Environmental Management Authority

Artificial Intelligence

• Architect and deploy Generative AI solutions, including LLM-based workflows and production-grade conversational AI systems
• Mentor junior AI engineers and ensure timely delivery of high-quality implementations
• Collaborate with enterprise clients to understand objectives and translate them into actionable AI workflows
• Design and integrate complex software systems with APIs, ensuring end-to-end functionality
• Oversee cloud deployment on platforms like AWS, GCP, or Azure
• Conduct A/B and A/A testing to refine workflows and improve prompt accuracy
• Implement monitoring tools for real-time metrics and system reliability
• Align AI initiatives with organizational goals and report progress to leadership
• Stay updated on the latest trends and innovations in Generative AI to ensure state-of-the-art solutions

AI Applications Lead

Product Marketing

• Own the end-to-end activation and completion funnel for partner and customer builders to shorten time-to-first-value
• Create a cohesive developer journey by integrating documentation, in-product guidance, lifecycle communications, and community programs
• Design and build documentation information architecture and a comprehensive set of developer resources
• Launch and manage behavior-based lifecycle communications (welcome series, activation nudges, re-engagement campaigns)
• Launch and grow "Ema Labs" to foster a developer community, showcase projects, and generate case studies
• Work with Product and Engineering to improve the first-time user experience with in-product checklists, contextual docs, and other guidance
• Define, track, and report on key success metrics to measure effectiveness of developer enablement and marketing programs
• Deliverables within six months include reducing median Time-to-First-Workflow to ≤7 days, producing 8-10 production-quality templates, and running 1-2 Ema Labs cohorts producing 30+ projects and 4+ case studies

Product Marketing Manager – Developer

Operations

• Nurture, advance, and close complex enterprise opportunities.
• Lead a highly consultative process with multiple stakeholders, from C-suite executives to technical evaluators.
• Develop ROI models, business cases, and value frameworks that quantify the impact of AI adoption.
• Design creative pricing structures tied to measurable business outcomes.
• Guide prospects through the consultative sales journey, balancing strategic storytelling with detailed execution.
• Draft and negotiate sophisticated SOWs that integrate products and services.
• Coordinate input across internal teams (product, delivery, engineering, finance, marketing) to deliver coherent and compelling proposals.
• Contribute to the development of value propositions, sales decks, and GTM strategy for verticals and geographies.
• Provide structured feedback to cross-functional teams to improve offerings, pricing models, and market approach.

Environmental Management Authority

AI Applications Lead

Product Marketing Manager – Developer

Sales Strategy and Operations Manager

Regional Vice President, Sales