JOB-1481
A fast-growing startup applies AI to the daily chores of data engineering teams, such as documentation and performance tuning, and delivers it inside tools those teams already use. Enterprise customers pay for the product and a large free user base keeps feeding requests, so the company is expanding its product group.
Responsibilities
- Define strategy and roadmap by spending time with customers and users to uncover the key use cases
- Partner with designers to craft interfaces built natively around generative AI
- Pair with strong engineers to deliver new capabilities that surpass what customers expect
- Speak for the user base internally and support sales and support colleagues on key enterprise accounts, before and after the sale
- Work with marketing on pricing, positioning, messaging and demand generation
- Work directly with the founders on engineering priorities as well as how the product reaches customers
Qualifications
- Three or more years in product management, ideally at a seed to Series B startup
- Experience building and launching products from zero to one for technical users
- Solid grasp of the modern data stack, such as dbt, Snowflake, Spark, Airflow and Databricks
- Daily use of AI coding tools
- Experience with products built natively on generative AI is a bonus, as is a past data engineering role
- Technical degree in math, computer science or similar is a plus
Hybrid in the South Bay Area of Silicon Valley. Visa transfers are considered case by case.
