Job Description

Employment Type: Full-Time

Position Overview

Render is building a powerful and user-friendly cloud platform designed to simplify hosting for developers and teams. Our platform supports a wide range of applications, from static sites to complex multi-service architectures, offering the flexibility of traditional cloud providers without the associated complexity and maintenance. This allows users to focus on product development rather than server management.

Our team is a diverse and talented group dedicated to addressing universal software development challenges. We prioritize rapid iteration, user experience, craft, and reliability, continuously striving for improvement. With over 2 million developers and 100,000+ new sign-ups monthly, Render is experiencing organic, product-led growth. Customers trust Render for its reliable, scalable cloud infrastructure, fully managed datastores, and advanced security and compliance features.

In January 2025, Render secured $80 million in Series C financing, bringing our total funding to $157 million. This investment will accelerate our vision of making cloud infrastructure both powerful and intuitive, catering to the evolving needs of the AI era.

About the Role

As an early member of the Data Science team at Render, you will play a critical role in shaping product strategy and guiding investment decisions through clear, actionable insights. You will be the first to explore many areas of our data, collaborating with cross-functional teams to unlock opportunities and drive innovation.

Responsibilities

• Collaborate with cross-functional teams (Product, Engineering, Marketing) to guide, influence, and support product strategy with data insights.
• Analyze and interpret large, complex datasets to address diverse and challenging business problems using various analytical and statistical techniques.
• Explore and evaluate opportunities for product improvement.
• Develop and track success metrics for product initiatives.
• Provide actionable insights about users, including their working methods, feature discovery, and potential obstacles on the platform.
• Contribute to initiatives aimed at enhancing the reliability and accuracy of our data infrastructure and processes.

Requirements

• At least five years of experience solving analytical problems using quantitative approaches.
• A minimum of four years of experience leading data-driven projects from definition to execution, including:
  • Metric definition
  • Experiment design
  • Aggregation of results from disparate data sources
  • Communication of actionable insights to stakeholders
• A track record of high ownership and taking initiative.
• Experience in cross-functional collaboration, including effective communication with team members of varying skill sets and experience levels.
• Proficiency in SQL.
• Some experience with Python.

Our Data Stack

• Multiple data sources (e.g., Segment, HubSpot, back-end data in Cloud SQL for PostgreSQL)
• ETL to BigQuery with Stitch
• dbt layer for data transformation
• Analysis and reporting with Metabase and MixPanel

Some Projects You Might Work On

• Define metrics for measuring our growing marketing and sales pipelines.
• Provide data to focus efforts on acquisition channels.

Applying to Render

We seek candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we aim for individual and collective improvement. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.

Our interview process is tailored to each role, and we value the candidate experience as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.