Why should you join dLocal
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 worlds fastest-growing emerging markets.
By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000 teammates from 30 different nationalities and developing an international career that impacts millions of peoples 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.
Whats the opportunity
We are looking for a Head of Developer Productivity to lead the strategy execution and continuous improvement of the tools workflows and AI-powered systems that make our engineers more productive every day.
In this role you will own the Developer Productivity (DevPro) vision and multi-year roadmap inside Cloud Platform. You will lead a team composed of several specialized sub-teams including an AI software-engineering agent squad an internal frameworks and libraries team a CI/CD and platform tooling team and a shared applications team and you will be accountable for how all of them come together to reduce engineering friction improve delivery metrics and embed AI into every phase of the Software Development Lifecycle (SDLC).
This is an AI-leadership role. We already have a production ecosystem of AI agents that automate coding planning code review and vulnerability remediation across the SDLC and we are actively expanding it. Your mission is to scale these capabilities drive adoption across the engineering organization and make AI the default way engineers work at dLocal.
You will partner closely with AI Labs AI Engineering Platform SRE Security and Product teams to shape how AI agents engineering metrics internal frameworks and our Internal Developer Platform converge into a cohesive high-leverage developer experience.
What will you do
AI Strategy & Agent Ecosystem
Own the roadmap and prioritization for AI-powered developer workflows across the full SDLC: autonomous code generation agents AI planning agents that break down epics into developer-ready tasks AI code-review tools AI-assisted test generation automated vulnerability remediation and AI-driven incident investigation.
Act as the product owner for the AI agent ecosystem: define use cases success metrics adoption targets safety policies and rollout strategy. Measure end-to-end automation rates (from ticket creation to merged PR) and continuously raise the bar.
Drive the architecture and integration of AI agents with existing developer tools issue trackers source control CI/CD pipelines IDEs observability platforms and the Internal Developer Platform so that AI is embedded contextually where engineers already work not bolted on as a side tool.
Champion the adoption of Model Context Protocol (MCP) and similar standards to connect AI agents with internal documentation service catalogs logs and production data enabling agents that dont just read code but understand the full operational context.
Engineering Metrics & DORA
Define build and operate a unified engineering metrics platform that calculates DORA metrics (Lead Time for Changes Deployment Frequency Change Failure Rate Mean Time to Recovery) from real data across source control issue tracking and deployment systems with consistent and auditable definitions.
Set organization-wide targets for engineering delivery metrics and use them to identify bottlenecks prioritize investments and demonstrate the measurable impact of Developer Productivity and AI initiatives.
Integrate AI-adoption metrics (automation rate AI-generated vs. human-generated code agent throughput first-pass approval rate) into the engineering metrics platform so leadership can track the ROI of AI investments alongside traditional delivery health.
Deliver self-service dashboards and automated reporting so that every team vertical and executive has real-time visibility into their productivity trends.
Developer Experience & Internal Platform
Own the developer experience strategy: run SPACE-framework developer satisfaction surveys track Customer Effort Scores and use qualitative and quantitative signals to continuously improve how engineers interact with the platform.
Champion the evolution of the Internal Developer Platform (service catalog self-service actions golden-path templates scaffolding) so that creating a new service deploying to production or triggering an AI agent is a frictionless self-service experience.
Lead the internal frameworks and libraries team ensuring that shared application frameworks across languages (Go Java JavaScript/TypeScript) are standardized well-maintained and continuously improved reducing boilerplate and letting engineers focus on business logic.
Oversee the CI/CD platform team: GitHub Actions workflows container builds GitOps deployments release governance and environment management ensuring pipelines are fast reliable and increasingly AI-augmented.
People Management & Enablement
Manage grow and inspire a multi-squad Developer Productivity team (currently 15 engineers across sub-teams focused on AI agents internal frameworks CI/CD tooling and shared applications). Hire and develop technical leaders who think AI-first.
Lead change management and enablement for AI adoption across engineering: create onboarding programs RFCs internal talks documentation and hands-on workshops that help every team understand and leverage AI tools effectively.
Facilitate cross-team collaboration: gather feedback from Engineering Managers Staff Engineers and ICs; translate pain points into actionable initiatives; communicate trade-offs and decisions clearly to both technical and non-technical stakeholders.
Partner with Security and Compliance to embed secure-by-design practices into AI workflows including clear policies for when AI agents can propose implement or auto-merge changes especially for security-sensitive operations like vulnerability remediation.
Which skill do you need
- 8 years of experience in Software Engineering Platform Engineering DevEx or related roles with 4 years in a management or senior leadership position overseeing Developer Productivity Developer Experience Internal Developer Platform or similar teams.
- Strong people-management experience: track record of building scaling and retaining high-performing engineering teams. Ability to coach engineers and managers toward technical leadership and create an environment where teams ship with high autonomy.
- Demonstrated experience leading AI-powered developer-tools initiatives: you have shipped or product-managed AI coding agents LLM-based code-review tools AI planning assistants or similar developer-facing AI products not just experimented with them but driven measurable adoption and impact at scale.
- Deep understanding of DORA metrics and engineering-productivity measurement: you know how to define instrument and use Lead Time Deployment Frequency Change Failure Rate and MTTR to drive decisions. Experience building or operating engineering metrics platforms is a strong plus.
- Excellent communication and stakeholder-management skills: comfortable working with engineering leaders individual contributors security product and AI teams in a fast-moving global organization.
You will stand out if you have:
- Direct experience building or product-managing autonomous AI software-engineering agents (e.g. systems that take a task description plan changes generate code across repositories run tests and open pull requests with human-in-the-loop review and safety guardrails).
- Experience with LLM orchestration patterns for developer tools: model routing prompt engineering agent planning phases tool-use and function-calling architectures MCP integrations evaluation frameworks and cost optimization.
- Experience deploying and operating systems on AWS and Kubernetes/EKS including GitOps Argo CD/Workflows and advanced CI/CD pipelines.
- Strong track record of public speaking or internal evangelism around engineering culture Developer Experience or AI-first engineering practices.
- Experience using SPACE framework developer NPS and developer-experience surveys to measure and improve engineering satisfaction alongside delivery metrics.
What do we offer
Besides the tailored benefits we have for each country dLocal will help you thrive and go that extra mile by offering you:
- Flexibility: we have flexible schedules and we are driven by performance.
- Fintech industry: work in a dynamic and ever-evolving environment with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Social budget: youll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team Weve got your back!
Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and depending on your role and location you will combine selfmanaged focus time with moments of inperson connection in our collaboration hubs.
What happens after you apply
Our Talent Acquisition team is invested in creating the best candidate experience possible so dont worry you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Director
Why should you join dLocaldLocal 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 opera...
Why should you join dLocal
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 worlds fastest-growing emerging markets.
By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000 teammates from 30 different nationalities and developing an international career that impacts millions of peoples 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.
Whats the opportunity
We are looking for a Head of Developer Productivity to lead the strategy execution and continuous improvement of the tools workflows and AI-powered systems that make our engineers more productive every day.
In this role you will own the Developer Productivity (DevPro) vision and multi-year roadmap inside Cloud Platform. You will lead a team composed of several specialized sub-teams including an AI software-engineering agent squad an internal frameworks and libraries team a CI/CD and platform tooling team and a shared applications team and you will be accountable for how all of them come together to reduce engineering friction improve delivery metrics and embed AI into every phase of the Software Development Lifecycle (SDLC).
This is an AI-leadership role. We already have a production ecosystem of AI agents that automate coding planning code review and vulnerability remediation across the SDLC and we are actively expanding it. Your mission is to scale these capabilities drive adoption across the engineering organization and make AI the default way engineers work at dLocal.
You will partner closely with AI Labs AI Engineering Platform SRE Security and Product teams to shape how AI agents engineering metrics internal frameworks and our Internal Developer Platform converge into a cohesive high-leverage developer experience.
What will you do
AI Strategy & Agent Ecosystem
Own the roadmap and prioritization for AI-powered developer workflows across the full SDLC: autonomous code generation agents AI planning agents that break down epics into developer-ready tasks AI code-review tools AI-assisted test generation automated vulnerability remediation and AI-driven incident investigation.
Act as the product owner for the AI agent ecosystem: define use cases success metrics adoption targets safety policies and rollout strategy. Measure end-to-end automation rates (from ticket creation to merged PR) and continuously raise the bar.
Drive the architecture and integration of AI agents with existing developer tools issue trackers source control CI/CD pipelines IDEs observability platforms and the Internal Developer Platform so that AI is embedded contextually where engineers already work not bolted on as a side tool.
Champion the adoption of Model Context Protocol (MCP) and similar standards to connect AI agents with internal documentation service catalogs logs and production data enabling agents that dont just read code but understand the full operational context.
Engineering Metrics & DORA
Define build and operate a unified engineering metrics platform that calculates DORA metrics (Lead Time for Changes Deployment Frequency Change Failure Rate Mean Time to Recovery) from real data across source control issue tracking and deployment systems with consistent and auditable definitions.
Set organization-wide targets for engineering delivery metrics and use them to identify bottlenecks prioritize investments and demonstrate the measurable impact of Developer Productivity and AI initiatives.
Integrate AI-adoption metrics (automation rate AI-generated vs. human-generated code agent throughput first-pass approval rate) into the engineering metrics platform so leadership can track the ROI of AI investments alongside traditional delivery health.
Deliver self-service dashboards and automated reporting so that every team vertical and executive has real-time visibility into their productivity trends.
Developer Experience & Internal Platform
Own the developer experience strategy: run SPACE-framework developer satisfaction surveys track Customer Effort Scores and use qualitative and quantitative signals to continuously improve how engineers interact with the platform.
Champion the evolution of the Internal Developer Platform (service catalog self-service actions golden-path templates scaffolding) so that creating a new service deploying to production or triggering an AI agent is a frictionless self-service experience.
Lead the internal frameworks and libraries team ensuring that shared application frameworks across languages (Go Java JavaScript/TypeScript) are standardized well-maintained and continuously improved reducing boilerplate and letting engineers focus on business logic.
Oversee the CI/CD platform team: GitHub Actions workflows container builds GitOps deployments release governance and environment management ensuring pipelines are fast reliable and increasingly AI-augmented.
People Management & Enablement
Manage grow and inspire a multi-squad Developer Productivity team (currently 15 engineers across sub-teams focused on AI agents internal frameworks CI/CD tooling and shared applications). Hire and develop technical leaders who think AI-first.
Lead change management and enablement for AI adoption across engineering: create onboarding programs RFCs internal talks documentation and hands-on workshops that help every team understand and leverage AI tools effectively.
Facilitate cross-team collaboration: gather feedback from Engineering Managers Staff Engineers and ICs; translate pain points into actionable initiatives; communicate trade-offs and decisions clearly to both technical and non-technical stakeholders.
Partner with Security and Compliance to embed secure-by-design practices into AI workflows including clear policies for when AI agents can propose implement or auto-merge changes especially for security-sensitive operations like vulnerability remediation.
Which skill do you need
- 8 years of experience in Software Engineering Platform Engineering DevEx or related roles with 4 years in a management or senior leadership position overseeing Developer Productivity Developer Experience Internal Developer Platform or similar teams.
- Strong people-management experience: track record of building scaling and retaining high-performing engineering teams. Ability to coach engineers and managers toward technical leadership and create an environment where teams ship with high autonomy.
- Demonstrated experience leading AI-powered developer-tools initiatives: you have shipped or product-managed AI coding agents LLM-based code-review tools AI planning assistants or similar developer-facing AI products not just experimented with them but driven measurable adoption and impact at scale.
- Deep understanding of DORA metrics and engineering-productivity measurement: you know how to define instrument and use Lead Time Deployment Frequency Change Failure Rate and MTTR to drive decisions. Experience building or operating engineering metrics platforms is a strong plus.
- Excellent communication and stakeholder-management skills: comfortable working with engineering leaders individual contributors security product and AI teams in a fast-moving global organization.
You will stand out if you have:
- Direct experience building or product-managing autonomous AI software-engineering agents (e.g. systems that take a task description plan changes generate code across repositories run tests and open pull requests with human-in-the-loop review and safety guardrails).
- Experience with LLM orchestration patterns for developer tools: model routing prompt engineering agent planning phases tool-use and function-calling architectures MCP integrations evaluation frameworks and cost optimization.
- Experience deploying and operating systems on AWS and Kubernetes/EKS including GitOps Argo CD/Workflows and advanced CI/CD pipelines.
- Strong track record of public speaking or internal evangelism around engineering culture Developer Experience or AI-first engineering practices.
- Experience using SPACE framework developer NPS and developer-experience surveys to measure and improve engineering satisfaction alongside delivery metrics.
What do we offer
Besides the tailored benefits we have for each country dLocal will help you thrive and go that extra mile by offering you:
- Flexibility: we have flexible schedules and we are driven by performance.
- Fintech industry: work in a dynamic and ever-evolving environment with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Social budget: youll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team Weve got your back!
Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and depending on your role and location you will combine selfmanaged focus time with moments of inperson connection in our collaboration hubs.
What happens after you apply
Our Talent Acquisition team is invested in creating the best candidate experience possible so dont worry you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Director
View more
View less
Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
