• Drive collaboration with multiple vendors to establish comprehensive estimates, delivery plans, and timelines for projects or programs within an application family. • Ensure the technological integrity and quality of vendor solutions, providing accountability across concurrent projects or programs. • Lead the delivery and technical guidance across an application family, ensuring alignment with strategic initiatives. • Serve as a technical leader for large or complex projects, including: Strategizing to optimize and modernize technology, focusing on technical debt reduction where applicable. • Leading knowledge-sharing efforts to strengthen internal and vendor partner expertise. • Acting as a subject matter expert on intricate components of the application environment. • Partner with architects to influence strategic decisions on the use, retirement, or addition of technology within the enterprise architecture. • Provide high-level technical expertise to projects involving multiple complex technology components. • Establish and promote the best practices, reusable components, and guidelines to optimize technology usage. • Lead incident response and problem resolution for critical production issues, ensuring thorough root cause analysis and long-term solutions. • Take on special projects or initiatives as assigned, often with organization-wide visibility and impact.

• Own prompt engineering and Claude API management, including versioning, testing, and optimization of agentic workflows used across the business. • Build, manage, and continuously improve n8n-based automation workflows that connect GTM systems, trigger alerts, sync data, and eliminate manual handoffs across the revenue organization. • Build and maintain REST API integrations and webhook-based automations that connect to Omilia’s tech stack. • Define and enforce data schema standards across the GTM stack, ensuring consistency, accuracy, and auditability across all systems. • Evaluate emerging AI tools and APIs; recommend and implement where they can deliver outsized ROI versus custom builds. • Continuously monitor and evaluate the latest developments in AI, LLMs, agentic frameworks, and automation tooling — translating emerging capabilities into concrete opportunities for Omilia's GTM and RevOps functions. • Serve as Omilia's internal AI radar: proactively surface new models, tools, and workflows that could accelerate seller productivity, improve data quality, or reduce operational overhead. • Run structured experiments and rapid prototypes to test new AI capabilities, document findings, and present business cases to leadership for adoption or scale. • Maintain a working knowledge of the competitive AI landscape, including key vendors, open-source frameworks, and industry benchmarks relevant to our GTM stack. • Propose, test, refine and scale new use cases for AI in marketing programs and operations. • Build, assist, and help maintain Claude-powered content workflows for campaigns, outbound sequences, sales one-pagers, and competitive battlecards. • Build AI-powered tools that dramatically increase seller productivity, including auto-research briefs, AI-drafted proposals, and intelligent follow-up cadence automation. • Develop a custom AI call intelligence layer to replace Gong.io, including call transcription, summary generation, coaching insights, and CRM sync. • Partner with Sales Enablement to automate and enhance onboarding resources, training content, and knowledge management systems. • Act as a strategic collaborator across Marketing, Sales, Revenue Operations, Finance, and Customer Success — identifying friction points, designing AI-powered solutions, and driving adoption across teams. • Work alongside Sales leadership to understand rep workflows, surface productivity bottlenecks, and deploy tools that reduce administrative burden and increase time spent selling. • Collaborate with Revenue Operations to ensure all automation, reporting, and AI tooling aligns with the company's data standards, forecasting models, and revenue targets. • Facilitate regular cross-functional syncs and demos to share progress, gather feedback, and maintain alignment on the AI roadmap across all stakeholder teams.

• Experiment & build features from ideation to implementation • Write simple, readable code & create maintainable abstractions

• Build server-side game logic components and game simulations for real-money online gambling-style games (slot-focused). • Partner with mathematicians to evaluate and implement game feature feasibility and align behavior with specifications. • Collaborate with front-end game client developers to define response structures that maximize player experience. • Perform hands-on software design and development with a focus on maintainable, efficient, and well-structured code. • Solve technical challenges within internal game development frameworks and tooling. • Write unit tests and participate in peer design/code reviews; promote a strong culture of code quality. • Collaborate effectively with a remote, distributed team to promote high quality and timely completion of projects.