Product Manager | Kimchi AI Coding Platform

Accountabilities:: Explore customer needs, usage data, technology developments, competitive products, and market signals to identify high-value problems and product opportunities. Turn ambiguous opportunities into clearly defined problems, hypotheses, assumptions, experiments, and product direction. Lead 0→1 product development from initial insight and discovery through validation, launch, adoption, and iteration. Design efficient ways to validate whether problems are meaningful and proposed solutions deliver measurable customer value. Make prioritization decisions based on customer evidence, product data, market signals, technical constraints, and strategic considerations. Conduct customer discovery, observe workflows, understand underlying motivations and constraints, and distinguish individual requests from broader market needs. Partner closely with engineering and design teams to shape solutions and evaluate technical possibilities and trade-offs. Define customer and business outcomes, establish appropriate success metrics, and use evidence to guide product decisions. Remain accountable after launch by monitoring adoption, usage, customer value, and opportunities for improvement. Create concise product narratives, one-pagers, PRDs, decision documents, and other written materials that align distributed teams around priorities and rationale. Communicate complex technical and product concepts clearly to both technical and non-technical stakeholders. Help shape the evolving product strategy, customer understanding, market positioning, and product development practices. Requirements: Significant experience owning software products end-to-end at a Senior Product Manager level or equivalent. Strong 0→1 product management experience, taking products or significant product areas from ambiguous opportunities through discovery, validation, launch, and iteration. Demonstrated ability to operate effectively in ambiguous, greenfield, rapidly changing, or emerging product environments. Strong product judgment and problem-selection skills, with the ability to determine which opportunities are worth pursuing before investing heavily in solutions. Excellent customer discovery skills and the ability to uncover underlying problems rather than simply responding to stated feature requests. Strong analytical capabilities, combining qualitative insights, product data, market signals, and technical constraints to make informed decisions. Experience working closely with highly technical engineering teams and sufficient technical curiosity to understand complex systems, possibilities, and trade-offs. Strong written and verbal communication skills, particularly the ability to simplify complex topics without losing important nuance. Demonstrated bias toward experimentation, learning, and evidence-based decision-making rather than relying on large upfront plans. Comfort making decisions with incomplete information and changing direction when new evidence warrants it. Hands-on experience using modern AI tools and an active interest in understanding how LLMs and AI agents affect both products and product development workflows. Experience with developer tools or products built for software engineers is a plus. Experience with AI/ML products, LLM infrastructure, AI agents, or AI-powered developer tools is advantageous. Experience with infrastructure, platforms, APIs, or technically complex B2B products is beneficial. Experience discovering product-market fit, working at an early-stage startup, or launching new products within a larger organization is a plus. Experience with enterprise products and direct customer engagement during discovery and product development is advantageous. Ability to work independently, take ownership, and thrive in a fast-moving distributed environment. Benefits: Competitive salary. Flexible, remote-first working environment. Equity options. Opportunity to collaborate with a global team of cloud and technology specialists. Fast-paced product development environment, with many feature projects completed within 1–4 weeks. 10% of work time dedicated to personal projects or self-improvement. Learning budget for professional and personal development, including international conferences and courses. Annual hackathon focused on experimentation, innovation, and team collaboration. Team-building budget and company events. Equipment budget to support an effective remote working setup. Additional days off to support work-life balance. Opportunity to work on emerging AI coding, agent, inference, and infrastructure products.