Serv Recruitment Agency

• Owning cash management and treasury, including rolling 13-week forecasts, runway visibility, and proactive risk identification • Building and managing the annual budget in partnership with the COO, including monthly variance reporting and department-level P&Ls • Leading pricing and unit economics analysis, including LTV, payback periods, and offer profitability modeling • Supporting leadership decision-making by providing clear financial recommendations backed by data • Modeling hire sequencing and organizational growth scenarios tied to revenue milestones • Overseeing financial operations including credit card processes, vendor management, and financial controls • Managing external partners including CPA firms, tax strategy teams, and financial vendors • Building and scaling the internal finance function, including hiring and developing team members as the business grows • Ensuring clean, accurate, and timely monthly closes and financial reporting • Partnering cross-functionally with leadership to align financial strategy with business objectives

• Building, testing, and shipping AI demos, custom GPTs, and infrastructure that power curriculum across multiple programs • Creating polished, user-friendly Notion modules from approved curriculum frameworks and scripts • Extracting playbooks, frameworks, and case studies from calls, Slack threads, and student interactions • Contributing to and maintaining a centralized library of prompts, tools, and curriculum assets • Identifying and consolidating duplicate or outdated materials to maintain a clean, organized system • Partnering with the Curriculum Production Manager and cross-functional teams to address live cohort needs • Iterating quickly based on feedback to improve curriculum quality and usability • Supporting live cohorts by identifying gaps and delivering timely curriculum updates

• Owning the end-to-end management of community platforms, including Slack environments, channel structure, onboarding, moderation, and engagement strategy • Designing and executing community programming including quarterly themes, monthly initiatives, and weekly engagement rhythms that drive retention and participation • Building and delivering a weekly insights layer that informs marketing, curriculum, and student success teams • Identifying engagement trends, curriculum gaps, and member opportunities through community data and interactions • Leading community engagement during launch periods across Slack groups, Facebook communities, and live program environments • Driving high-impact engagement during key business moments while maintaining consistent experience for existing members • Building AI-powered systems to scale community operations, including automated summaries, sentiment tracking, and member engagement insights • Partnering cross-functionally to ensure community insights directly influence product, marketing, and customer experience decisions • Monitoring and improving key community health metrics including retention, engagement, and response times

• Own the design and delivery of the company’s data platform • Define and own the foundational data architecture including data models and relationships • Establish data contracts and guide the evolution to analytical and AI-ready systems • Design and build end-to-end data pipelines from ingestion through serving layers • Implement scalable ingestion from relational databases, object storage, event streams, and SaaS APIs • Establish data quality, observability, schema management, and pipeline reliability standards • Design multi-tenant data models, storage layouts, and access patterns • Implement tenant-aware security including row-level and column-level controls • Define data lifecycle management including retention, archival, and deletion strategies • Establish data governance standards including classification, lineage, and auditability • Partner with security and compliance teams to ensure privacy and regulatory alignment • Design serving layers for analytics, reporting, and internal business use • Prepare data systems to support AI-enabled capabilities including embeddings and advanced data structures • Evaluate and implement graph-based data models where appropriate • Mentor engineers and provide architectural oversight • Drive data literacy and data-informed decision making across the organization

• Define and evolve the internal platform toolchain across the full software development lifecycle • Build reusable abstractions, templates, and modules that standardize engineering practices • Establish onboarding and platform standards for internal teams and external vendors • Improve developer velocity, deployment frequency, and operational efficiency • Architect and own CI/CD systems for reliable, repeatable deployments • Implement progressive delivery strategies including blue/green, canary, and feature-flagged releases • Standardize build, artifact management, and deployment workflows • Embed automated quality, security, and policy controls into pipelines • Define and enforce Infrastructure as Code standards using tools such as Terraform • Build reusable infrastructure modules and environment blueprints • Ensure consistency across development, staging, and production environments • Implement policy-as-code for security, compliance, and configuration management • Embed security controls across infrastructure, pipelines, and runtime environments • Design IAM models, secrets management systems, and secure configuration practices • Integrate vulnerability scanning, supply chain protections, and compliance controls • Establish centralized observability across logs, metrics, and traces • Define SLOs, error budgets, and operational performance metrics • Build incident response tooling, runbooks, and postmortem processes • Improve system reliability, reduce incident frequency, and decrease recovery time • Extend platform capabilities to support AI workloads, inference pipelines, and model deployment • Ensure governance, cost control, and security standards apply to AI-enabled systems

• Lead the evolution of the platform as a product • Own the DevSecOps motion and define the standards, tooling, and infrastructure • Define and evolve the internal platform toolchain across the full software development lifecycle • Build reusable abstractions, templates, and modules that standardize engineering practices • Establish onboarding and platform standards for internal teams and external vendors • Improve developer velocity, deployment frequency, and operational efficiency • Architect and own CI/CD systems for reliable, repeatable deployments • Implement progressive delivery strategies including blue/green, canary, and feature-flagged releases • Standardize build, artifact management, and deployment workflows • Define and enforce Infrastructure as Code standards using tools such as Terraform • Build reusable infrastructure modules and environment blueprints • Ensure consistency across development, staging, and production environments • Implement policy-as-code for security, compliance, and configuration management • Design IAM models, secrets management systems, and secure configuration practices • Build incident response tooling, runbooks, and postmortem processes • Improve system reliability, reduce incident frequency, and decrease recovery time

• Define and lead the evolution of the AWS platform into a secure, resilient, tenant-aware, and enterprise-ready foundation • Set architectural direction, establish governance, and ensure platform scalability • Assess current AWS architecture and define a multi-year target-state roadmap aligned to business and product strategy • Establish architectural principles, reference patterns, and governance models • Design and evolve multi-tenant isolation strategies across compute, data, and messaging layers • Define and enforce security-by-design standards including encryption, access control, and auditability • Architect resilient, multi-AZ and multi-region systems with clear failure domains and disaster recovery strategies • Define RTO and RPO targets and validate through testing and failover exercises • Standardize AWS service usage across compute, networking, identity, storage, and messaging • Guide event-driven and API-based architecture patterns • Evaluate managed vs self-managed services with a long-term total cost perspective • Lead architectural direction with external partners and vendors, ensuring alignment with internal standards • Define and implement observability architecture across logging, metrics, tracing, and security signals • Establish architecture governance including review processes, decision frameworks, and data protection standards • Define data classification, handling, and tenant-aware data boundaries • Partner with security, compliance, and legal teams to ensure audit readiness • Evolve AWS organization structure including account strategy, OU design, and policy enforcement • Design architecture foundations to support AI capabilities including retrieval systems, inference, and agent-driven workflows • Ensure AI workloads align with tenant isolation, privacy, and governance requirements

• Own the full employee lifecycle, from recruiting and onboarding through performance management, compensation, benefits, and career development • Lead HR and recruiting operations while helping shape the culture and infrastructure of a rapidly growing business • Partner with leadership to define hiring needs and role requirements • Build and manage a high-quality multi-step interview process • Source, screen, interview, and evaluate candidates across all open roles • Manage candidate communication and interview scheduling efficiently • Own onboarding to create a strong new hire experience • Maintain employee documentation, records, and handbook updates • Design and manage the company performance review process • Support leadership with performance improvement plans and employee development • Partner on compensation planning, raises, and promotions • Administer benefits, PTO policies, and employee support requests • Manage employee growth plans and training initiatives • Coordinate gifting, recognition, and internal culture programs • Ensure HR practices remain compliant and aligned with company values

• Designing and optimizing the company’s analytics infrastructure, reporting systems, and business intelligence capabilities • Work across data engineering, reporting architecture, dashboard development, and data quality initiatives • Help ensure leadership has access to accurate, timely, and actionable data • Design, develop, and maintain scalable SQL-based data solutions using PostgreSQL • Build and optimize dimensional models, reporting tables, and curated data marts • Create and maintain dashboards and reports in Tableau, Power BI, or AWS QuickSight • Partner with business and technical stakeholders to define KPIs, reporting requirements, and metric definitions • Translate business questions into structured datasets, reporting logic, and executive-ready dashboards • Improve data quality, consistency, and reporting reliability across analytics workflows • Troubleshoot issues across source systems, SQL logic, transformations, and BI outputs • Document data definitions, reporting logic, and dashboard standards • Optimize query performance and reporting efficiency across PostgreSQL environments • Support ongoing analytics roadmap initiatives and business growth priorities

• Build and lead a unified multi-channel marketing engine across paid, organic, email, social, and affiliate channels • Own marketing strategy and execution for key launches, including campaign architecture, sequencing, and revenue targets • Lead funnel strategy and conversion optimization across all offers and customer journeys • Direct affiliate marketing strategy, partner performance, and ongoing channel growth • Develop scalable systems, workflows, and reporting processes to improve efficiency and output • Manage, mentor, and grow the marketing team while identifying future hiring needs • Partner with executive leadership on budget allocation, priorities, and growth strategy • Diagnose performance issues quickly and implement solutions tied to measurable outcomes • Build AI-first workflows and leverage automation to maximize team productivity • Ensure all channels operate with clear direction, alignment, and accountability