--- title: 'Tech Lead at Enumerate' canonical: 'https://feeny.ai/job/tech-lead-enumerate-latin-america-rgxshwy2dt5f' type: 'job' last_seen: '2026-11-04' --- # Tech Lead at Enumerate - **Company:** Enumerate - **Location:** Latin America - **Compensation:** $4k–$5k - **Work type:** remote - **Posted:** 2026-11-02 - **Last confirmed live:** 2026-11-04 - **Apply:** https://job-boards.greenhouse.io/enumerate/jobs/4471060009 ## Job description 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. Total monthly compensation: $3,500—$4,500 USD ## About Enumerate ## Core Business - **Primary industry**: Property management software for homeowners associations (HOAs) and community associations. - **Target customers**: B2B – property management companies, self‑managed associations, board members, treasurers, and community managers. - **Mission**: “Simplify complex community work” and “build what communities rely on” – delivering reliable, connected systems that reduce manual effort and increase financial clarity. ## Products & Services - **Central**: Financial and operational backbone – accounting, payments, approvals, and daily workflows in one connected system. - **Engage**: Resident and board engagement portal – communication, self‑service, payment visibility, 24/7 chat. - **Payments**: Integrated owner and vendor payment processing that flows directly into financial records. - **Accounting**: HOA‑specific accounting workflows with optional bookkeeping services (Enumerate Financial Services). - **Reporting & Analytics**: AI‑powered budgeting, board‑ready reports, and financial dashboards. - **Numa AI**: Practical AI assistant embedded in workflows – automates routine questions, tasks, and processes without adding new tools. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual revenue of **$10.2M**; total funding from at least two private equity rounds (2018 led by American Discovery Capital, 2021 led by Great Hill Partners) - **Notable Investors/Partners**: American Discovery Capital, Great Hill Partners; integrations with financial institutions and property management ecosystem partners. - **Growth Signals**: Acquired ComWeb Internet Solutions (2020) and Sharma & Associates (2021); headcount of ~101 employees (though down 7.6% YoY); active investment in AI‑forward automation and remote engineering roles in LATAM. ## Competitive Advantages - **Purpose‑built for HOAs**: Decades of domain experience from predecessor companies (TOPS Software, Nabr Network, ComWeb, Sharma & Associates) – not a generic property management tool. - **End‑to‑end integration**: Accounting, payments, operations, and resident engagement in one platform, reducing manual re‑entry and fragmentation. - **AI‑enabled workflows**: Numa AI and automation tools that reduce repetitive tasks and improve accuracy. - **Financial services layer**: Optional expert bookkeeping and accounting execution within the same system. ## Strategic Focus - **AI‑forward automation**: Investing in workflow automation, intelligent document processing, and AI‑assisted operations to improve efficiency and scalability. - **Scaling with confidence**: Helping management companies grow without adding overhead through connected workflows and automated processes. - **Operational transformation**: Continuing to build out Enumerate Financial Services as a high‑quality professional services division. ## Why Work Here - **Flexible work**: Supports flexible work environments; many roles are remote (e.g., LATAM‑based contractors). [goenumerate.com/careers] - **Meaningful impact**: Work that supports real communities, finances, and accountability – “work that matters.” [goenumerate.com/careers] - **Culture & values**: Core values include “Own It,” “Raise the Bar,” “Win Together,” “Execute with Excellence.” Emphasis on curiosity, continuous learning, and a “let’s fix it” mentality. [goenumerate.com/careers] - **Benefits**: Comprehensive health and wellbeing benefits, learning & development investment, and celebration of wins. [goenumerate.com/careers] - **Engineering culture**: Modern tech stack with AI tooling (CursorAI, GitHub Copilot, ChatGPT) and cloud‑native infrastructure; focus on automation and operational efficiency. [Greenhouse job posting] ## Sources 1. [goenumerate.com/careers](https://goenumerate.com/careers) 2. [goenumerate.com](https://goenumerate.com/) 3. [linkedin.com/company/goenumerate](https://www.linkedin.com/company/goenumerate) 4. [goenumerate.com/about](https://goenumerate.com/about) 5. 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