ITCAN Technology and Digital Marketing

• Own performance & influencer marketing accounts (ROAS-driven) • Lead optimization, retention, growth planning, and upselling • Build strong, strategic client relationships • Collaborate closely with Product to translate client requirements into actionable inputs • Coordinate cross-functionally (BI, Ops, Finance, Influencer, Product) • Identify workflow gaps and proactively improve processes

• Design and implement a scalable, modern cloud-based data platform. • Architect and maintain batch and streaming data pipelines. • Define and enforce data modeling standards and governance practices. • Ensure platform performance, scalability, reliability, and security. • Lead technical design decisions and define long-term architectural roadmaps. • Review code, enforce engineering best practices, and guide future data hires. • Design data foundations to support forecasting, attribution modeling, CDP integrations, and marketing analytics. • Collaborate with Product, BI, and Data Science teams to create analytics-ready datasets. • Act as the internal technical authority for all data architecture decisions.

• Own performance & influencer marketing accounts (ROAS-driven) • Lead optimization, retention, growth planning, and upselling • Build strong, strategic client relationships • Collaborate closely with Product to translate client requirements into actionable inputs • Coordinate cross-functionally (BI, Ops, Finance, Influencer, Product) • Identify workflow gaps and proactively improve processes

• Own MoonTech’s positioning, USP, and messaging architecture across all audiences • Define clear B2B and B2C narratives (brands, creators, market) • Lead market and competitor analysis to continuously refine positioning • Translate business priorities into clear messaging strategy • Own all core marketing outputs: Website messaging, Sales and investor decks, and Event and campaign materials. • Define and drive activation calendar aligned with growth and key milestones • Own end-to-end communication strategy and execution across all channels • Build and manage a structured content and communications calendar • Ensure one consistent narrative across all touchpoints • Develop and maintain: Messaging frameworks, FAQs and objection handling, and Internal communication guidelines • Lead creative direction and execution with agencies, freelancers, and internal teams • Own brand consistency and quality control across all outputs • Drive PR and media readiness: Founder media prep, Interview messaging, and External communication alignment • Own investor narrative and messaging consistency • Prepare founders for: Fundraising, Investor meetings, and Public and media appearances • Build structured talking points and Q&A frameworks • Ensure clear, repeatable narratives across launches, campaigns, and growth initiatives

• Own and consolidate MoonTech’s messaging framework across brands, investors, and creators • Develop and maintain positioning statements, differentiators, and elevator pitches • Build and update FAQs and objection-handling frameworks • Create structured founder talking points (“what to say / what not to say”) • Ensure consistent narrative adoption across internal and external communications • Coordinate founder communication strategy (who speaks, when, and on which topics) • Prepare founders for investor meetings, events, media interviews, and fundraising conversations • Develop interview briefs with anticipated questions and structured responses • Coordinate media training providers where required • Build and manage a strategic content and communications calendar aligned with key seasons, events, and company milestones • Drive weekly communication execution across relevant channels • Ensure messaging remains simple and accessible for non-performance audiences • Oversee brand consistency across website copy, decks, social presence, and event materials • Develop clear creative briefs and manage timelines with designers, freelancers, and agencies • Ensure outputs align with positioning and reduce revision cycles • Conduct competitive and market research to track messaging trends and positioning gaps • Translate insights into actionable strategic recommendations • Plan and execute event communication strategies (pre-event, during-event, post-event) • Coordinate booth messaging, collateral needs, and narrative amplification

• Build and ship AI-enabled automation that improves scalability, reliability, and cost-to-serve across MoonTech workflows. • Design, implement, and own production services for AI features — APIs, orchestration, background jobs, and monitoring. • Build full-stack product surfaces for internal tools and user-facing automation, including clean UX, resilient backend logic, and secure data handling. • Partner with Product, Data, and Engineering to translate business workflows into automated systems with clear success metrics. • Implement evaluation and quality loops for AI features, including test datasets, online measurement, and feedback-driven iteration. • Integrate with third-party systems and internal services (payments, CRM, attribution/analytics, messaging, partner platforms) to automate end-to-end journeys. • Establish operational excellence for AI workflows: observability, incident readiness, cost controls, rate limiting, and reliability safeguards. • Contribute to platform standards around data privacy, access control, and safe deployment patterns. • Shape AI use cases in partnership with Product and Engineering, and measure impact through clear evaluation metrics. • Use AI tools and automation in your own day-to-day work to streamline analysis, documentation, and planning.

• Design and maintain dashboards using Looker Studio or Power BI • Build robust datasets and KPIs that support self-service analytics. • Use SQL and Python to extract, validate, and analyze multi-source data • Support marketing, sales, product, and operations teams with insights that drive real impact • Assist in improving and maintaining data models and definitions • Conduct QA checks and investigate discrepancies across analytics tools • Present insights in a clear, actionable manner to both technical and non-technical stakeholders • Get involved in data platform initiatives— onboarding tools, validating migrations, or enhancing connectors

• Architect, develop, and maintain high-performance, cloud-native backend services in Go. • Build a unified API layer and containerized microservices on AWS ECS/Fargate. • Implement secure authentication, robust input/output validation, and OpenAPI-based integration. • Optimize data access patterns and scalability using PostgreSQL. • Partner with the Tech Lead and CTO to evolve a modern AWS-based platform, leveraging IaC and automation. • Extend and maintain Terraform-based infrastructure, ensuring reproducibility and consistency. • Lead improvements to the CI/CD pipelines (GitHub Actions) to enable automated testing, deployment, and blue/green rollouts. • Champion observability practices - integrate metrics, logging, and tracing using CloudWatch, Prometheus, and Grafana. • Drive system reliability, performance, and fault tolerance across all services. • Enforce code quality via thorough testing, peer reviews, and Go best practices. • Oversee API versioning and schema evolution to maintain backward compatibility. • Collaborate closely with DevOps, QA, and frontend/mobile engineers to ensure smooth, zero-downtime deployments.

• Own product strategy across a defined portfolio • Translate strategy into clear bets and measurable outcomes • Lead quarterly planning and roadmap governance • Identify and prioritize AI opportunities • Partner with Engineering and Data to shape AI-enabled initiatives • Lead the Delivery team to ensure high-quality execution across multiple squads • Drive cross-functional coordination across Engineering, Design, Data, and Operations • Set the bar for product artifacts and delivery readiness • Lead, coach, and develop Product Managers and Delivery leads • Serve as a senior partner to Marketing, Sales, Partnerships, and Customer teams