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dLocal
AI Product Manager - Agentic Development
at dLocal
about 12 hours ago | 22 views | Be the first one to apply

AI Product Manager - Agentic Development

Full-time
Remote

About the company

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

Job Summary

Key Responsibilities

📍Product strategy and roadmap: Define the strategy for Agentic Development across the SDLC; prioritize capabilities that expand task coverage, increase first‑pass PR quality, and reduce rework. 📍Expand capabilities of the agent: Improve ticket understanding and planning, broaden language/repo/task coverage, harden validation (build/test/security), and evolve orchestration/runtime to boost throughput and reliability. 📍Prioritization, metrics, and impact: Instrument and track operational and impact metrics (e.g., funnel conversion, PR first‑pass approval, cycle time decomposition, DORA‑adjacent signals) and use them to guide the roadmap and rollouts. 📍Developer adoption and enablement: Drive onboarding at the squad/team level; standardize templates and best practices (e.g., repository conventions, testing gates); deliver clear documentation, demos, and training to increase usage and satisfaction.

What You’ll Need

📍Real software development experience: 5+ years hands‑on software engineering, having shipped and operated production code; fluency with Git, code review, CI/testing, and modern backend or frontend stacks. 📍Product management experience: 3+ years as a PM (or equivalent product ownership), preferably in developer tools, platforms, ML/AI systems, or infrastructure; track record of shipping impactful products. 📍Applied AI exposure: Practical experience building with LLMs/agents (function calling/tools, retrieval/context engineering, evaluation harnesses), and balancing capability with safety/cost. 📍Technical depth plus product judgment: Ability to read/reference code and architecture, prototype to de‑risk ideas, and define clear problem statements, metrics, and success criteria. 📍Data‑driven execution: Comfortable designing metrics, running experiments, and using telemetry to prioritize and validate changes. 📍Communication and leadership: Excellent written/spoken communication; proven ability to align engineering, platform, and business stakeholders.

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