Open Roles

We are seeking a detail-oriented Product Owner (Contractor) to support the execution of AI and automation initiatives across our Central platform. This role is focused on delivery, documentation, and backlog ownership, not product strategy or roadmap direction. The Product Owner will work closely with Product Managers and Engineering teams to translate defined product priorities into clear user stories, workflow documentation, and detailed requirements that enable successful delivery of AI-powered automation capabilities.  This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment. Key Responsibilities Backlog Ownership & Agile Execution  Own and manage the delivery backlog for AI and automation-related product work Write detailed user stories, functional requirements, and acceptance criteria Break down initiatives into well-scoped epics, stories, and tasks Support Agile ceremonies including sprint planning, refinement, reviews, and retrospectives Partner with Engineering to clarify scope and remove blockers  AI & Automation Workflow Enablement  Analyze and document end-to-end workflows suitable for AI-driven automation Translate operational processes into clear, executable automation requirements Define business rules, inputs, outputs, dependencies, and exception handling Support AI-enabled capabilities including ingestion, reconciliation, orchestration, and GenAI assistants Ensure workflows are well-documented and testable  Qualifications  2+ years of experience in a Product Owner, Business Analyst, or delivery-focused role Strong experience writing user stories and supporting Agile teams Prior experience with AI, automation, or SaaS platforms is a must Experience in FinTech or Payments is a plus Excellent written and verbal communication skills 

The Tech Lead is responsible for translating product ideas and data science capabilities into production-ready AI solutions. This role partners closely with Product Management and the Data Science Leader to rapidly design, prototype, and ship AI-driven features that deliver measurable business value. This is a highly hands-on technical leadership role focused on speed, pragmatism, and production quality, balancing experimentation with scalable engineering practices.   This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment. Key Responsibilities  AI Solution Delivery & Architecture  Lead the technical design and implementation of AI-powered product features from concept through production.  Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration.  Make pragmatic decisions to accelerate delivery while maintaining system integrity.  Ensure AI solutions are secure, observable, scalable, and aligned with platform standards.  Pod Leadership & Execution  Act as the technical lead for a cross-functional AI Pod.  Break down product requirements into executable technical workstreams and prototypes.  Guide rapid iteration cycles, proofs-of-concept, and MVPs, balancing experimentation with production readiness.  Review code, architecture, and technical decisions to maintain quality and velocity.  Product & Data Collaboration  Partner closely with Product Management to shape problem definitions, success metrics, and delivery plans.  Collaborate with the Data Science Leader to integrate models, analytics, and data assets into product workflows.  Translate data science outputs into consumable APIs, services, and product features.  Provide technical feedback on feasibility, scope, and tradeoffs during product discovery.  Operationalization & Quality  Ensure features are production-grade, including monitoring, logging, and performance tracking.  Implement guardrails around AI usage, including reliability, latency, cost controls, and failure modes.  Support experimentation frameworks, A/B testing, and post-launch learning loops.  Drive responsible AI practices, including explainability, bias awareness, and data privacy considerations.  Technical Standards & Enablement  Define and enforce lightweight engineering standards for AI-enabled systems.  Promote reuse of components, prompts, pipelines, and services across AI initiatives.  Mentor pod engineers on AI-adjacent system design and best practices.  Contribute to internal documentation and shared AI patterns/playbooks.    Required Qualifications  BS or MS in Computer Science, Engineering, or related technical field.  5+ years of software engineering experience, including leading complex systems.  Strong experience designing and building production APIs and backend services.  Proficiency in Python and at least one backend language (e.g., Java, Node.js, Go).  Experience with cloud-native architectures (AWS, GCP, or Azure).  Solid understanding of data pipelines, model serving, and system observability.  Ability to work closely with product teams in fast-moving, iterative environments.    Preferred Qualifications  Experience working in AI-first or data-driven product teams.  Familiarity with modern LLM platforms, prompt engineering, and agent frameworks.  Experience operationalizing ML models (model serving, monitoring, versioning).  Exposure to experimentation platforms, feature flags, and A/B testing.  Experience in Agile or product-led development environments.   

Enumerate is hiring a Full Stack Engineer to join our team! This is a highly hands-on role for engineers who thrive in product-driven environments, move quickly, and are comfortable working alongside APIs, and data-rich systems. This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment. Key Responsibilities  End-to-End Feature Development  Design and implement user-facing features across frontend and backend systems Build and evolve APIs and services that integrate data pipelines and product workflows Translate product requirements and UX designs into high-quality, maintainable code Rapidly prototype and iterate based on user feedback and experimentation results Frontend & UX Integration  Implement intuitive user interfaces  Handle edge cases, fallbacks, and user feedback Ensure UI performance, accessibility, and responsiveness.  Backend & Integration  Develop backend services that orchestrate business logic, and data access.  Integrate with internal APIs, data services, and third-party AI platforms.  Implement secure, scalable request handling, including latency and cost considerations Support feature flags, configuration, and experimentation frameworks.  Quality, Reliability & Observability  Write automated tests across frontend and backend components.  Implement logging, monitoring, and basic performance tracking  Participate in code reviews and adhere to team engineering standards  Help diagnose and resolve production issues   Required Qualifications  BS or equivalent experience in Computer Science, Engineering, or related field.  4+ years of experience building full stack web applications.  Proficiency in modern frontend frameworks (e.g., React, Vue, or similar).  Strong backend experience with at least one language such as Python, Node.js, Java, or Go.  Experience building and consuming REST or GraphQL APIs.  Familiarity with cloud environments (AWS, GCP, or Azure).  Preferred Qualifications  Experience working with experimentation platforms, feature flags, or A/B testing.  Exposure to data pipelines or analytics tooling.  Comfort working in fast-moving, iterative product teams.