Senior Engineer, Analytics and Operations Intelligence

Who we are

At Crisis Text Line we believe that every person in crisis deserves to be heard, understood, and supported. Our mission is carried forward by people who lead with empathy, integrity, and a deep sense of responsibility to one another and the communities we serve.

Crisis Text Line provides free, 24/7, confidential mental health support via text, delivering crisis intervention and prevention when it’s needed most. We pair human connection with scalable technology, research, and partnerships to strengthen mental health systems and drive lasting change. We support individuals, communities, and populations, working in partnership with NGOs, foundations, corporations, and government and intergovernmental agencies to scale impact globally. 

We are building a team of thoughtful, purpose-driven professionals who want their work to matter. If you’re driven by purpose, energized by organizing and leading high-impact initiatives, and motivated to build processes and projects that empower teams and advance organizational priorities, this is the role for you. 

Department Summary

At Crisis Text Line, the engineering, product, and design teams comprise the Build department. The vision of the group is to: 

• Deliver the most trusted, innovative, and easy-to-use Crisis Care Platform in the industry and drive unprecedented levels of growth for people in need worldwide. 
• Ensure that every user feels a sense of community on our platform, allowing us to build trust, and grow our impact. 
• Enable our global affiliates to power their crisis support operations in an efficient and dynamic environment 
• Provide a services/API-first architecture based on federated sources of data and infuses predictive insights (ML and otherwise) in every aspect of our Platform and Experience. 

Role Summary

Crisis Text Line's mission is to promote mental well-being for people wherever they are. We aim to make crisis support available to a global audience. Our technology powers our US operations, as well as those of our international partners. To grow this impact worldwide, we need an exceptional engineer for our Analytics and Operations Intelligence team to help drive the next generation of mental health data.

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.

Key Responsibilities

Crisis Text Line is a fast moving, growing organization with a big vision and a critical mission. To serve our mission and vision, each role must be agile and flexible to meet the needs of the business, aligning  daily work with business priorities as defined by managers and team leaders.

Analytics Engineering

• 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

Experimentation & Research Design

• 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

Minimum Qualifications

• 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

Preferred Qualifications

• 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

Reliable High-Speed Internet Required: Must have a stable high-speed internet connection to support seamless remote collaboration, virtual meetings, online job tasks, etc.

For United States-based candidates: 

The target salary range for this position, across the United States, is $115,192 - $137,605. Starting salary will vary based on location, qualifications, and prior experience. Candidates will learn the range specific to their location during the interview process. We pay competitively in the tech-forward nonprofit space and offer a robust benefits package.

Benefits & Well-Being

Crisis Text Line recognizes that we are all unique human beings with unique life circumstances, and our benefits package aims to be as flexible as possible to support your needs as you work to promote mental well-being for people, wherever they are. Our benefits package is thoughtfully designed using an equity lens, with input from our team and from industry best practices.

Highlights include:

• 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

Benefits are for U.S.-based employees; international benefits may vary. 

Within the United States, only candidates in the following states will be eligible for employment: CA, CO, CT, FL, GA, IL, IN, IA, MD, MA, MI, MO, NJ, NM, NY, NC, OH, PA, TN, TX, UT, VA, WA.

No visa sponsorship available for this position.

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