Senior Product Lead
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English (technical reading) and Portuguese (team collaboration)
- Required Skills
- Product ManagementData analyticsLangChain
Requirements
- Strong familiarity with LLMs, including differences between models, providers, and practical use cases.
- Hands-on understanding of AI agent frameworks or tools such as LangChain, LangFlow, n8n, or similar ecosystems.
- Proven ability to work across engineering, design, and business conversations without losing clarity or depth in any domain.
- Strong data-driven mindset with experience using analytics, dashboards, and experimentation to guide product prioritization.
- Experience in developer-facing products, with an understanding of developer experience (DX) principles and success metrics.
- Track record of leading product teams and managing stakeholders in complex, high-ambiguity environments.
- Strong communication skills in English (technical reading) and Portuguese (team collaboration).
- Experience building or managing AI gateway, LLM proxy, or AI infrastructure products is a strong plus.
Responsibilities
- Lead product strategy and execution across two core AI squads, including an LLM gateway and an AI agent orchestration platform, ensuring alignment with broader platform goals.
- Own and continuously evolve the product roadmap, integrating discovery insights, usage analytics, and strategic priorities in a fast-moving AI context.
- Act as the voice of the user by conducting research, analyzing behavioral data, and translating developer and platform needs into clear product direction.
- Serve as the bridge between engineering, design, and business stakeholders, ensuring technical feasibility, user experience quality, and business value remain aligned.
- Prioritize initiatives using quantitative and qualitative data, including observability metrics, user feedback, and product analytics.
- Lead cross-functional discussions, negotiate scope, and manage stakeholder expectations with clarity and accountability.
- Monitor the AI ecosystem, including emerging models, frameworks, and agent technologies, and incorporate insights into product decisions.
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