Build and execute channel partnerships that generate pipeline and revenue, recruiting and enabling partners while co-selling enterprise opportunities and coordinating technical alignment across teams.
Asapp jobs
Agentic customer experience platform for enterprises.
11 open roles at Asapp
Analyze large-scale Generative AI deployments and customer conversation data to uncover growth opportunities, measure client performance, and deliver strategic recommendations that shape account strategy and AI products.
Set product strategy and lead an enterprise AI portfolio from early product-market fit through production scale, aligning teams around customer outcomes, AI quality, commercial value, and durable differentiation.
Lead the design and growth of an evaluation platform that measures quality, safety, and performance across agentic AI systems, helping teams confidently assess model and agent changes before release.
Manage customer-facing software and AI delivery projects from initiation through closure, coordinating technical and business teams to deliver predictable execution and a high-quality experience for enterprise customers.
Manage and grow enterprise accounts while winning new customers, advising on AI-enabled customer experience, and driving measurable business outcomes across complex sales cycles.
Own product strategy for tools that help builders simulate, test, and preview AI agent behavior, while enabling reviewers to audit conversations and assess quality before and after production.
Manage strategic enterprise accounts by growing existing business and winning new customers, serving as a trusted advisor on AI-powered customer experience, and driving bookings, adoption, and customer outcomes.
Own strategy, roadmap, and outcomes for ASAPPβs messaging platform, Virtual Agent, communication channels, and AI services, improving collaboration between human agents and AI.
Own the data product strategy for customer-facing analytics, dashboards, feeds, and APIs, helping enterprise customers understand AI performance, demonstrate ROI, and trust the metrics behind their decisions.
Optimizes ASR and TTS models and builds scalable, low-latency voice infrastructure for real-time AI conversations, improving speech quality, reliability, and performance in demanding call center environments.
Page 1 Β· 11 results
