Swe (Latm)
AfterQuery
Remoto
San Francisco (Remote)
Uncategorized
Job Score
90 pts
Remote model (+90)
About AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development.
We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve.
This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
Why Apply
Massive Opportunity:
We were one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.
Founding Impact:
You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth:
Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team:
Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.
Overview
As one of our Latin American engineers, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.
Responsibilities
Design and build scalable systems, focusing on our AfterQuery Experts site
Collaborate across research, product, and design to ship features quickly without sacrificing quality
Write clean, maintainable code and contribute to documentation
Participate in code reviews and design discussions
Solve real-world scalability and reliability challenges
Contribute to the core infrastructure powering data and evaluation for the world's leading AI labs
Required Qualifications
Ideally 5+ years of experience
Strong coding fundamentals in Node.js and TypeScript, Python, and/or Go
Deep understanding of distributed systems, scalability challenges, and system design
Familiarity with cloud platforms such as GCP or AWS, Kubernetes, APIs, and NoSQL databases
Ability to reason about trade-offs and balance speed versus reliability under pressure
Active GitHub with real projects demonstrating you are a builder at heart
Works autonomously and collaboratively without burning out under heavy load
Proactive, identifies problems and drives solutions without being told to
High-output and high-accountability mindset, can work banker hours when needed
Strong bias toward delivering simple solutions to complex problems
Strong written and verbal communication skills
Can clearly and compellingly articulate why they want to join a startup and work in AI now
Preferred Qualifications
Background as a founding engineer at a high-growth startup
Ex-founder of a technically sophisticated and complex product
Has trialed or succeeded in past fast-paced startup roles with strong references
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Mobile Development
Mobile Development is one of the most dynamic and constantly evolving fields in the technology market. With billions of smartphones worldwide, the demand for qualified mobile developers continues to grow exponentially.
Key stacks include Flutter (Dart), React Native (JavaScript/TypeScript), Kotlin (Android native), Swift (iOS native), and hybrid frameworks like Ionic and Capacitor. Knowledge of mobile architecture (MVVM, Clean Architecture), mobile CI/CD (Fastlane, Bitrise, Codemagic), and App Store/Google Play publishing are essential.
Senior mobile developers are highly valued professionals, with competitive salaries and many remote work opportunities at international companies. Specializing in cross-platform or native is a strategic career decision.
About Automation Engineer
The Automation Engineer is the professional responsible for designing, developing, and implementing solutions that automate manual and repetitive processes in IT, infrastructure, testing, and operations. They combine programming knowledge with DevOps and SRE vision to eliminate manual tasks and increase operational efficiency.
Key skills include Infrastructure as Code (Terraform, Ansible, Pulumi), CI/CD (Jenkins, GitHub Actions, GitLab CI), test automation (Selenium, Cypress, Playwright), network automation (Netconf, SDN), RPA (UiPath, Power Automate), and scripting (Python, Bash, PowerShell). Knowledge of Kubernetes, GitOps (ArgoCD, Flux), and automation platforms is a differentiator.
Automation Engineers in technology companies are highly valued, especially those who can create automated deployment pipelines, self-healing infrastructure, and internal developer platforms (IDP). The field offers opportunities from junior automation engineer to automation architect and head of automation.
About IT Governance
IT Governance is the area responsible for ensuring that information technology resources are used strategically, efficiently, and in compliance with standards and regulations. IT governance professionals ensure that technology supports business objectives in a secure and reliable manner.
Key skills include IT service management (ITIL), IT audit and compliance, risk management, business continuity, disaster recovery, metrics and indicators (SLAs, KPIs), and strategic alignment between IT and business. Frameworks like COBIT, ITIL, ISO 27001, and compliance standards are essential.
IT Governance professionals in technology companies are highly valued, especially those who master ITSM, IT audit, and risk management. The field offers opportunities from governance analyst to CIO/CTO, with a focus on efficiency, compliance, security, and business value.
About Automation Analyst
The Automation Analyst is the professional responsible for identifying process optimization opportunities and developing automated workflows (RPA, scripts, or integrations). They map manual and repetitive tasks across various company areas and build automation solutions using low-code/no-code platforms (such as Zapier, Make, Power Automate, n8n) or RPA tools (such as UiPath), driving operational efficiency and error reduction.
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.