Open Roles

The Director of Finance is responsible for leading the company’s corporate finance and accounting function.This role focuses on delivering accurate financial insights, supporting operational decision-making, and driving financial discipline, while overseeing the accounting function to ensure accurate reporting and strong internal controls. This role requires a player-coach mindset: a leader who is equally comfortable rolling up their sleeves on complex financial matters while mentoring and empowering the accounting team. This position reports to the CFO.    Key Responsibilities  Financial Planning, Analysis & Corporate Finance  Lead annual budgeting, forecasting, and quarterly reforecast processes.  Develop and maintain financial models, forecasts, and KPI reporting, including SaaS metrics such as ARR, payments utilization, churn, retention, LTV/CAC, and gross margin.  Analyze financial results and provide variance analysis and actionable insights to support decision-making.  Prepare and deliver monthly and quarterly management reporting packages.  Monitor financial performance, including revenue, expenses, and cash flow.  Support cost management, resource allocation, and financial discipline across the organization.  Partner with department leaders on budget management and financial performance tracking.  Ensure consistency and integrity of financial data across systems and reporting.  Accounting, Tax, Treasury & Audit Oversight  Lead, coach, and develop the accounting team, including management of AR/AP, revenue, and senior accounting functions.  Oversee day-to-day accounting operations and the monthly, quarterly, and annual close processes to ensure timely, accurate reporting.  Ensure financial statements are compliant with GAAP and internal policies, including oversight of technical accounting matters and complex transactions.  Establish, maintain, and enforce accounting policies, procedures, and internal controls to support consistency, accuracy, and audit readiness.  Oversee revenue operations (order-to-cash), tax compliance, and cash management, including forecasting and liquidity planning.  Manage external relationships, including auditors, banking partners, and advisors, ensuring successful audits and compliance with debt and regulatory requirements.  Process Improvement & Systems  Drive improvements in financial reporting, forecasting accuracy, and close efficiency.  Build and scale financial processes and controls to support company growth.    Qualifications  Bachelor’s degree in Finance, Accounting, or related field (CPA or MBA a plus)  8–12+ years of experience in FP&A, corporate finance, or related roles  Strong experience with budgeting, forecasting, and financial reporting  Experience managing and developing accounting teams  Solid understanding of GAAP, technical accounting, treasury/bank relationships, audit, and financial controls  Advanced Excel skills and experience with Netsuite required and Planful a plus 

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 seeking a PHP Software Engineer to help maintain and stabilize our core product and platform systems across our software and payments ecosystem. This is a hands-on engineering role focused primarily on debugging, troubleshooting, and resolving production issues within an existing vanilla PHP codebase, rather than building large new features. You will work closely with Product, QA, and Support to investigate defects, improve system reliability, and ensure consistent behavior across our application. This role is ideal for an experienced PHP engineer who enjoys digging into legacy code, understanding complex business logic, and making incremental, high-impact improvements. Key Responsibilities & Deliverables Maintenance & Bug Resolution Investigate, diagnose, and resolve bugs in a vanilla PHP application. Debug complex issues across application logic, database interactions, and integrations. Deliver safe, well-tested fixes that minimize regression risk. Take ownership of assigned features or components from development through release. Write clear comments and documentation to support maintainability. Production Support & Reliability Collaborate with QA and Support to reproduce reported issues and validate fixes. Analyze logs, error reports, and monitoring data to identify root causes. Ensure fixes align with existing system behavior and user expectations. Assist with minor performance improvements and reliability enhancements. Engineering Practices Participate actively in code reviews and technical discussions. Apply agreed-upon standards for code quality, testing, and deployment. Use AI-assisted development tools (such as CursorAI, GitHub Copilot, or similar) to accelerate development, testing, and documentation. Contribute incremental improvements to shared utilities or internal tooling when beneficial. Skills, Knowledge & Expertise Required Qualifications Proven experience working as a PHP engineer delivering production software. Demonstrated ability to debug and fix issues in large or legacy codebases. Solid understanding of relational databases and SQL. Solid understanding of modern development practices, including version control (Git), CI/CD, and automated testing. Comfortable working independently in a remote role on a vanilla PHP codebase. Strong analytical and problem-solving skills, especially when tracing complex bugs. Experience using AI-assisted coding tools as part of daily development workflows. Preferred Qualifications Experience working in Fintech, payments, accounting, or financial services domains. Familiarity with PHP applications that integrate with third-party APIs. Experience maintaining legacy systems or long-lived production platforms. Understanding of secure coding practices and data integrity concerns.   Engagement Terms This role will be engaged under a Contractor of Record arrangement and structured as project-based work. You will work remotely from LATAM, collaborating closely with Enumerate’s distributed engineering and product teams. Scope, deliverables, and timelines will be defined per engagement.   About Enumerate Enumerate is a best-in-class provider of property management software and payments solutions for community associations. We help associations operate more efficiently by digitizing accounting processes, operational workflows, AR & AP payments, and resident engagement — reducing administrative effort by over 75%. With tens of thousands of communities and millions of homes managed, Enumerate delivers a comprehensive end-to-end platform combining SaaS, Services, and Payments. We are uniquely positioned for continued growth in a category expanding 25–30% year over year.