Northbeam

• Build, deploy, and maintain production systems that power Northbeam's measurement products. • Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities. • Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems. • Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs. • Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value. • Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities. • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.

• Build, deploy, and maintain production systems that power Northbeam's measurement products. • Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities. • Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems. • Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs. • Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value. • Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities. • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.

• Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability. • Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems. • Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale. • Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication mechanisms (OAuth, API keys, etc.). • Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability. • Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment. • Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources.

Online Part Time Faculty - Philosophy, School of Arts/HUM/EDU Job Category: Faculty - Full-Time - Remote - Locations Online / Remote   Part-time and full-time teaching faculty share our commitment to learning, teaching, interaction with students and faculty, service to our communities of practice, and scholarship. They are united by the common goal of inspiring academic excellence in students with a broad range of interests and experiences consistent with the Community of Inquiry Framework, as adopted by American Public University System (APUS) for cognitive presence, teaching presence, and social presence. They are key to creating a rewarding online learning experience for students by engaging them, challenging them, and supporting them. They contribute to and participate in a range of activities related to effectiveness and excellence in teaching and student retention. Faculty members remain aware of discipline content intent for the courses they teach. They follow APUS guidelines, processes, and methods and are responsive to mentoring and coaching. When Applying: Upload a CV and a copy of unofficial transcripts, master's degree and above. Student issued/unofficial copies are acceptable. Please do not send us official copies, unless specifically asked. Responsibilities: - Teaching excellence. - Deliver online lessons to undergraduate and/or graduate students. - Initiate, facilitate, interact, and moderate online classroom forums. - Be a faculty leader in your classes embracing fully the Community of Inquiry Framework of Teaching Presence, Cognitive Presence, and Social Presence. - Evaluate and grade students' class work, assignments, and papers within the timeframe set forth by APUS policy providing effective feedback to guide student learning and success. - Comply with APUS guidelines and expectations for quality faculty engagement online. - Engage in the classroom and reply to emails, etc. at least every other day, including one day during the weekend. - Remain aware of classroom procedures and use of instructional materials. - Participate in professional development to enhance teaching skills and effective online learning strategies. - Conduct scholarly research and participate in professional engagement activities. - Attend discipline specific and administrative meetings as scheduled. - Maintain ‘discipline’ knowledge by participating in one’s own discipline-related professional communities. - Support APUS initiatives and departments. General Work Requirements: All APUS faculty are required to complete the “Engaging the First‐Year Student Certification” course (APUS110), offered through the Center for Teaching and Learning (CTL).  It must be completed within six months of the hire date.  In addition, Graduate Faculty must complete the Graduate Faculty Certification (APUS501) within 90 days of hire. Specific requirements related to your Graduate / Undergraduate Faculty designation, duties, and performance expectations are outlined on the Course Assignments issued with respect to each course to be taught. You agree to comply with and be bound by all policies with respect to work product and intellectual property rights set forth in the APUS Faculty Handbook, the APUS Employee Handbook, the APEI Employee Handbook, and applicable Course Assignments. You will be expected to perform your duties in a remote, professional working environment of your choice. APUS assumes no responsibility for injuries occurring in your selected workspace or damages related to your real or personal property resulting from your employment with APUS. Requirements: - Master's degree in Philosophy from a regionally accredited institution is required. - College-level teaching experience is preferred. - Online teaching experience is preferred. - Record of excellence in teaching. Areas of Expertise: - Ethics  - Artificial Intelligence/Big Data - Leadership

• Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products • Enhance the accuracy, robustness, and scalability of existing MMM pipelines • Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems • Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies • Debug data and modeling issues in production and improve the reliability of customer-facing results • Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers

• Identify and solve complex, high-impact problems, leading projects with multiple stakeholders and engineers to deliver significant impact to our business • Help set technical direction impacting our engineering team • Work with product managers, our customer success team, and customers to scope projects and build solutions • Build the Northbeam dashboard, where we surface core marketing analytics • Own and build features end-to-end yourself from idea to production-ready solution, as well as with engineers across the company • Optimize our web application for best-in-class speed of development and time to render • Contribute to the development of standardized, technical documentation for internal and external stakeholders

• Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions. • Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices. • Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs. • Own and Implement the data/infrastructure engineering aspects end-to-end from idea to solution as part of a cross functional effort with your peers. • Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost. • Integrate with our machine learning and data science systems to deliver insights to our customers. • Maintain and augment the necessary infrastructure to scale our platform. • Write technical documentation for internal and external stakeholders.

• Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability. • Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems. • Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale. • Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication mechanisms (OAuth, API keys, etc.). • Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability. • Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment. • Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources.

• Brand Identity Management: Together with our trusted external agency, our Brand and Creative Operations Manager and our product marketing and messaging team, you will develop, maintain, and evolve brand identity guidelines, including logos, color palettes, typography, and overall visual systems. • Creative Asset Creation: Design a wide range of marketing materials for both digital and print media, such as website graphics, social media assets, email templates, advertisements, brochures, presentations, and event collateral. • Collaboration: Work closely with cross-functional teams, including marketing managers, copywriters, product teams, and engineers, to translate marketing strategies and business objectives into high-impact visual stories. • Conceptualization and Storytelling: Participate in creative brainstorms and develop original design concepts that resonate with the target audience and drive action. • Project Management: Manage multiple design projects simultaneously, ensuring all designs meet quality standards, brand guidelines, and project deadlines. • Stakeholder Communication: Present and articulate creative ideas and design solutions to stakeholders, incorporating feedback and refining designs as needed. • Trend Monitoring: Stay updated on the latest design trends, tools, and best practices to ensure the brand's creative output remains fresh and innovative.

• Act as the primary point of contact for customer inquiries and internal support tickets from client-facing teams via email, recorded screenshares, live video calls, and internal channels • Handle complex, high-context customer issues that require investigation, explanation, and coordination across teams • Work directly with customers to troubleshoot setup, data health issues, and product-related questions • Identifies educational gaps in how customers understand the platform and works to close those gaps through documentation, product changes, improved onboarding, or better explanations • Collaborates closely with Customer Success, Product, and Engineering—working cross-functionally without needing deep backend expertise—and understands when to escalate technical or product-level issues with clear context and detailed reproduction steps • Proactively recommend and help implement improvements to support workflows, documentation, tooling, or handoff processes • Surface patterns in customer pain points and provide actionable feedback to Product and Engineering • This role will help shape how support operates and scales over time