The Sales Enablement Manager will build and execute comprehensive onboarding, training, and coaching programs to empower sales and customer-facing teams. They will also partner with leadership to integrate AI-driven workflows and optimize sales assets to accelerate revenue growth.
The Director of Sales will manage and coach a team of Account Executives and Business Development Representatives to ensure pipeline health and revenue target attainment. They will also partner with the VP of Sales on strategy, forecasting, and refining sales playbooks.
Own go-to-market strategy, positioning, and messaging across the product line, including launch planning, competitive intelligence, and customer feedback. Develop sales enablement and marketing materials, train sales teams, and align product, sales, and marketing around launches and customer-facing narratives.
The Procurement Manager will personally own the entire post-verbal-commit process, including redlining, negotiating, and finalizing contracts for new logos, upsells, and renewals. They will serve as the primary point of contact for external legal and procurement teams while coordinating internally across Sales, Customer Success, and Finance departments.
The Operations Support Specialist will monitor inbound donor replies, manage content moderation, and triage support tickets to ensure safe and accurate autonomous fundraising operations. They will also document recurring issues and collaborate with internal teams to improve workflows and maintain partner avatar content.
Design and maintain scalable AWS infrastructure and CI/CD pipelines to support AI-powered fundraising tools. Partner with ML and engineering teams to operationalize LLM workflows and improve system reliability and observability.
The Director of Fundraising Intelligence will analyze market data to create benchmarks and original research on autonomous AI fundraising. They will serve as a public voice for the company through conference presentations and white papers while providing data-backed insights to support Sales and Customer Success teams.
Design and maintain production-grade AI systems, focusing on agentic workflows and retrieval-augmented generation (RAG). Develop backend services and evaluation systems to ensure the reliability, observability, and scalability of AI-powered features.
