<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

<h3>Job Summary and Responsibilities</h3><p>As our Principal Software Engineer, you will create and enhance complex applications, identifying opportunities and implementing solutions that meet end-user needs and business goals.</p><p>Every day, you will work on multiple high-complexity solutions, troubleshooting and resolving intricate software problems. You will provide technical guidance to engineering teams, oversee project contributions, serve as a subject matter expert, and mentor software engineers.</p><p>To be successful, you will demonstrate exceptional software design and coding expertise, strong problem-solving skills, and proven leadership in technically guiding and mentoring teams. Excellent communication skills for conveying complex technical concepts and a commitment to innovation are essential.</p><ul><li>Provide technical guidance in software design and development activities.</li><li>Assist with maintenance and upgrades of existing software applications.</li><li>Participate in design reviews and recommend improvements.</li><li>Provide support throughout all phases of the software development life cycle (SDLC) and ensure delivery of high-quality products.</li><li>Provide training and mentorship to other engineers as needed.</li><li>Analyze and troubleshoot application issues in a timely manner.</li></ul><h3>Job Requirements</h3><p><strong>Required</strong></p><ul><li>Bachelor of Science degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent software development experience.</li><li>7+ years of job-related experience and 8+ years of experience as a Senior Software Engineer.</li><li>Experience serving as an Adobe Journey Optimizer (AJO) engineer.</li><li>4+ years of experience completing technical implementations, data architecture, and system integrations to power real-time customer journeys.</li><li>Experience creating and managing XDM (Experience Data Model) schemas for profiles and experience events.</li><li>Experience setting up identity namespaces and rules to connect customer data across devices, including email, cookies, and mobile IDs, into a unified Real-Time Customer Profile.</li><li>Experience building and monitoring both batch (CSV/database) and streaming (real-time API) data ingestion pipelines to ensure data accuracy and quality.</li><li>Experience implementing the Adobe Experience Platform Web SDK and Mobile SDK for iOS and Android to capture user behavior and trigger in-app or push notifications.</li><li>Experience configuring events and triggers that move customers through journeys based on real-time signals, such as abandoned carts or location-based check-ins.</li><li>Experience developing REST API endpoints that Adobe Journey Optimizer can call to send data to third-party systems such as Slack, loyalty platforms, or external SMS providers.</li><li>Experience managing development, staging, and production sandboxes and user permissions.</li><li>Experience setting up email subdomains, IP warming strategies, and mobile push credentials.</li><li>Experience applying labels and policies to support CCPA compliance.</li><li>Experience using Adobe Experience Platform Assurance to inspect SDK events and troubleshoot failed journey triggers.</li><li>Experience writing SQL queries in AEP Query Service to analyze journey bottlenecks, error rates, and delivery success.</li><li>Experience implementing frequency capping to prevent over-messaging customers and protect downstream system performance.</li></ul><p><strong>Preferred</strong></p><ul><li>Master's degree.</li></ul><h3>About the Company</h3><p>Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation’s largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites, and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses, and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits, and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system.</p>

IT Principal Software Engineer

<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>Position Description</h3><p>Edify promotes holistic and high-quality Christ-centered education in partnership with low-fee independent Christ-centered schools. The Salesforce Systems and Engagement Officer is a full-time position that will thrive in a challenging, innovative, and empowering mission-focused work environment. This role will play a hybrid role that balances technical data execution with user-facing training and support across our Latin America operations. As Edify continues to scale, this position bridges the gap between the technical backend (automation, SQL, and database management) and staff enablement (training, onboarding, and adoption.</p><p>This role is designed as a blend of technical and user enablement work: some of your time will be focused on technical sustainability, system configurations, and exploring programmatic solutions, and some will be dedicated to empowering our field staff in Latin America, running training sessions, and translating user feedback into clear system improvements. This position reports to the Salesforce Lead and will work closely with our Salesforce Engagement Officer in Africa.</p><h3>Work Environment</h3><p>This position will be full-time based in any of Edify operational countries in Central or South America, reporting to the Salesforce Lead. The atmosphere of Edify is one where you can expect to perform widely varied tasks related to the role.</p><h3>Travel Expectation</h3><p>The position requires the ability to travel as needed. Up to 25% travel may be required for regional/global conferences, gathering field feedback, or training staff. In addition to regional travel, Edify holds an annual all-staff meeting, alternating in a US-based or international location each year. Travel would be required to attend this meeting.</p><h3>Primary Responsibilities:</h3><ul><li>Technical Administration & Data Engineering</li></ul><ul><li>AppExchange & Tech Stack Management: Assist in the administration, troubleshooting, and optimization of Edify’s third-party Salesforce ecosystem and integrated packages. This includes managing forms (FormAssembly), offline mobile data collection tools (Taroworks), document generation apps (PDF Butler), and learning management systems (IDE/TalentLMS).</li><li>Data Auditing & SQL/SOQL: Utilize SQL/SOQL to query databases, troubleshoot data inconsistencies, and audit data integrity/hygiene. Master Bulk Import Tools and/or Data Loader to manage large-scale data migrations with high precision.</li><li>Advanced Excel Analytics: Leverage advanced Excel functions (VLOOKUPs, pivot tables, data cleaning formulas) to manipulate, format, and audit complex relational datasets before system ingestion.</li><li>Configuration & Flows: Design, test, and maintain Salesforce Flows, validation rules, and custom formulas to drive platform efficiency and enforce data integrity.</li><li>Reporting & Visualization: Partner with global stakeholders to build, optimize, and maintain complex dashboards and unified reports for leadership, ensuring metrics are clear and accurate.</li><li>Code Foundations: Under the guidance of the Salesforce Lead, actively learn and apply basic Apex or Javascript programming and custom configurations to help systematically absorb consultant-led technical tasks.</li></ul><ul><li>Training, Enablement & Change Management (50%)</li></ul><ul><li>Regional Onboarding & Training: Lead the Salesforce platform onboarding and continuous training of the operations staff in Central and South America, translating complex platform configurations into practical, easy-to-understand daily workflows.</li><li>Process Optimization & "Ride-Alongs": Actively engage field staff through interviews, focus groups, and virtual "ride-alongs" to identify system friction points, simplify data-entry burdens, and streamline field processes.</li><li>Localized Helpdesk Support: Manage the regional Central America and South America technical support queue. Act as an empathetic, collaborative partner to solve staff errors and system bugs, escalating to the Salesforce Lead when necessary.</li><li>Knowledge Base Management: Keep all training resources, Salesforce Knowledge articles, and LMS enablement content up-to-date and tailored to the unique operational context of the staff in Central and South America.</li></ul><h3>Experience and Education Required:</h3><ul><li>Salesforce Experience: 2–4 years of hands-on experience as a Salesforce Administrator or Power User. Salesforce Certified Administrator designation is required (or must be earned within the first 3 months).</li><li>Data & SQL Proficiency: Definite, proven experience working with relational database concepts and querying data via SQL or SOQL.</li><li>Advanced Excel Skills: Mastery of Excel for data manipulation, audit preparation, and data cleaning.</li><li>Enablement & Training Aptitude: Prior experience in software training, customer service, technical onboarding, or user support. Excellent presentation and communication skills.</li><li>Bilingual Fluency: Complete professional fluency in English and Spanish (written and verbal).</li></ul><h3>Additional Preferred Technical Qualifications:</h3><ul><li>Integrated Apps Familiarity: Previous hands-on experience configuring or troubleshooting tools like Taroworks, FormAssembly, or PDF Butler.</li><li>Coding Aptitude: Prior experience with, or a defined, strong interest in learning code (Apex, JavaScript, or Python) to expand into programmatic Salesforce development.</li><li>Salesforce Ecosystem Familiarity: Experience with Non-Profit Success Pack (NPSP) or Sales Cloud, and familiarity using JIRA for agile change tracking.</li></ul><h3>Additional Requirements:</h3><ul><li>Personal confession of faith in Jesus Christ and commitment to Edify’s mission.</li><li>Living example of servant leadership, humble and willing to learn.</li><li>Passionate about Edify’s mission and alleviating global poverty.</li><li>A high degree of integrity.</li><li>Excellent listening skills to understand issues, risks, and goals.</li><li>Ability to work tactfully with others, displaying integrity, discernment, sound judgment, and confidentiality.</li><li>Ability to travel as needed.</li></ul><h3>About Edify</h3><p>The vision of Edify is to see Flourishing, Godly Nations, and we seek to accomplish this by improving and expanding sustainable Christ-centered education globally. Edify is a non-profit organization registered in the U.S. since 2009 and now has operations in 16 countries, including Bolivia, Burkina Faso, the Dominican Republic, Ecuador, El Salvador, Ethiopia, Ghana, Guatemala, Kenya, Liberia, Nigeria, Panama, Peru, Rwanda, Sierra Leone, and Uganda. Edify serves low-fee independent Christ-centered schools through three primary avenues: loans, training, and education technology.</p>

Salesforce Systems and Engagement Officer

<h3>About Donorbox</h3>
<p>Donorbox is a leading fundraising platform and donor management system for nonprofit organizations. Our mission is to accelerate positive impact worldwide by helping nonprofits become highly effective at raising funds and managing their supporter base. Since 2014, we have powered more than 100,000 global organizations to raise over $4 billion in donations. 🚀</p>
<p>Our fast-growing company is profitable and bootstrapped with a healthy run rate. We have a fully distributed and diverse 150-person team based in 16+ states and 23+ countries. In 2026, Donorbox was named by Built In as one of the Best Places to Work in Washington, DC.🏅 Donorbox is rated the #1 software for fundraising, donor management, and nonprofit payment on G2 based on hundreds of verified customer reviews — a reflection of the care our team puts into building products that nonprofits trust.</p>
<h3>The Team</h3>
<p>You will be joining the <strong>Developer Platform and Integrations Team</strong>. Nonprofits trust Donorbox with the data their work depends on: who their supporters are, what they gave, and when. That data only becomes useful when it reaches the tools each organization has actually chosen to work in. Our job is to move it there safely, automatically, and at scale.</p>
<p>In practice that means deep data integrations — Salesforce, HubSpot, Little Green Light, Blackbaud, Planning Center, QuickBooks Online, HMRC — where Donorbox is the source of truth feeding a customer's system. It means the data imports that bring an org's history across from a previous CRM. And it means standing Donorbox up as a platform for the cases we haven't anticipated: public APIs, webhooks, and the path toward an MCP server and headless capabilities. We operate with a flat hierarchy, a fully remote team, and a deliberate choice to keep our tech stack simple, reliable, and powerful.</p>
<h3>The Role</h3>
<p>At Donorbox, our engineers at this level are what we call "Problem Solvers." At the Senior Engineer level you are handed a problem rather than a task list, and you discover the work it takes to solve it — as we put it internally: "Given this problem, what needs to be done?" This is the level we hire toward and expect engineers to sustain. Integration work rewards it especially: the requirement is rarely the whole story, the third party's documentation is rarely accurate, and the failure modes are rarely visible until someone else's sync has been quietly dropping records for a week.</p>
<h3>Responsibilities</h3>
<ul>
<li><strong>Own integrations as products, not projects:</strong> Build and maintain deep CRM and mass-data-sync integrations, and keep maintaining them as both sides change. Upkeep is part of the job, not an interruption to it.</li>
<li><strong>Protect data in transit:</strong> Get the right record to the right account, exactly once, in a form the receiving system won't mangle. Deduplication, partial failures, and resuming a run that died halfway are the daily substance of the work.</li>
<li><strong>Make integration health visible:</strong> Build the monitoring, error reporting, and unglamorous logging that turns a mysterious sync failure into a diagnosable one — so we find out before a customer does.</li>
<li><strong>Design public surfaces carefully:</strong> Model the data and design the APIs and webhooks that third parties depend on. Once someone builds against a payload shape, you live with it, so naming, pagination, and error semantics are close to permanent.</li>
<li><strong>Champion Product Sense:</strong> Analyze requirements through a "Jobs-to-be-Done" lens, ask whether the customer can already do this with an existing integration, and push back when a requirement doesn't match a real user job. Bring feasibility and engineering cost into prioritization so we build the integrations that demonstrably win and retain customers.</li>
<li><strong>Collaborate and Ship:</strong> Balance shipping quickly with shipping quality. Review peers' pull requests as a teaching tool rather than a gate, help support agents with technical questions during shifts, and treat escalations as signals about the product.</li>
<li><strong>Steward our Knowledge:</strong> Keep developer-facing documentation accurate and add, edit, and delete internal docs as part of the work. In a codebase over ten years old, the reason an integration behaves oddly is often a decision someone made against a third-party constraint years ago.</li>
</ul>
<h3>What We Are Looking For</h3>
<ul>
<li><strong>API Design Judgment:</strong> Strong proficiency building and consuming REST APIs, with real opinions about versioning, pagination, and error semantics formed by having lived with your own decisions.</li>
<li><strong>Third-Party Resilience:</strong> Experience integrating with systems you don't control — rate limits, partial failures, retries, idempotency, and webhook delivery — and the patience to read documentation and issue descriptions thoroughly rather than jumping through keywords.</li>
<li><strong>Data Movement at Scale:</strong> Experience moving data between systems with mismatched models: deduplication, mapping records that don't fit cleanly, and reconciling two systems that disagree about the same person.</li>
<li><strong>Rails &amp; PostgreSQL Proficiency:</strong> Ability to design the data model and Rails objects for medium-sized features and get feedback on that design right, including SQL for non-trivial operational and bulk queries and the ability to read a Postgres EXPLAIN.</li>
<li><strong>Quality &amp; Testing:</strong> A habit of writing tests that survive refactors because they test behavior, not implementation — including tests that hold up against services you don't control. We use Minitest.</li>
<li><strong>Independent Problem Solving:</strong> A track record of taking an ambiguous problem, finding the work it contains, and driving it to completion without detailed specifications. Honest about trade-offs, and does not promise dates that depend on heroics.</li>
<li><strong>Team-First Instincts:</strong> Willingness to pause your own work to unblock a peer, and to optimize for team throughput over personal output.</li>
</ul>
<h3>Our Tech Stack</h3>
<ul>
<li><strong>Backend:</strong> Ruby, Ruby on Rails</li>
<li><strong>Frontend:</strong> Vanilla JavaScript, Hotwire (Turbo/Stimulus), Semantic HTML, CSS (Design Tokens)</li>
<li><strong>Database:</strong> PostgreSQL, Relational Databases, SQL</li>
<li><strong>Integration:</strong> REST APIs, Webhooks, OAuth</li>
<li><strong>Testing:</strong> Minitest, Fixtures</li>
<li><strong>Mindset:</strong> "Omakase" Rails, MVC, Object-Oriented Programming</li>
</ul>
<h3>Details</h3>
<ul>
<li>Fully remote based in India or Pakistan</li>
<li>Salary: $52,200 - $58,000 USD, depending on experience and location</li>
</ul>
<h3>Benefits &amp; Perks</h3>
<ul>
<li>Fully remote work from the comfort of your home</li>
<li>Eligibility for employee equity plan (stock options)</li>
<li>Reimbursement package for home office expenses and professional development, up to $1.5k</li>
<li>Generous time off policy of 21 days (birthday included 🎉), 8 holidays of your choice, and 2 paid volunteer days</li>
<li>Wellness program with fitness and mindfulness classes</li>
<li>Love your work and our mission of serving nonprofits!</li>
</ul>

Senior Engineer

<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

<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>

Senior Data Scientist

<div><strong>About the Team&nbsp;</strong></div><div>The Subsplash Product and Engineering Team is responsible for all products that the company develops including the tools and services we offer our clients as well as the App Platform that serves our clients’ end users. We are a team of designers, developers, and coordinators, creating polished experiences for our clients and end users. The Product and Engineering Team is responsible for the entire user experience including: End-User Mobile Apps, the Subsplash Dashboard (our Content Management System), Subsplash Giving, the Web App, TV apps, APIs, analytics, and more. The Product and Engineering Team supports our Clients by helping them maximize digital engagement, fuel their mission and expand their reach.</div><div><br><strong>About the Role</strong></div><div>As a Software Development Engineer III, you will report to one of our Software Development Managers. This is a senior level role within our team, and with that comes a high degree of influence. You will work closely with Designers, Project Managers and other Engineers to build systems that people want to use and can rely upon. You recognize the importance of stability and uptime for web services and financial software systems. You are cautious and contemplative with architectural decisions, working alongside others to deliver secure, stable, and elegant solutions. You enjoy reviewing other team member’s work, and receiving constructive feedback as well. You treat security concerns as first class citizens, and will help coach others to understand industry best practices.</div><div><br><strong>Compensation</strong></div><div>The total overall compensation for this role will be between $135,000-155,000/yr.</div><div><br></div><h3><strong>Required Education + Experience</strong></h3><ul><li>7+ years of full time programming experience in a group/team environment</li><li>Experience and proficiency making architectural decisions both in expanding existing projects and planning/implementing new systems&nbsp;</li><li>Significant experience with server-side web technologies (Examples: Unix/Linux, Golang, PHP,&nbsp; MySQL, MongoDB)</li><li>Networking and Network Security proficiency</li><li>Experience protecting against security risks such as XSS, SQL Injection, appropriate use of SSL, session hijacking etc.</li><li>Experience, knowledge, and mindfulness of security best practices with server-side and client-side (e.g. Javascript) languages as well as industry standards</li><li>Hands-on experience with AWS or similar hosting providers</li><li>Experience writing technical documentation and proposals</li><li>Value collaboration, reviewing others work, mentoring others, as well as receiving constructive feedback</li><li>Able to navigate ambiguous requirements while prioritizing multiple projects, tasks, and bug fixes</li><li>Ability to mentor others, communicate complex technical requirements with clarity, and the ability to influence others' technical design decisions</li><li>Participate in the team’s on-call rotation as needed</li><li>Bachelor of Science in Computer Science/Engineering, or equivalent experience</li></ul><div><br></div><h3>Desired Skills and Experience</h3><ul><li>Experience with Golang, Microservice architecture, NGINX, Redis, and PHP</li><li>Extensive knowledge of HTML5, CSS3, AJAX, JSON, and cross-browser compatibility</li><li>Solid understanding of OAuth2 and Authentication protocols</li><li>Knowledge of Continuous Integration and Continuous Delivery</li><li>Knowledge of data security best practices related to PCI/DSS/CISP/SOC2</li><li>Experience with containerization and orchestration (Docker/Kubernetes, etc.)</li><li>Experience with AI-driven development agents (e.g., Claude Code, Cursor) and integrating LLMs into the SDLC to significantly accelerate engineering velocity.</li><li>Proficiency in prompt engineering and agent orchestration, with an ability to effectively review, debug, and refine code generated by agents.</li><li>Understanding of AI-native development patterns, including managing agent-specific context (e.g., CLAUDE.md), utilizing Model Context Protocol (MCP) integrations, and adhering to automated guardrails for security and code quality.</li><li>Strong product-design intuition to define requirements, oversee agent-led implementation, and maintain high code quality in a high-velocity, automated environment.</li><li>Familiar with Agile principles and Scrum</li></ul><div><br><strong>You are…</strong></div><ul><li><strong>Passionate: </strong>You demonstrate our core values of Humility, Innovation, and Excellence</li><li><strong>Trustworthy: </strong>You understand the importance of confidentiality with sensitive information</li><li><strong>Efficient:</strong> You naturally have the ability to prioritize multiple projects and tasks</li><li><strong>A Communicator:&nbsp; </strong>You have a knack for clear and concise communication&nbsp;</li><li><strong>A Driver:</strong> You are smart, persistent, and not easily blocked</li><li><strong>Team-Oriented: </strong>You love your Designer, because technical architecture only matters if people want to use the tools and you love your Project Manager, because great software doesn’t count if it never ships.</li><li><strong>A Learner:</strong> You are<strong> </strong>committed to staying current with new technologies and industry trends.</li><li><strong>A Mentor: </strong>You have a love for learning and teaching others while maintaining a posture of humility.</li></ul><div><br><strong>Location</strong></div><div>Subsplash currently has operations in 27 states across the US! As much as we would love to have employees in as many states and countries as we have clients, we are currently limiting hiring to the states we already operate in. As a result of that,<strong> this role is only available as a 100% remote position if you reside in one of the following states:&nbsp;</strong></div><div><br>AL, AR, AZ, CO, FL, GA, ID, IA, IN, KS, KY, MO, MI, MN, NC, NM, OK, OH, OR, SC, SD, TN, TX, UT, VA, WA, WY.</div><div><br>Unfortunately, if you do not <strong>currently</strong> reside in one of these states, we are unable to consider your application.</div><div><br><strong>Benefits</strong></div><div>Generous Paid Time Off (Accrual rate of 15 days for the first year and then 20 vacation days per year beginning on your 1 year anniversary), Medical Coverage, Dental Coverage, Vision Coverage, short and long term disability and life insurance all free of charge, Competitive Compensation, 401k Matching, Professional Development, Top of the Line Equipment, Referral Program, Parental Leave, Family-Friendly Culture, and the chance to work side-by-side with thought leaders in emerging tech</div><div><br><strong>About Subsplash</strong></div><div>Subsplash is an exciting, award-winning team of 290+ mission-driven people who are committed to our core values of humility, innovation, and excellence. Founded in 2005, we’ve remained family owned and operated while pioneering the market with the first ever church mobile app. Since then, we’ve been working together to build The Ultimate Engagement Platform™ for churches, Christian ministries, non-profits, and businesses around the world. We find excitement in serving our 17,000+ clients, creating impactful products, and delighting the 40 million real people who use our platform every day. Subsplash has won awards for best mobile experience, been voted top 100 Washington's Best Workplaces by the Puget Sound Business Journal, created some of the most downloaded apps of all time, and built enterprise software for world-class brands like XBOX, Microsoft, Samsung, Expedia, and Cisco; yet, at the end of the day, we love making a lasting impact and a difference in our world.</div>

Remote Christian Sql Jobs

Trusted by