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Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
Join Labelbox’s product-led growth team as the first Product Growth Analyst. Your primary mission will be to define the objectives of growth initiatives and ensure we can measure their impact. At Labelbox, we're all about data driving important decisions, not just churning out dashboards. There's plenty of information to work with, backed by solid data engineering. You will focus on impactful, timely, and easy-to-understand growth insights. Succeeding in this role leads to more advanced data science projects and deeper involvement in product development.
Your Day to Day
- Define core Product-Led Growth and B2B product metrics, create and maintain dashboards for them.
- Analyze metric changes and trends, diving deep into the data.
- Plan and analyze growth experiments, even in low-volume scenarios.
- Contribute to refining our quantitative growth model for better forecasting and goal-setting.
- Identify and prioritize growth opportunities for long-term success.
About You
- 3+ years of experience in Product analytics.
- Strong grasp of PLG metrics.
- Proficiency in SQL.
- Proficiency in data visualization tools (Looker, Tableau, Amplitude).
- Ability to analyze data rigorously and communicate findings to both technical and non-technical audiences.
- Excellent communication and collaboration skills in diverse environments.
Nice to Have
- Experience in data engineering, with skills in Segment and Hightouch.
- Marketing analytics experience.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Excel in a remote-friendly hybrid model.
We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.
