Operations Analytics Manager, Two Chairs
$140-170k
+ Equity
More information about location
In-house therapy
Be an early applicant
In-house therapy
501-1000 employees
Be an early applicant
$140-170k
+ Equity
More information about location
501-1000 employees
Company mission
To build a world where everyone has access to exceptional mental health care.
Role
Who you are
- Have 5+ years of relevant work experience in an analytical role, preferably in banking, management consulting, finance, tech operations, or other highly analytical role
- Excel at analyzing complex data sets and building sophisticated forecasting models, including proficiency in analytics/BI tools (e.g., SQL, Looker). Experience collaborating with Data Science teams to co-create models is a plus
- Bring a big-picture perspective and understand how operational levers (unit economics, capacity tradeoffs, session frequency) directly drive financial health and business outcomes
- Work effectively with diverse teams across Finance, Growth, Recruiting, and Clinical leadership, translating quantitative insights into actionable strategies
- Are comfortable navigating unstructured problems—building solutions from 0 to 1 and iteratively refining models until they are fully production-ready
What the job involves
- As an Operations Analytics Manager on our Operations team, you will be at the forefront of driving data-informed decision-making for our established therapy business and our rapidly expanding psychiatry business line
- The Supply & Demand (S&D) team directly impacts the organization's highest-stakes margin and revenue decisions, and this role provides the modeling and analytical horsepower necessary to navigate complex operational variables
- You'll be responsible for building our initial Psychiatry S&D model, integrating it into our core data infrastructure, and maintaining it as we launch across new markets. Collaborating cross-functionally with Growth, Finance, Data Science, Clinical Recruiting, and Clinical Operations, you will establish capacity metrics that directly guide hiring velocity, resource allocation, and cross-licensing strategies
- Model Building & Supply Strategy (40%)
- Build, maintain, and refine end-to-end S&D forecasting models across current and upcoming launches (e.g., state, payer, channel launches)
- Incorporate complex business variables into supply and demand models (e.g., variable session frequencies, clinician ramp times, and cross-licensing constraints)
- Evaluate unit economics and recommend operational levers to ensure business strategy aligns directly with revenue, margin, and clinician utilization targets
- Data Infrastructure & Operational Analytics (35%)
- Partner closely with Data Science and Data Engineering to co-create models and transition standalone new models into our core data infrastructure
- Define, govern, and track standardized operational metrics, including capacity, clinician utilization rates, hiring targets, and client time-to-care metrics
- Perform regular "forecast vs. actuals" audits as new demand data becomes available, refining key assumptions (e.g., hiring velocity, client demand, clinician ramp-up schedules)
- Cross-Functional Collaboration & Continuous Improvement (25%)
- Partner cross-functionally with Growth, Finance, Clinical Recruiting, and Clinical Operations to communicate strategic insights and align cross-functional priorities
- Support executive decision-making on key operational trade-offs, such as determining clinician hiring volumes versus expanding cross-licensing for existing clinicians
- Identify operational bottlenecks across the end-to-end recruitment and patient lifecycle, driving scalable process improvements to enhance efficiency and service quality
- Impact and Success Indicators:
- Where you’ll make an impact in the first 90 days:
- Develop fluency with the psychiatry service line, and sketch out a modeling framework that will support service line expansion
- Establish strong cross-functional relationships across Growth, Finance, Data Science, and Clinical Ops, delivering initial analysis on utilization and capacity metrics
- Where you’ll make an impact in the first year:
- Build and deploy the initial Psychiatry S&D model to guide operational decisions
- Implement scalable forecasting and reporting tools to support long-term, multi-state growth
- Partner with the Data team to integrate S&D inputs into the broader data and modeling infrastructure, and ensure coherence across therapy and psychiatry models
- Deliver measurable improvements to clinician utilization, unit economics, and client time-to-care efficiency
Our take
Two Chairs is a digital therapy platform that matches clients with therapists based on their medical history, preferences and goals. Unlike many digital-only tools, the company operates a network of physical clinics in the San Francisco Bay Area where patients can receive in-person consultations.
It's part of a growing generation of mental health startups that are seeking to disrupt a costly and highly fragmented sector of the healthcare industry. Two Chairs is focusing on matching as a key differentiator, as it believes finding a good match is the best leading indicator of success in therapy.
A core challenge for Two Chairs will be growing its brick-and-mortar footprint. Growing a network of physical clinics will be capital-intensive and not as scalable as digital alternatives (the company faces competition from the likes of Basis, Wisdo, Aura, and more). But the company has enjoyed considerable success in funding rounds, and its 2024 investment is being used to hire more therapists, expand into new territories, and finesse its technology.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
71% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2024
$50m
SERIES C
Aug 2019
$21m
SERIES B
Total funding: $78m
Company HQ
South Park, Los Angeles, CA
Leadership
Alex Katz
(Founder & CEO)Prior to founding Two Chairs in 2016, Alex spent 2 years at Palantir Technologies as an Deployment then Enterprise Lead. He also spent 2 years at McKinsey & Company as a Business Analyst.
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