Senior Engineer, Analytics and Operations Intelligence

Crisis Text Line, Inc. • Philadelphia, PA

1d • Remote

About The Position

Crisis Text Line is building toward a test-and-learn culture — one where decisions about product features, operational policies, and outreach strategies are grounded in evidence, not intuition. This role sits at the center of that ambition. As a Senior Engineer, you will own two things in equal measure: the data infrastructure that makes rigorous analysis possible, and the experimental framework that makes rigorous analysis happen. You'll partner closely with Operations, Marketing, and Product teams to design studies that answer causal questions — and you'll help define the tooling, standards, and practices that allow this capability to scale across the organization. This is a high-autonomy, high-influence individual contributor role. The right person is as comfortable discussing experimental design with a non-technical team as they are scoping and building a data model that helps answer an important business question. This role does not require — and is not a good fit for — someone whose primary orientation is building dashboards or generating reports. The right candidate wants to own methodology, influence how the organization thinks about evidence and build something that doesn't fully exist yet.

Requirements

• 5+ years working with data in analytical or engineering contexts, with demonstrable depth in SQL and Python
• Strong foundation in statistics and experimental design — you understand the difference between correlation and causation and know how to design for the latter
• Experience designing or executing controlled experiments or quasi-experimental studies (e.g., difference-in-differences, regression discontinuity, propensity score matching)
• Experience building and maintaining data models for downstream analytical use
• Fluency with git and collaborative development workflows
• Demonstrated ability to work cross-functionally and translate between technical and non-technical stakeholders
• Reliable High-Speed Internet Required: Must have a stable high-speed internet connection to support seamless remote collaboration, virtual meetings, online job tasks, etc.

Nice To Haves

• Experience selecting or implementing an experimentation platform or measurement framework, particularly in resource-constrained environments
• Experience with agent-driven analytics workflows
• Experience working in Marketing Analytics and relevant methodologies for attribution
• Exposure to product analytics or program impact measurement
• Experience in a mission-driven or nonprofit context

Responsibilities

• Define and maintain performant, scalable data models in the data warehouse, with a focus on reliability, reusability, and documentation
• Partner with Platform and Data Engineering to build and monitor scalable data pipelines in production
• Serve as a technical authority on data modeling standards, tooling choices, and engineering best practices across the analytics function
• Translate ambiguous business needs into clean, well-scoped data products — from one-time analyses to production-grade dashboards
• Advocate for and drive adoption of industry best practices
• Define the organization's experimentation standards: what constitutes a well-designed study, how results are interpreted, and how findings are documented and shared
• Design and execute experiments — hypothesis testing, data analysis, A/B tests, quasi-experiments, and observational studies — in partnership with Operations, Marketing, and Product stakeholders
• Evaluate, select, and implement the experimentation stack — prioritizing open-source and low-overhead tooling that can mature with the practice
• Bring statistical rigor to ambiguous questions: help teams move from "we want to know if X works" to a study design that can actually answer that question
• Communicate findings to non-technical audiences with clarity, including Senior Leadership and external partners

Benefits

• Comprehensive medical, dental, and vision options that prioritize accessibility and financial peace of mind
• Employer-funded HSA contributions
• Generous PTO, sick time, and 19 paid holidays with a winter break
• 12 weeks of fully paid parental leave after 26 consecutive weeks of service
• Monthly internet and mental health stipends
• Annual Wellness Stipend
• Home office and professional development stipends
• 403(b) retirement plan with employer contribution
• Sabbatical after 3 years of service

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed