Senior Product Builder (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Product Builder (AI): Designing and building end-to-end AI-powered workflows and agentic systems with an accent on rapid prototyping, user validation, and production-grade evaluation. Focus on defining AI system architecture, managing token economics, and shipping functional prototypes that bridge the gap between product insight and engineering execution.
Location: Must be based in Serbia (Remote)
Company
is an AI-native platform transforming the $100B multilingual content industry by enabling enterprises to build hybrid workforces of humans and AI agents.
What you will do
- Build functional prototypes using AI development tools before planning sprints.
- Design end-to-end AI workflows, including input, reasoning, and action chains.
- Define and manage the evaluation layer to ensure AI output quality and reliability.
- Analyze and optimize token usage, latency, and unit economics for AI features.
- Validate product concepts directly with users through working artifacts.
- Ship production-ready AI features in a high-autonomy, paired product-engineering model.
Requirements
- 4+ years in a product role, with at least 2 years focused on AI-powered products.
- Demonstrated ability to build working prototypes using tools like Claude Code, Cursor, or v0.
- Hands-on experience designing agentic workflows, including tool use and multi-step reasoning.
- Clear understanding of RAG, prompt architecture, and model-vs-rule decision making.
- Experience defining and running evals for AI features in production.
- Track record of shipping products from zero to production.
Nice to have
- Experience building AI tools independently outside of a professional role.
- Background in paired product-engineering environments.
- Small team or startup experience.
Culture & Benefits
- High-trust, high-accountability environment with significant autonomy.
- Work within a globally distributed team across 30+ countries.
- AI-native organization that encourages experimentation and agent management.
- Fast-paced growth environment transitioning from Series C to scale-up.
- Focus on outcome-based reviews rather than traditional status updates.
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