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Ezra - Operations , Analytics Engineer, Member Experience
- New York, New York, United States
- New York, New York, United States
À propos
US - Remote for those outside the NYC area.
NYC employees are hybrid
Company Overview: Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company’s Most Innovative Companies of 2024, and is venture-backed by Andreessen Horowitz (a16z). Hundreds of thousands of members have joined Function to take control of their health.
Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives.
Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent.
We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset. Function fosters a collaborative and dynamic environment where every day we build the future.
Role: Own our member experience strategy with a primary focus on driving NPS through deep, technical analysis and systematic operational improvements as we scale. This is a highly technical, hands-on role for someone who can design, build, and iterate on analytics and operational infrastructure from the ground up — not consume pre-built dashboards.
We’ve grown 5x in the last 6 months and expect similar hypergrowth ahead. What worked at 500 members breaks at 5,000. This role exists to anticipate those breaking points early, using SQL-driven analysis, lightweight tooling, and AI-powered experimentation to surface friction before it becomes systemic.
This is not a traditional customer support or CX role. You will spend a significant portion of your time building the data foundations yourself — defining metrics, standing up reporting, and prototyping tools — and then using those insights to drive cross-functional operational change.
Key Responsibilities: NPS Excellence & Systematic Problem Solving
Analyze all member feedback and NPS data to identify patterns, root causes, and early warning signals.
Design solutions that eliminate recurring issues at the system level, not just resolve individual cases.
Drive NPS from the current baseline through data driven improvements.
Own the full improvement cycle: issue identification, solution design, implementation, impact measurement.
Proactively identify where processes will break as volume and complexity increase.
Data Analysis, Analytics Build & AI Tooling
Build analytics and reporting directly from raw data using SQL and lightweight tooling.
Define metrics, dashboards, and monitoring systems without relying on existing BI platforms.
Build dashboards and tracking systems that provide real time visibility into member satisfaction.
Leverage AI tools to prototype workflows, automate analysis, and accelerate insight generation.
Run rapid experiments, measure outcomes, and iterate quickly in a resource-constrained environment.
Operational Execution & Cross-Functional Leadership
Translate analytical insights into actionable recommendations for Product, Operations, and Clinical teams.
Lead cross-functional initiatives driven by data, owning execution through to measurable outcomes.
Build strong relationships with stakeholders and influence priorities across the organization.
Ensure insights turn into durable processes or system changes that scale.
Follow through relentlessly to ensure other teams implement necessary changes.
Present data driven recommendations to senior leadership and drive accountability for outcomes.
Nature of the Role
Early phase: Majority of time spent on technical build-out (analytics foundations, reporting, tooling).
Steady state: Less time maintaining data systems; more time leading operational projects powered by insights.
High-autonomy role requiring comfort defining the "how" in ambiguous, fast-moving environments.
Qualifications & Skills: Technical Analytics & Data Fluency
Advanced SQL skills with experience building analytics from raw datasets.
Comfort working without established BI tools; ability to stand up scrappy but reliable reporting.
Python or scripting experience is a strong plus.
AI & Automation Mindset
Hands-on experience using AI tools to prototype, automate, and accelerate analytical or operational workflows.
Strong experimentation mindset and technical curiosity.
Systematic Problem Solving
Proven ability to identify root causes in customer feedback, implement scalable solutions that prevent recurring issues, and drive measurable improvements in member satisfaction metrics through data-driven decision-making and rapid experimentation cycles.
Cross-Functional Execution
Demonstrated ability to translate member insights into actionable recommendations for Product, Operations, and Clinical teams.
Build strong stakeholder relationships without direct authority, and follow through relentlessly to ensure implementation and measure outcomes.
Comfortable owning initiatives end-to-end, not just delivering analysis.
Communication & People Leadership
Exceptional written and verbal communication with the ability to present data-driven insights to senior leadership, coach team members on systematic thinking and problem-solving, and maintain collaborative relationships across all organizational levels.
Core Experience Requirements
Bachelor’s degree or equivalent practical experience.
3+ years in analytics, data, operations, or customer experience roles with demonstrated impact.
Startup or high-growth environment experience is strongly preferred.
Preferred Background
Healthcare, medical, or regulated service environments.
Direct-to-consumer or high-touch service products.
Side projects or examples of scrappy, self-directed technical builds.
Benefits
Base Salary: $90,000 - $125,000
Stock options
Comprehensive health, dental, and vision plans for you and your family
Wellness and commuter benefits
Competitive vacation policy
A culture that emphasizes learning
Professional development budget for continued learning
Opportunity to directly impact our mission of saving lives through early cancer detection
Our commitment to diversity and inclusion We're aiming to build a diverse team and an inclusive company culture. We are an equal opportunity employer and do not discriminate based on race, ethnicity, nationality, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
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Compétences linguistiques
- English
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