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Develop and execute growth marketing for enterprise AI systems by translating technical work into compelling stories, videos, demos, and case studies. Shape company positioning, own social and content channels, build marketing tools and agentic workflows, track pipeline impact, and run experiments. The role combines strategic marketing, business storytelling, content creation, coding, and AI research.

Develops and communicates the business impact of enterprise AI systems through writing, video, demos, case studies, and digital channels. Shapes company positioning, owns LinkedIn, YouTube, X, and future channels, and runs performance-driven marketing experiments. Builds marketing tools such as scrapers, agentic case-study generators, microsites, and pipeline dashboards using Python or TypeScript. Requires strong writing, business understanding, hands-on coding, AI knowledge, and a portfolio of shipped work.

Designs and delivers production-grade GenAI solutions, including LLM applications, AI agents, RAG systems, Python services, and cloud-native architectures. Leads technical discovery, solution architecture, scoping, presales, architecture reviews, and client-facing engagements from inception through production. Mentors engineers, conducts code reviews, establishes Python engineering standards, and advises clients on architectural tradeoffs, cloud costs, testing, deployment, and AI quality assurance.

Build and enhance RAG systems, AI components, backend services, data pipelines, REST APIs, evaluation harnesses, and production AWS deployments. Write tests, investigate model failure modes, support containerized CI/CD releases, document solutions, and contribute to architecture and client handoffs. The role offers senior guidance while progressively increasing ownership of technical decisions and system components.

Build and enhance RAG systems, AI components, backend services, data pipelines, and REST APIs under senior guidance. Write production code, tests, evaluation harnesses, documentation, and runbooks. Support AWS deployments using containers and CI/CD, investigate model failure modes, and contribute to architectural decisions. The role offers increasing ownership while collaborating with senior engineers, FDEs, FDXs, and enterprise clients in distributed teams.

Owns two revenue motions: converting Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently generating new business in Financial Services and Life Sciences. Responsibilities include full-cycle sales, partner relationship management, co-selling, pipeline reviews, joint go-to-market planning, executive engagement, proposal scoping, negotiations, and closing consulting statements of work. The role also requires building an enterprise decision-maker network and collaborating with delivery, architecture, leadership, and marketing teams.

Sources and qualifies new business across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services opportunities. The role targets mid-market and enterprise clients, requires independent prospecting and negotiation skills, and involves attending industry events and client meetings with approximately 40% travel.

Owns partner-sourced and self-generated enterprise sales motions for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed SOW, develops co-selling opportunities, maintains joint pipelines, and leads partner business reviews. Independently prospects and closes Financial Services and Life Sciences accounts, collaborates with delivery architects on solution scoping, and provides market intelligence to leadership and marketing. Travel of up to 40% is required.

Owns partner-sourced and self-sourced enterprise sales for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed statements of work, develops new enterprise accounts in Financial Services and Life Sciences, coordinates solution scoping with delivery and architecture teams, leads co-selling and joint pipeline activities, and provides market intelligence to leadership and marketing.

Sources and qualifies new business opportunities across North America, builds sales pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology services deals. The role focuses on selling AI and cloud solutions to mid-market and enterprise clients, requires independent prospecting and negotiation skills, and includes attendance at industry events and client meetings with approximately 40% travel.