Entrepreneur in Residence for NoPressure AI startup

JetBrains creates intelligent software development tools for developers and teams. Its products help more than 15 million users and over 300,000 companies solve complex problems, with a mission to make development teams more productive and AI adoptable at scale. NoPressure is an early-stage startup within JetBrains' Innovation Hub. It began with AI-powered simulations for practicing high-stakes workplace conversations and is exploring how agentic AI and real-world context can provide personalized, moment-of-need practice and support at work.

• Define product and venture strategy, identify key uncertainties, and decide what to test and build first
• Conduct continuous customer discovery to understand workplace workflows, pain points, and behaviors
• Identify the ideal customer profile (ICP) and initial use cases for growth
• Design and run lightweight experiments, prototypes, and agentic experiences to test hypotheses before committing engineering resources
• Establish metrics and evaluate commercial and behavioral evidence to decide whether to iterate, double down, or pivot
• Shape positioning, messaging, and early acquisition or sales motions to bring the product to initial customers
• Monitor market shifts, emerging agent architectures, and competitor developments to uncover opportunities
• Collaborate with the technical founder and engineering team to move quickly from ideas to shipped prototypes

• A track record of taking products or ventures from initial ambiguity to launch and early market adoption
• Hands-on experience building, launching, or experimenting with AI/agentic products or emerging technologies
• Experience in early customer acquisition, founder-led sales, positioning, or commercialization
• Experience in L&D, coaching, sales enablement, HR tech, or behavior-change products
• Technical fluency to evaluate agentic workflows and work directly with software engineers
• End-to-end ownership across strategy, discovery, product development, and go-to-market strategy
• A builder mindset that favors quick prototypes and direct learning over waiting for perfect requirements
• Deep curiosity about how people build new skills and navigate challenging workplace interactions
• Comfort with high autonomy, speed, and decision-making under uncertainty
• Strong discovery skills to distinguish genuine demand and observed behavior from polite validation
• Clear, direct communication skills for pitching to and working with senior decision-makers
• Strong collaboration habits when partnering with engineering teams on AI-native products

• Flexible work schedule; work from home or from the office
• Extra days off
• Access to conferences, courses, and language classes
• Relocation support is available
• Free meals and snacks, including lunch and refreshments
• On-site gyms or sports club stipends
• Company-wide celebrations and team gatherings