You will define the product vision and venture strategy for an early-stage AI startup within JetBrains. This involves conducting customer discovery, running rapid experiments, and collaborating with engineering to ship agentic AI experiences.
You will act as a bridge between global engineering teams and product developers by diagnosing complex technical issues and identifying root causes. Additionally, you will provide workarounds, document solutions using KCS principles, and share user feedback to drive product improvements.
You will own the technical architecture and core systems for GrowthBricks, building agentic workflows that integrate business context across GTM stacks. You will prototype, iterate, and write early-stage code to turn fragmented data into reliable memory and actionable agent outcomes.
You will design, build, and operate backend services that manage customer entitlements, quotas, and billing data. You will also own end-to-end data flows and execute live system migrations while ensuring high performance and reliability.
You will be responsible for building an acquisition strategy from scratch by running parallel experiments across various channels to identify what converts. You will also work closely with the product team to ship acquisition-focused features and maintain end-to-end funnel tracking.
Develop and execute technical product marketing strategies for .NET developer tools including Rider and ReSharper. Create compelling content such as launch stories, blog posts, and case studies while collaborating with product and engineering teams.
You will own and evolve the automated testing platform for TeamCity, focusing on building tooling and frameworks that enable product engineers to ship code confidently. Additionally, you will integrate AI into quality workflows, identify and resolve test flakiness, and mentor teams on solid test design.
You will own the entire SDLC for identity and access management services, including architecture, development, and operations. You will also design new features and maintain service reliability across the platform using Kotlin and Go.
The developer will design and maintain internal web applications and services while managing their architecture, implementation, and deployment. They will also collaborate with teams to evolve shared infrastructure and improve system reliability, scalability, and observability.
You will develop and ship features for the Junie AI coding agent across CLI and model integrations while experimenting with model setups and cost efficiency. You will also build and test autonomous agent behaviors to ensure the tool can maintain complex engineering projects over long-term horizons.
Act as the public face of DataGrip by engaging with database professionals across online communities and industry conferences. Bridge the gap between users and the product team by gathering real-world feedback and creating high-quality technical content.
Lead a small design team to evolve project management and issue tracking tools within an AI-native framework. Balance high-level design quality and systemic coherence across a complex product while acting as an individual contributor on difficult problems.
