA), including governance, multi‑account architecture, security controls, and automation patterns</li><li><strong>AWS Lattice & advanced networking</strong> — Experience designing and operating service‑to‑service communication using AWS Application Networking (AWS Lattice), including secure connectivity, traffic routing, service mesh patterns, cross‑account communication and hybrid networking.</li><li><strong>AI/ML platform engineering</strong> — Experience driving innovation by integrating AI/ML capabilities into AWS platform engineering, including designing and maintaining foundational services. Skilled at leveraging AI to enhance operational efficiency, accelerate delivery workflows, and improve platform reliability.</li><li><strong>Automation expertise</strong> — Strong automation skills, eliminating manual work whenever possible, e.g., Infrastructure as Code, pipelines, and operational scripting</li><li><strong>Workload migration</strong> — History of migrating complex workloads onto AWS</li><li><strong>Kubernetes & Serverless</strong> — Ability to design, build, and operate workloads in Kubernetes and AWS serverless architectures</li><li><strong>Python engineering</strong> — Strong Python development skills for operational tooling, automation scripts, and AWS Lambda functions</li></ul><br><strong>WHY WORK HERE?</strong><ul><li><strong>The mission:</strong> Join a team that is motivated to release children from poverty in Jesus’ name.</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 more.</li><li><strong>Spiritual growth:</strong> Participate in regular chapel services, prayer groups, and department devotionals.</li></ul>

Sr. DevOps Engineer

<div><strong>Senior Data Scientist</strong></div><div><br>Givelify is a fintech-for-good company where brilliant minds come to power the most loved and trusted online and mobile giving app platform. Thanks to over 2 million generous donors, we’ve helped more than 80,000 nonprofits and places of worship raise over $7.5 billion. Together, they’re changing their world with kindness and generosity.&nbsp;</div><div><br>Inc. 5000, the Stevies® Awards, Gartner, Forbes, and many more have recognized our story, innovations, and achievements. Our award-winning team builds products and experiences that put more good into the world. We love to take on big challenges because we know our work matters. &nbsp;<br><br></div><div>Make an impact at one of the fastest-growing private companies in the U.S. Be part of a talented team of big-hearted individuals, earning competitive pay with excellent benefits.&nbsp;<br><br></div><div><strong>About your role </strong>&nbsp;<br><br></div><div>We're seeking a Senior Data Scientist to be an early and foundational member of a growing Data Science &amp; Insights team — with a focus spanning product and business analytics at Givelify. Reporting to the Head of Data Science &amp; Insights, you will work across the full analytics stack — dashboards, metrics, experimentation, and modeling — with an immediate focus on building the business intelligence infrastructure that gives Givelify transparent, reliable visibility into how the organization is performing.&nbsp;<br><br></div><div>This is a generalist senior individual contributor role by design. As the team grows and specialization becomes possible, your focus will evolve with it. For now, breadth is the asset — you are someone who can move fluidly across problem types and deliver rigorously wherever you land.&nbsp;<br><br></div><div><strong>Your Team</strong></div><div><br>You will be part of the Data Science &amp; Insights team — driving experimentation, analytics, and modeling at the frontier of behavioral science and fintech, tackling problems most data teams never encounter. We translate the complexity of human generosity into rigorous, measurable insight that shapes products and decisions at scale.&nbsp;</div><div><strong><br>Senior Data Scientist will get to:</strong></div><ul><li>Own the development of org-wide business dashboards that provide transparent, reliable insight into company performance, functional health, and execution velocity — the infrastructure that helps Givelify understand how it is operating at any moment.&nbsp;</li><li>Partner with cross-functional teams to define, instrument, and maintain the metrics that matter — ensuring the right things are being measured, consistently and trustworthy.&nbsp;</li><li>Partner with Product and cross-functional teams to design and execute rigorous A/B and multivariate experiments that establish causation before solutions launch — embedding an experiment-first mindset into how Givelify builds and decides.&nbsp;</li><li>Work alongside the Data Science &amp; Insights team to continuously raise the bar on experimentation at Givelify — tackling hard methodological challenges like measuring the impact of experience-driven features, managing concurrent experiments, and developing approaches that make rigorous testing possible even where it has historically been difficult.&nbsp;</li><li>Build predictive and behavioral models that deepen understanding of donor and organizational behavior — segmentation, churn, propensity, and beyond.&nbsp;</li><li>Translate complex analytical findings into clear, decision-ready recommendations for executives and cross-functional stakeholders.&nbsp;</li></ul><div><strong><br>To be successful in this role, you’ll also:&nbsp;</strong></div><ul><li>Own your outcomes completely — you hold yourself accountable for scoping, delivery, and impact, and you execute collaboratively, knowing the best analytical work at Givelify is built with teams, not in isolation.&nbsp;</li><li>Proactively surface opportunities to bring experimentation and causal rigor to decisions across the organization — making the experiment-first mindset contagious.&nbsp;</li><li>Bring stakeholders into the analytical process early and continuously — from question definition through to recommendation — so that insights translate into action.&nbsp;</li><li>Lead with expertise and invest in others — as an early member of a growing function, your impact extends beyond your own output to how the team gets better.&nbsp;</li></ul><div><strong><br>Your experience:&nbsp;</strong></div><ul><li>5–8+ years of experience in data science, business intelligence, applied statistics, or advanced analytics&nbsp;</li><li>Master's or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometrics, or a related quantitative field&nbsp;</li><li>Strong track record building business dashboards and insight systems that drive operational visibility and executive decision-making&nbsp;</li><li>Solid experience with experimental design and causal inference — A/B testing, power analysis, difference-in-differences, propensity methods — and translating results into business decisions&nbsp;</li><li>Strong background in predictive and behavioral modeling — regression, classification, segmentation, time series, gradient boosting — with a focus on business application&nbsp;</li><li>Expert in SQL; advanced proficiency in Python (pandas, scikit-learn, statsmodels, PySpark) and/or R&nbsp;</li><li>Hands-on experience with modern data stacks, Databricks preferred; broader fluency with modern data stacks essentials&nbsp;</li><li>Comfortable working across problem types — you don't need a narrow lane to do excellent work&nbsp;</li><li>Practical fluency using AI/LLM tools to accelerate analytical work (e.g., exploratory analysis, code assistance, documentation), along with an understanding of responsible AI use and data governance &nbsp;</li></ul><div><strong><br>Your superpowers:&nbsp;</strong></div><ul><li>You influence through evidence and storytelling — you don't just analyze; you move people and decisions with what you find&nbsp;</li><li>You translate ambiguity into clarity — where others see a messy question, you see an analytical path forward&nbsp;</li><li>You are data-informed, not data-driven — you know that data illuminates decisions, and you bring analytical rigor and human judgment in equal measure&nbsp;</li><li>You are a custodian and evangelist of causal rigor — you champion well-designed, preemptive experiments as the gold standard for knowing what works, and you carry that conviction into every analytical conversation&nbsp;</li><li>You are a player-coach — you lead with expertise, build strong processes, and make the people around you better&nbsp;</li><li>You are energized by being early — you find building more exciting than inheriting a mature function&nbsp;</li><li>You are comfortable with a shifting focus — you thrive when priorities evolve and don't need a narrow lane to do excellent work&nbsp;</li></ul><div><strong><br>Our culture:</strong>&nbsp;</div><div>We are a virtual team of award-winning and high-performing professionals who innovate and collaborate to fulfill our mission to instantly connect people to causes that matter most to them so they can change their world with kindness and generosity. Our four keys to success - integrity, heart, simplicity, and wow - fuel our passion to be recognized among the tech industry’s most inclusive and purpose-driven workplaces. &nbsp;<br><br></div><div>We are steadfast in our conviction to overcome challenges while performing meaningful work alongside some of the most brilliant minds and biggest hearts. It propels our growth as individuals and as a team. We are committed to respecting each other in our workplace, firmly believing diversity is our strength.&nbsp; &nbsp; &nbsp;</div><div><br>At the heart of everything we do are our giving community, our donors and our partner organizations. We lean on research and human-centered design to consistently push the envelope and innovate our products and customer experiences. &nbsp;</div><div><br>We take great pride in providing competitive pay, full benefits to help care for you today and in the future, amazing perks (including flexible PTO), and, most importantly, the opportunity to put passion and purpose front and center.&nbsp;<br><br></div><div><strong>About Givelify</strong></div><div>Givelify is the most loved and trusted online and mobile giving platform. Along with its powerful donation management system, it’s the fastest-growing technology for advancing generosity in the world. We instantly connect people to their heart’s impulse to do good with award-winning products and experiences. A global community of over 2 million generous people supports their favorite churches, places of worship, nonprofits, and causes with over $7.5 billion in donations across more than 80,000 organizations. Givelify leads all giving apps on the App Store and Google Play Store with more than 135,000 verified, authentic reviews with an average 4.9 out of 5-star rating.</div>

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