Enumerate

DevOps Engineer

• Design, implement, and evolve cloud infrastructure architectures for high availability, reliability, security, and scale.
• Define and maintain reference architectures and patterns for services, applications, and environments across the organization.
• Develop workflow processes and standards for building, deploying, and maintaining applications within a distributed architecture.
• Lead infrastructure modernization initiatives (e.g., containerization, Kubernetes adoption, infrastructure as code, platform consolidation).
• Establish and enforce governance standards for infrastructure, CI/CD, observability, and operational practices.
• Define and maintain policies for environment management, access control, configuration management, and change management.
• Implement cost management practices (e.g., tagging, budget alerts, rightsizing, reservations/committed use, auto-scaling policies) to optimize cloud spend.
• Partner with product and engineering leadership to balance performance, reliability, and cost-efficiency across environments.
• Use DORA metrics and industry benchmarks to drive continuous improvement in delivery and operational performance.
• Design, implement, and maintain CI/CD pipelines for multiple applications and environments using tools such as Git, Azure DevOps, GitLab, or Jenkins.
• Develop and manage automation pipelines for deployment, configuration, and infrastructure management.
• Build and maintain monitoring, alerting, and logging systems to ensure visibility, high availability, and performance of applications and services.
• Manage cloud infrastructure resources and services to ensure reliability, security, and scalability.
• Lead incident response efforts, including triage, root cause analysis, and post-incident reviews.
• Contribute to and maintain incident response processes, runbooks, and on-call practices.
• Partner with engineering teams to design resilient systems and reduce mean time to recovery (MTTR).
• Collaborate with software engineering, QA, product, and IT teams to determine the best way to tackle complex infrastructure, security, and delivery challenges.
• Mentor engineers in DevOps and platform practices, tools, and standards across the organization.
• Lead departmental initiatives related to DevOps, platform engineering, and infrastructure disciplines; present plans and progress to stakeholders.
• Drive new department initiatives based on organizational needs and your expertise in modern technologies and industry trends.
• Stay current on emerging technologies, tools, and best practices; evaluate their potential application within our tech stack.

Senior Site Reliability Engineer

Product Manager

• Define, prioritize and execute product roadmap that delivers robust Resident Engagement capabilities for Property Managers and Self-Management Associations and their customers, all in collaboration with designers, engineers, SMEs, and Product.
• Work closely with the Engineering organization to set prioritization and backlog of work. Share ownership of Agile ceremonies, including Sprint Planning, Sprint Reviews, Backlog refinement and release planning. Drive the backlog details, user stories, and priority.
• Drive strategy and execution across core resident engagement areas, including:
• Drive AI-powered automation of core workflows including data ingestion, classification, and workflow orchestration--reducing the workload of our customers and end users
• Design and deliver GenAI-powered capabilities such as copilots, assistants, and agent-based workflows embedded directly into core product experiences
• Enable predictive and prescriptive insights that help customers proactively manage communities, optimize workflows, and scale without increasing headcount
• Implement new avenues for driving adoption and utilization
• Identify, evaluate, and partner with third-party solutions that can accelerate product development and scale offerings
• Migrate off of legacy platforms to a consolidated, forward-looking product experience
• Deliver successful mobile app products, with a strong understanding of mobile user experience and platform best practices.
• Support go-to-market activities that enable Marketing, Sales, Customer Success and Operations to drive product adoption and grow revenue.
• Create and publish easy to consume customer-facing materials, presentations, articles and webinars that drive awareness and adoption of Resident Engagement capabilities.
• Directly partner with new and existing customers to understand Resident Engagement capabilities, processes and challenges customers face with a variety of workflows. Work with Product Leadership to incorporate Customer Feedback into solutions that remove friction and expand product value.
• Maintain clear documentation of use cases, product goals, user impact, risk, scope, KPIs, and customer outcomes.
• Participate actively in Agile ceremonies and practices to ensure delivery with quality and impact. This includes authoring epics, features, user stories, acceptance criteria, and supporting backlog refinement, sprint planning, standups, testing, retrospectives, and release planning.
• Partner closely with Engineering, Data, Architecture, and Design teams to deliver scalable, secure, explainable, and production-ready solutions.
• Be a strong internal advocate that regularly engages with the organization to train on capabilities, workflow changes and overall value proposition of our solution, particularly as it relates to homeowner engagement.
• Maintain a close pulse on market trends and competitors to ensure Enumerate remains a leader in AI-enabled property management

Account Manager

• Be the voice of the customer and navigate internal processes with stakeholders from various teams.
• Provide support to associations, granting users access to Enumerate Central and triaging issues as they arise
• Act as a liaison between clients and internal teams, working with the client to gather the information and documentation needed by internal teams to set up bank accounts and complete reconciliations
• Assist with challenging customer requests or issue escalations as needed.
• Answer customer questions in a timely and accurate manner via phone or Zendesk ticketing system.
• Assess customer needs and communicate feedback to peers and leadership
• Collaborate with cross-functional teams to resolve customer requests in a timely and effective manner
• Track key performance indicators related to client relationships, such as customer satisfaction, retention rates, and revenue growth
• Maintain a strong understanding of customer needs and a commitment to delivering exceptional customer service

Relationship Manager

QA Automation Engineer

• Design and implement workflow automation and system integrations across enterprise SaaS platforms and internal systems.
• Build cloud-native automation services and event-driven workflows using modern cloud platforms and APIs.
• Develop integrations involving communication systems, ticketing platforms, CRM/workflow systems, and operational tools.
• Implement secure OAuth-based authentication and enterprise access control models.
• Build scalable orchestration services, queue-based processing, retry handling, and monitoring capabilities.
• Develop AI-assisted operational workflows including classification, routing, summarization, extraction, and response assistance.
• Design and maintain integration APIs, webhooks, and asynchronous processing pipelines.
• Collaborate with operations, support, product, and engineering teams to identify automation opportunities and deliver workflow improvements.
• Build observability, telemetry, audit logging, and operational reporting capabilities.
• Ensure automation solutions meet security, compliance, governance, and reliability standards.
• Leverage modern AI development tools (CursorAI, GitHub Copilot, ChatGPT, etc.) to improve engineering productivity and delivery speed.
• Work closely with the technology team to ensure architectural and design alignment with Enumerate's technology strategy.

EFS Automation Engineer

Onboarding Specialist

• Serve as the main point of contact for new clients during the onboarding and implementation process.
• Guide clients through the activation, implementation and adoption of our Central, Engage and Payments software products, ensuring they achieve all milestones in a timely manner.
• Collaborate with internal teams such as Sales, Implementation, Customer Success, and Product to ensure seamless transitions.
• Provide training and guidance to clients to help them understand and adopt the platform efficiently.
• Monitor the progress of each onboarding project, ensuring deadlines and client expectations are met.
• Conduct regular check-ins with clients to troubleshoot issues, provide Tier 1 support, and track progress while customers are in the onboarding phase of their journey.
• Document and maintain accurate onboarding records in the company’s systems.
• Identify areas for improvement in the onboarding process and propose new methods to optimize efficiency and client satisfaction.
• Participate in project scoping and resource allocation discussions to ensure proper execution of onboarding plans.

Onboarding Manager

Sales Development Rep

• Own outbound prospecting into Enumerate’s ICP: property management companies that manage HOA and COA communities
• Build and maintain a qualified pipeline of meetings for the AE team through multi-channel outreach including phone, email, LinkedIn, and video
• Qualify inbound leads and route them to AEs with the context and discovery that makes handoffs seamless
• Conduct conversations that surface pain points, buying signals, deal context, and community count to set AEs up for success
• Help build and refine outbound cadences, messaging, and targeting strategies alongside the VP of Sales and Head of Demand Generation
• Test new approaches constantly: new channels, new messaging angles, new tools. What works stays, what doesn’t gets replaced
• Provide frontline feedback on what prospects are saying, what objections come up, and where the pitch lands or falls flat
• Document what works so the playbook gets sharper every week
• Use modern sales tools (CRM, sequencing, prospecting platforms) to work smarter and faster
• Lean into AI-powered tools for research, personalization, and outreach as part of your daily workflow
• Bring ideas to the table on how to use technology to multiply your output and improve your results.

Sales Development Representative

Full-stack Engineer

• 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.
• 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.
• 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.
• 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.
• 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.