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Unframe is an AI-first startup helping enterprises deploy LLM-powered applications at scale. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, the company works with Fortune 500 customers globally to move from AI concepts to deployed systems in days rather than months.
As an Enterprise Engagement Manager, you'll lead the delivery, adoption, and success of Unframe's AI solutions across the company's largest enterprise customers. This hybrid role combines program management, product enablement, and customer partnership—not traditional customer success.
Key responsibilities include:
- Own delivery and adoption of AI solutions from post-POC rollout through expansion
- Partner with Product Managers to translate customer needs into actionable project plans
- Orchestrate multi-stakeholder alignment across business, IT, and data teams within large organizations
- Define and measure success by tracking adoption, usage, and business impact
- Lead enablement and training sessions to help customers operationalize solutions
- Coordinate between internal teams (Product, Engineering, Solutions) to maintain project velocity
- Identify expansion opportunities by surfacing new use cases and operational gaps
- Provide structured field feedback to shape product roadmap and delivery playbooks
You'll need 3+ years in enterprise-facing roles such as Program Manager, Engagement Manager, Enterprise CSM, Implementation Lead, or Technical Account Manager. Proven experience managing complex, multi-stakeholder enterprise projects—ideally involving AI, data, or SaaS platforms with digital transformation elements—is essential. Strong execution and project management skills, business-technical fluency, excellent communication, and a hands-on problem-solving mindset are critical.
Nice-to-have qualifications include experience with AI/automation/data-driven transformations, PMO certification, background with LLM or GenAI products, technical fluency with APIs and data workflows, and consulting experience.
