Oversee (formerly FairFly)

Sales Operations Manager

• Design and own Oversee's sales enablement strategy end-to-end, defining the frameworks, programs, and roadmap that scale with the business as we move upmarket and expand our solution portfolio;
• Build a repeatable onboarding and certification program for all customer-facing roles (AEs, SDRs, Solutions Engineers, Account Managers, and Sales Leaders), with clear milestones, assessments, and ramp benchmarks;
• Develop role-based learning paths and ongoing coaching programs that build capability progressively, not just at hire;
• Establish the company's enterprise sales methodology - operationalizing a consistent approach to discovery, qualification, value selling, multi-threading, and executive engagement across the entire revenue org;
• Create playbooks and training programs specifically for selling AI and agentic automation solutions, equipping teams to navigate both business and technical buying committees effectively;
• Define and document cross-functional engagement models across the sales cycle - clarifying how AEs, Solutions Engineers, SDRs, Customer Success, and Leadership collaborate from first touch through close and handoff;
• Establish best practices for technical demonstrations, proof-of-concepts, security reviews, and executive presentations, including handoff standards between sales, implementation, and customer success;
• Partner with Marketing to develop competitive positioning, battlecards, and sales content that reflect how buyers actually evaluate and select in our category;
• Work with Product and Engineering to ensure sales teams have current, accurate knowledge of our capabilities and roadmap so they can sell with confidence and credibility;
• Partner with Revenue Operations to identify skill gaps and productivity bottlenecks, and build a reporting framework around meaningful enablement metrics such as win rate, average sales cycle, AE ramp time, and others - to measure impact and continuously improve the program.

Sales Enablement Manager

Full-stack Engineer

• Design, build, and scale AI-driven systems that power our virtual agent capabilities, including conversational reasoning, retrieval systems, tool calling, and automation workflows;
• Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems, and third-party platforms) to support real-time decision-making;
• Build and deploy AI agents that solve real-world business problems;
• Own architecture decisions for distributed, high-performance AI applications;
• Continuously improve model performance, reliability, observability, and evaluation frameworks;
• Help define engineering best practices and contribute to technical direction across the team.

Sales Enablement Manager

Senior Software Engineer, Applied AI