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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in enterprise technology with a focus on applied AI and ML, including hands-on expertise in LLMs and conversational AI. Proven ability to communicate complex technical concepts to diverse audiences and drive technical outcomes in enterprise programs.
Highest-signal resume keywords
10+ Years In Enterprise TechnologyHands-On Experience With LLMsConversational AI FamiliarityExcellent Executive PresenceTrack Record Of Publishing On Applied AI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
LLM Application ArchitecturePrompt EngineeringTechnical Outcome OwnershipApplied AISolutions Leadership
Soft Skills
Excellent CommunicationGood JudgmentExecutive Presence
Tools & Technologies
CX TechnologyCCaaSAI PlatformsCloud PlatformsData Platforms
Industry Keywords
Travel And HospitalityFinancial ServicesTelecommunicationsInsuranceContact Center Technology
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Serve as a trusted technical advisor to CTOs, CIOs, heads of CX technology, and enterprise architects at strategic prospects and customers
- Bring a clear point of view on conversational and agentic AI and help customers decide what to adopt, plan for, or skip
- Lead executive briefings, architecture discussions, and workshops alongside account and solutions teams
- Shape and qualify custom requests, favoring reusable product capabilities, and partner with Product and Delivery before making commitments
- Complete a structured onboarding rotation through Delivery, Research, and Engineering teams
- Embed regularly with Delivery, Research, and Engineering and turn learnings into guidance for Solution Engineers and related technical field teams
- Bring customer needs back to Product and Engineering as clear, prioritized input
- Represent ASAPP externally through content, talks, and industry conversations
Requirements
What you’ll need- 10+ years in enterprise technology, including 5+ years as a principal or lead architect, solutions leader, engineering director, or applied AI/ML lead
- Hands-on experience with LLMs, prompt engineering, and LLM application architecture
- Familiarity with conversational AI and speech
- Track record of owning technical outcomes on complex enterprise programs
- Excellent executive presence and communication, with the ability to explain technical ideas to both business and engineering audiences
- Good judgment about scope, including the confidence to tell a customer "not yet"
- Track record of publishing or presenting on applied AI, such as LinkedIn posts, a blog, a YouTube channel, or conference talks
- Contact center tech, CCaaS, or CX technology experience (nice to have)
- Experience in a field CTO, office-of-the-CTO, or principal architect role at an AI, cloud, or data platform company (nice to have)
- Depth in travel and hospitality, financial services, telecommunications, or insurance (nice to have)
Benefits
Comp & perks- Equal opportunity employment
- Disability assistance with the employment application process
