Jobs at ASAPP

Own the strategy, roadmap, and outcomes for ASAPP’s Messaging Platform, Virtual Agent, communication channels, and AI Services. Lead product decisions across human-agent productivity, automated conversations, AI-assisted workflows, channel architecture, documentation, metrics, and telemetry. Partner directly with enterprise customers, engineering, design, sales, and customer success to prioritize investments, manage tradeoffs, and deliver measurable improvements in customer experience, agent efficiency, quality, and compliance.

Analyze large-scale Generative AI deployments and conversational data to identify customer growth opportunities. Develop performance insights, forecasts, and impact analyses; support Customer Success and Strategy teams with client and stakeholder requests; and communicate recommendations through compelling presentations. Collaborate cross-functionally with Customer Success, Engineering, and Product teams to shape account strategies and improve customer experience outcomes.

Lead ASAPP’s product strategy, portfolio, and product organization as it scales enterprise AI products. Define product direction, convert AI research into reliable commercial offerings, identify repeatable customer needs, and oversee products from incubation through adoption and expansion. Partner closely with customers, engineering, research, sales, delivery, and design while setting standards for AI quality, safety, reliability, metrics, and operational execution. Recruit and develop exceptional product and design leaders and guide enterprise positioning, packaging, and deployment strategy.

Lead development of an evaluation platform for agentic AI and LLM systems. Design benchmarking, human review, LLM-as-judge, monitoring, annotation, dataset versioning, and data quality workflows. Own technical architecture, production infrastructure, stakeholder reporting, and platform health while partnering with research, product, and platform teams. Mentor engineers and support scalable AI experimentation and deployment.

Drive mid-market SaaS revenue by prospecting, managing the full sales cycle, conducting product demos, negotiating contracts, closing net-new business, and maintaining CRM records. The role requires building pipelines, researching prospects, nurturing executive relationships, and leveraging internal resources to meet sales targets.

Manage customer-facing software and AI delivery projects from initiation through closure. Build project plans, coordinate technical and business teams, communicate status and risks to enterprise customers and executives, support escalations, and improve PMO practices. The role also involves mentoring team members, evaluating AI use cases and data readiness, tracking AI-specific risks, and setting realistic expectations for conversational AI and generative AI deployments.

Own products that make AI agent behavior visible, testable, and reviewable at scale. Lead simulation-based scenario creation, evaluation surfaces, mistake monitoring, preview tools, and production conversation review. Partner with Research, Engineering, Sales, and Customer Success to improve quality, trust, and customer outcomes. The role requires product management experience in enterprise B2B SaaS, applied AI systems, testing or quality products, review tooling, and evaluation methodologies.

Manage strategic enterprise accounts across a national territory, growing existing customers and acquiring new logos. Build consultative account strategies, serve as a trusted AI and customer-experience advisor, drive adoption, forecast accurately, achieve bookings targets, and coordinate cross-functional teams and channel partners. The role requires navigating complex enterprises, engaging executives and decision-makers, developing champions, and creating value-based solutions in emerging AI, ML, and NLP markets.

Manage strategic enterprise accounts across a national territory, expanding existing customers and acquiring new logos. Build consultative account strategies, serve as a trusted AI and customer experience advisor, develop customer and channel-partner relationships, forecast and exceed bookings targets, and coordinate cross-functional teams to maximize customer and business outcomes. Support initiatives across the customer lifecycle, including business development, messaging, commercial positioning, and operational effectiveness.

Own and execute strategy and roadmap for the voice pipeline (ASR, TTS, streaming, latency, evals, model bets), manage vendor relationships and telephony integrations, prioritize features with customer-facing teams, define metrics and telemetry, and deliver measurable outcomes across voice experiences in enterprise contact centers.

Own the customer-facing data layer: roadmap for dashboards and analytics, data feeds/APIs, data strategy and schema design, customer discovery for KPIs, partner with engineering/data science, and maintain trust in data quality and availability to demonstrate GA value and ROI.