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OnHires
OnHires
6 open remote positions
They are a profitable, self-funded B2C subscription SaaS company operating primarily in the US market. They have a lean, high-performance structure and generate approximately $1M in monthly revenue.
Salary Distribution
2 of 6 jobs
PTO Distribution
2 of 6 jobs
Benefits Overview
2 of 6 jobs
(2)
(1)
Open Positions
Take end-to-end technical ownership of mobile app, web platform, backend, and infrastructure. Design and implement an AI-first software development workflow with AI-assisted coding tools and agents. Manage the relationship with the current outsourced engineering agency and define the engineering model.
React Native
TypeScript
Node.js
PostgreSQL
AI-assisted Development
Perform manual testing of web and mobile applications. Identify, document, and track defects, and work with the development team to resolve them. Create, audit, and update test cases and QA documentation.
Manual Testing
Web Application Testing
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse. Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices. Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
Python
SQL
Dbt
Airflow
Snowflake
Build, launch, and manage Google Ads campaigns across multiple B2C subscription products Continuously optimize campaigns for key metrics: CAC, CPL, CPA, ROAS, ROMI, LTV Run structured A/B testing across keywords, ad copy, bidding strategies, and landing pages
Google Ads
Data Analysis
Performance Marketing
SQL
Design, build, and maintain scalable batch and streaming data pipelines. Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools. Improve data quality, validation, monitoring, and observability across the platform.
Python
SQL
Spark
Airflow
PySpark
Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end. Own the full ML workflow from problem framing to production deployment and monitoring. Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.
Python
SQL
Scikit-learn
PyTorch
TensorFlow