An Operations Manager—specifically within the Revenue Operations or provider operations business units at Rula—plays a vital role in bridging the gap between clinical infrastructure and scalable business systems. Rula is dedicated to making mental healthcare accessible and reliable, which means our operational workflows must be seamless. This role is responsible for optimizing the systems that connect patients with the right therapists, managing the revenue cycle, and ensuring that provider onboarding and retention scale efficiently.

In this position, you will not just manage static processes; you will build the data pipelines, automation scripts, and analytical frameworks that drive strategic decisions. Whether you are optimizing provider matching algorithms, streamlining billing workflows, or analyzing customer acquisition channels, your work directly impacts Rula's ability to deliver high-quality behavioral healthcare at scale.

This role requires a unique blend of technical execution and strategic communication. You will frequently translate complex datasets into actionable insights for cross-functional partners in Product, Marketing, and Clinical Quality. It is a highly technical operations role where data analysis, process automation, and stakeholder management converge.

Our interview process is designed to evaluate both your analytical capabilities and your behavioral alignment with Rula's values. The following questions are representative of what you can expect, compiled from real interview experiences for the Operations Manager and Revenue Operations Manager positions.

Technical & Analytical Queries

These questions evaluate your ability to write clean queries, manipulate data programmatically, and extract meaningful insights from raw datasets.

• Write a SQL query to calculate the month-over-month growth rate of active therapists on the platform.
• How would you structure a Python script to automate the extraction of therapist scheduling data from a database and write it to a formatted Excel file for business stakeholders?

Success in the Rula interview process requires a balanced preparation strategy. You must demonstrate that you are not only a highly capable data analyst but also a proactive problem-solver who can execute operational strategies.

Technical Proficiency – You must be ready to write functional SQL queries and basic Python scripts. Brush up on data aggregation, joins, and data manipulation libraries like Pandas to ensure you can handle the technical homework phase.

Data-Driven Storytelling – Having technical skills is only half the battle. You must be able to translate data points into a cohesive narrative, explaining the "why" behind the numbers to both technical and non-technical stakeholders.

Structured Communication – When answering behavioral questions, you must use the STAR (Situation, Task, Action, Result) method with absolute precision. Be explicit about your personal contribution and the quantifiable business outcomes of your actions.

The interview process for the Operations Manager role at Rula is rigorous and highly structured, designed to evaluate your technical execution, strategic presentation skills, and behavioral alignment. The process moves quickly, and you can expect clear communication from your recruiter at each stage.

The journey begins with a conversational recruiter screen to align on your background and the core competencies of the role. This is followed by a hiring manager interview, which focuses on your operational philosophy, technical background, and behavioral alignment. From there, the process transitions into a intensive technical take-home case study, culminating in a panel presentation.

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The timeline above outlines the typical progression from your initial contact to the final decision. The technical assessment and case study phases are the most demanding components of this process, requiring dedicated time and focused execution. Candidates should allocate sufficient bandwidth, particularly for the take-home challenge, to ensure they can deliver both clean code and a polished presentation.

To pass the Rula interview panels, you must excel in three core evaluation areas. Each area tests a different facet of your operational and analytical toolkit.

Technical Execution: SQL & Python

Rula relies heavily on data to optimize its mental health provider networks and clinical operations. You will be expected to demonstrate hands-on data competency during the take-home phase.

Be ready to go over:

• SQL Foundations – Writing structured queries using joins, window functions, aggregations, and subqueries to extract specific cohorts from operational tables.
• Python Automation – Utilizing Python to manipulate datasets (e.g., using Pandas) and automating manual tasks, such as writing SQL query outputs directly into formatted Excel spreadsheets.
• Data Integrity – Identifying and cleaning duplicate, missing, or anomalous data within a mock therapist dataset.

Example scenarios:

• Writing a Python script that reads a database of therapist session logs, aggregates weekly hours billed, and outputs a clean report.
• Executing SQL queries to identify which clinical specialties have the longest patient matching wait times.

Case Study & Panel Presentation

The case study is a comprehensive exercise where you will have 5 days to analyze a mock therapist dataset, solve technical problems, and build a presentation deck for a panel of 4 interviewers.

Be ready to go over:

• Strategic Synthesis – Translating raw data analysis into a high-level PowerPoint presentation that outlines operational bottlenecks and strategic growth opportunities.
• Presentation Skills – Delivering a clear, executive-ready presentation to a panel of cross-functional team members, defending your analytical assumptions under questioning.
• Operational Recommendations – Proposing concrete, actionable steps to improve provider onboarding, engagement, or matching efficiency based on your findings.

Behavioral Delivery & STAR Alignment

Rula values clear, structured communication. During behavioral rounds, your interviewers will look for highly structured answers that demonstrate ownership, collaboration, and a results-oriented mindset.

Be ready to go over:

• The STAR Method – Structuring every behavioral answer by clearly defining the Situation, your specific Task, the Actions you took, and the quantifiable Results.
• Ambiguity & Adaptability – Demonstrating how you navigate incomplete datasets or shifting priorities to deliver operational successes.
• Stakeholder Management – Showing how you align cross-functional partners, such as Product, Clinical, and Marketing teams, around operational changes.