Technical Product Manager

Summary

Join The Browser Company as a Technical Product Manager, AI Evals and help build the foundation for Dia, our browser-native AI assistant. This role involves creating high-quality datasets for model evaluation and training. You will partner with engineers and product owners to ensure datasets are comprehensive and effective. Deep understanding of user needs and translating them into training data examples is crucial. You will use support tickets and user feedback to inform dataset creation and establish quality standards. This position requires 3+ years of experience in AI evaluation and 5+ years working with large datasets.

Requirements

• You have 3+ years of hands-on experience with AI evaluation (”evals”), data labeling, or model fine-tuning. You have a strong understanding of best practices in these areas
• You have 5+ years of experience working with large datasets, from spreadsheets to user feedback, in a technical, product, or QA role
• You understand how users think about product capabilities, can distinguish between current features and future potential, and collaborate across teams to turn insights into action
• You're comfortable with technical tools like GitHub and can navigate engineering-adjacent systems (Sqlite, Python, Braintrust, or Xcode experience are a plus!)
• You're excited about AI, language models, and taking creative approaches to dataset creation to ensure diverse, high-quality examples for AI training and evaluation
• We're primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone

Responsibilities

• Build high-quality datasets for model evaluation and training, from targeted eval sets to large-scale training data
• Partner with engineers to ensure datasets are comprehensive, properly formatted, and easy to use
• Work with product owners to understand product goals and translate them into effective training data
• Collaborate with User Research and Membership teams to understand user needs deeply
• Use support tickets and user feedback to inform and inspire dataset creation
• Establish and maintain quality standards for our datasets
• Navigate technical tools to manage and update training data

Benefits

• Flexible compensation model, employees have the ability to choose the cash-to-equity ratio that best suits their individual needs. Every offer we extend includes three options: a salary-optimized offer, an equity-optimized offer, and a balanced offer
• The annual salary range for this role is $140,000- $190,000 USD . The actual salary range offered will vary based on experience level and interview performance
• Comprehensive benefits package with employee medical, dental, and vision - we cover 100% of premiums for employees, and up to 95% for dependents
• 401k plan
• Flexible vacation policy - on average, our team members take between 15-20 vacation days plus federal holidays (holidays vary by location)
• Remote-friendly working environment - our core working hours are 11 AM-2 PM Eastern Time, Monday-Friday
• 12 weeks of paid parental leave
• $1,500 USD home office stipend
• Employees based in the US also receive additional services like free annual memberships to One Medical (where available), Talkspace, Teladoc, and HealthAdvocate