Rehearsals

Rehearsals

HQ
New York
8 Total Employees
8 Product + Tech Employees
Year Founded: 2025

Rehearsals Benefits Overview

Highly competitive pay, equity, and full benefits. Any MacBook setup you want. Free meals, snacks, and drinks daily. Dating app stipend (Hinge, Bumble, etc.). AI stipend to spend on tools like ChatGPT, Veo, Runway, or others you choose. Wellness stipend for gym, recovery, or mental health support. Work from our NYC office between Madison Square Park and K-Town, in the heart of the city.

Compensation + Benefits

Offers company equity

Provides relocation assistance

Offers dental insurance

Offers vision insurance

Offers health insurance

Work-Life Balance + Wellbeing

Offers fitness stipend

Offers team workouts

Offers company-sponsored happy hours

Offers wellness programs

Utilizes an Unlimited PTO policy

Company Culture

Provides free daily meals

Provides free snacks and drinks

Office is pet friendly

Career Growth + Development

Job training & conferences

Hosts Lunch and Learns

Promote from within

Recently posted jobs

An Hour AgoSaved
In-Office
New York City, NY, USA
Marketing Tech • Software • Business Intelligence
Join as a founding full-stack engineer building AI simulation products. Work on web frontend (TypeScript, Next, React), data stacks and scraping, run experiments on simulation engines, and build infrastructure like research tooling, CI/CD, and internal code-review tooling. Focus on scalable data systems or reusable frontend component libraries.
An Hour AgoSaved
In-Office
New York City, NY, USA
Marketing Tech • Software • Business Intelligence
Own and grow marquee enterprise accounts post-sale: drive onboarding, ensure customer success, expand usage and revenue, lead renewals, represent customer needs internally, and work cross-functionally with product and prediction teams.
An Hour AgoSaved
In-Office
New York City, NY, USA
Marketing Tech • Software • Business Intelligence
Run Rehearsals' predictive simulations for diverse enterprise clients, manage C-level relationships end-to-end, tune bespoke AI model inputs/outputs, surface product requirements from field work, and coordinate across product, research, and modeling teams to improve and automate predictions.