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.
- Safety, governance, and compliance: Ensure adherence to SDLC policies, auditability of agent actions, and alignment with risk/security requirements.
- Cross‑functional leadership: Partner with Developer Productivity and the rest of the involved teams to ship high‑quality, scalable improvements.
- Execution and iteration: Write crisp requirements and acceptance criteria, run controlled rollouts/experiments, analyze outcomes, and iterate quickly; triage issues and prioritize fixes that unblock teams and keep momentum.
- Stakeholder communication: Maintain operating artifacts (decision logs, KPI tracker, partner requests), and provide updates to leadership on progress, risks, and next bets.
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.
- Experience with agent orchestration/runtime frameworks and workflows (e.g., Metaflow, Argo/Airflow, LangGraph), and LLM observability (e.g., Langfuse/Langsmith).
- Knowledge base/MCP‑style integrations, vector search/RAG, and best‑practices standardization for developer agents.
- Familiarity with CI/test strategies across languages (Java/Go/Python/TypeScript), security scanning and dependency management.
- Background in fintech/payments or other regulated environments; experience with SDLC/audit requirements.
- Fluency in English. Spanish or Portuguese is a plus.
Top Skills
What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries.
With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce:
Payins: Accept local payment methods
Payouts: Compliantly send funds cross-border
Defense Suite: Manage fraud effectively
dLocal for Platforms: Unify your platform’s payment solution
Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners







