Product Builder

Key Responsabilities

• Define product vision, metrics, and strategy based on real customer problems, usage data, and market trends — leading lean discovery processes that validate hypotheses through rapid AI-powered prototyping.
• Lead a stream-aligned squad, prioritize the backlog, remove blockers, and act hands-on in the development, testing, and launch of high-value increments, using AI agents to orchestrate and accelerate execution across the cycle.
• Produce requirements, diagrams, and documentation collaboratively and iteratively, with AI as a core accelerator — reducing friction and keeping engineering, design, and data teams aligned.
• Take full ownership of the product lifecycle ("you build it, you run it"), leveraging AI-powered observability and automation to monitor performance, costs, and reliability while driving continuous improvement.
• Facilitate agile ceremonies (planning, daily stand-ups, reviews, retrospectives, and post-mortems) to promote transparency, continuous learning, and the delivery of tangible business value.

Who you are

• 2–3+ years of experience in software development or in product roles within digital products, such as Product Manager, Technical Product Manager, Product Owner, or other positions embedded in software product teams.
• Real AI fluency: acts as an agent orchestrator, decomposing problems, delegating to AI systems, and combining outputs to multiply productivity.
• Hands-on background in software environments, comfortable with APIs, technical documentation, and integration flows.
• Able to define product vision, set metrics, and translate strategy into an executable roadmap with autonomy.
• Technical fluency: comfortable reading API specs (REST, GraphQL, Webhooks), running basic SQL/NoSQL queries, and discussing architecture trade-offs with engineering teams.
• Familiar with agile methodologies and experienced with plannings, dailies, reviews, and retrospectives.
• Strong communicator: able to simplify technical concepts into clear narratives for both teams and stakeholders.
• Comfortable with product metrics and evidence-based decision making.

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