• Build, manage, and optimize paid campaigns across LinkedIn, Meta, Reddit, X, and Google Ads with a focus on pipeline outcomes—not vanity metrics • Use AI tooling (Claude, Clay) to automate audience building, creative variation, bid optimization, and performance analysis • Design and run structured experiments across channels, creatives, audiences, and landing pages—with clear hypotheses and measurable outcomes • Own reporting on ad spend efficiency, pipeline attribution, and conversion metrics; surface insights that change strategy, not just confirm it • Monitor platform changes, new ad formats, and algorithm shifts; adapt campaigns proactively rather than reactively • Build AI-powered workflows that support events, content generation, social media, and nurture programs • Create systems that connect campaign data, enrichment signals, and CRM to improve targeting and personalization across channels • Automate repeatable processes across the demand gen function—eliminating manual work while maintaining quality and control • Collaborate with teammates across field marketing, content, partner marketing, and sales enablement to deliver projects that serve the full pipeline • Help demand gen teammates build, troubleshoot, and improve their own AI-powered projects—working alongside them, not just for them • Contribute reusable templates, prompts, and workflows that raise the team’s technical capabilities over time • Share what’s working (and what isn’t) openly; build a culture where the whole team gets better at GTM engineering, not just the GTM engineers

• Lead and manage infrastructure engineering personnel • Provide technical leadership, direction, prioritization, coaching, and performance management • Serve as the technical liaison between MICRO and parent company IT teams • Provide infrastructure, security, performance, and stability reporting to upper management • Support product and engineering teams across Accu-Trac, ProControl, and Stocker1 with infrastructure planning and technical strategy • Contribute to business continuity, disaster recovery, backup, and resiliency planning • Provide leadership and architectural oversight for Linux and Windows infrastructure environments

• Design and implement scalable, secure cloud solutions (AWS GovCloud / Azure) • Develop and manage AI/LLM solutions (RAG pipelines, agent-based workflows) • Define and enforce architecture standards, review gates, and best practices • Integrate systems across modern and legacy interfaces (REST, APIs, SOAP, data feeds) • Implement event-driven architectures and workflow orchestration • Establish AI guardrails, including prompt security and risk mitigation • Collaborate with product, data, and engineering teams to deliver MVP and scale solutions • Support technical training and knowledge transfer to government stakeholders

• Build and maintain frontend applications using Next.js 14+ (TypeScript) with multi-tenant routing • Develop backend services using Node.js (TypeScript) deployed via AWS Lambda • Ensure strong type safety and consistency across the full stack • Contribute to scalable, maintainable architecture across distributed systems • Design and maintain a dedicated integration layer using AWS Lambda + SQS • Integrate external platforms (e.g., gym systems, CFMS, Speedy Sticks, CommunityCare) • Implement retry logic, failure handling, and system resilience • Maintain clear separation between integration services and application APIs • AWS API Gateway in front of the integration layer Lambdas provides throttling, request validation, and API key management across third-party service endpoints • Treat AI-assisted development (e.g., Cursor, GitHub Copilot, or similar tools) as a baseline capability • Apply thoughtful prompt engineering and structured workflows to produce reliable, maintainable code • Use AI tools across the development lifecycle, including design, implementation, testing, and documentation • Stay current with the evolving AI tooling landscape and adopt practices that improve developer productivity • Build and maintain infrastructure using AWS Lambda, SQS, IAM, Cognito, Amplify, and RDS • Deploy frontend applications via AWS Amplify, Fargate or similar • Design systems that are scalable, cost-efficient, and operationally simple • Work with PostgreSQL (AWS RDS) using relational modeling • Implement row-level security for multi-tenant data isolation • Manage authentication and authorization using AWS Cognito (RBAC, JWT scoping) • Implement file storage using AWS S3 (e.g., lab results, CSV uploads) • Build notification workflows using AWS SES • Integrate and maintain payment systems using Stripe • Implement polling-based updates (30-second intervals) for journey tracking • Design user experiences that feel real-time while avoiding unnecessary infrastructure complexity • Own release cuts, including PR reviews and deployment coordination • Manage environment configurations, secrets, and package upgrades • Debug and resolve complex system and integration issues • Build proofs of concept (POCs) to validate new features and approaches • Lead or support Agile ceremonies (standups, sprint planning, retrospectives) • Partner with Product Managers to refine and deliver epics and requirements • Act as a technical point of contact within the pod and across collaborating teams • Provide guidance and context to teammates to support delivery and quality